Di 27. Apr 16:44:10 CEST 2021 cd /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01 setenv SUBJECTS_DIR /mnt/twork/username/DELCODEM12/fs7/fs /share/apps/freesurfer_7.1/bin/recon-all -sd /mnt/twork/username/DELCODEM12/fs7/fs -s 81489f2bb-M12_T1_01 -i /mnt/twork/yakupovr/DELCODEM12/fs7/nii/81489f2bb-M12_T1_01/scans/dzne_MPRAGE_1iso_PAT2_s03.nii.gz subjid 81489f2bb-M12_T1_01 setenv SUBJECTS_DIR /mnt/twork/username/DELCODEM12/fs7/fs FREESURFER_HOME /share/apps/freesurfer_7.1 Actual FREESURFER_HOME /share/apps/freesurfer_7.1 build-stamp.txt: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 Linux ikndnode-0-0.local 2.6.32-504.16.2.el6.x86_64 #1 SMP Wed Apr 22 06:48:29 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux cputime unlimited filesize unlimited datasize unlimited stacksize 10240 kbytes coredumpsize 0 kbytes memoryuse unlimited vmemoryuse unlimited descriptors 8192 memorylocked unlimited maxproc 4135098 ######################################## program versions used 7.1.1 (freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551) 7.1.1 ProgramName: lta_convert ProgramArguments: lta_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_and ProgramArguments: mri_and -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_annotation2label ProgramArguments: mri_annotation2label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_aparc2aseg ProgramArguments: mri_aparc2aseg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surf2volseg ProgramArguments: mri_surf2volseg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_binarize ProgramArguments: mri_binarize -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_ca_label ProgramArguments: mri_ca_label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_ca_normalize ProgramArguments: mri_ca_normalize -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_ca_register ProgramArguments: mri_ca_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_cc ProgramArguments: mri_cc -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_compute_overlap ProgramArguments: mri_compute_overlap -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_compute_seg_overlap ProgramArguments: mri_compute_seg_overlap -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_concat ProgramArguments: mri_concat -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_concatenate_lta ProgramArguments: mri_concatenate_lta -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 mri_convert -all-info ProgramName: mri_convert ProgramArguments: mri_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_diff ProgramArguments: mri_diff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_edit_wm_with_aseg ProgramArguments: mri_edit_wm_with_aseg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_em_register ProgramArguments: mri_em_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_fill ProgramArguments: mri_fill -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_fuse_segmentations ProgramArguments: mri_fuse_segmentations -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_fwhm ProgramArguments: mri_fwhm -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_gcut ProgramArguments: mri_gcut -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_info ProgramArguments: mri_info -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_label2label ProgramArguments: mri_label2label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_label2vol ProgramArguments: mri_label2vol -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_log_likelihood ProgramArguments: mri_log_likelihood -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_mask ProgramArguments: mri_mask -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_matrix_multiply ProgramArguments: mri_matrix_multiply -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_normalize ProgramArguments: mri_normalize -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_normalize_tp2 ProgramArguments: mri_normalize_tp2 -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_or ProgramArguments: mri_or -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_relabel_hypointensities ProgramArguments: mri_relabel_hypointensities -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_relabel_nonwm_hypos ProgramArguments: mri_relabel_nonwm_hypos -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_remove_neck ProgramArguments: mri_remove_neck -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 7.1.1 ProgramName: mri_robust_register ProgramArguments: mri_robust_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 7.1.1 ProgramName: mri_robust_template ProgramArguments: mri_robust_template -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:10-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_anatomical_stats ProgramArguments: mris_anatomical_stats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_ca_label ProgramArguments: mris_ca_label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_calc ProgramArguments: mris_calc -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_convert ProgramArguments: mris_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_curvature ProgramArguments: mris_curvature -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_curvature_stats ProgramArguments: mris_curvature_stats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_diff ProgramArguments: mris_diff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_divide_parcellation ProgramArguments: mris_divide_parcellation -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_segment ProgramArguments: mri_segment -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_segstats ProgramArguments: mri_segstats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_euler_number ProgramArguments: mris_euler_number -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_fix_topology ProgramArguments: mris_fix_topology -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_topo_fixer ProgramArguments: mris_topo_fixer -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_jacobian ProgramArguments: mris_jacobian -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_label2annot ProgramArguments: mris_label2annot -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_left_right_register ProgramArguments: mris_left_right_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_place_surface ProgramArguments: mris_place_surface -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mrisp_paint ProgramArguments: mrisp_paint -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_register ProgramArguments: mris_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_smooth ProgramArguments: mris_smooth -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_sphere ProgramArguments: mris_sphere -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_surface_stats ProgramArguments: mris_surface_stats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_stats2seg ProgramArguments: mri_stats2seg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_thickness ProgramArguments: mris_thickness -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_thickness_diff ProgramArguments: mris_thickness_diff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_topo_fixer ProgramArguments: mris_topo_fixer -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surf2surf ProgramArguments: mri_surf2surf -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surf2vol ProgramArguments: mri_surf2vol -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surfcluster ProgramArguments: mri_surfcluster -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_volmask ProgramArguments: mris_volmask -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_tessellate ProgramArguments: mri_tessellate -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_vol2surf ProgramArguments: mri_vol2surf -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_vol2vol ProgramArguments: mri_vol2vol -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_voldiff ProgramArguments: mri_voldiff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_watershed ProgramArguments: mri_watershed -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: tkregister2 ProgramArguments: tkregister2_cmdl -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 mri_motion_correct.fsl 7.1.1 mri_convert -all-info ProgramName: mri_convert ProgramArguments: mri_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:11-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: ikndnode-0-0.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 ####################################### GCADIR /share/apps/freesurfer_7.1/average GCA RB_all_2020-01-02.gca GCASkull RB_all_withskull_2020_01_02.gca AvgCurvTif folding.atlas.acfb40.noaparc.i12.2016-08-02.tif GCSDIR /share/apps/freesurfer_7.1/average GCS DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ####################################### /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01 mri_convert /mnt/twork/username/DELCODEM12/fs7/nii/81489f2bb-M12_T1_01/scans/dzne_MPRAGE_1iso_PAT2_s03.nii.gz /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig/001.mgz mri_convert /mnt/twork/username/DELCODEM12/fs7/nii/81489f2bb-M12_T1_01/scans/dzne_MPRAGE_1iso_PAT2_s03.nii.gz /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig/001.mgz reading from /mnt/twork/username/DELCODEM12/fs7/nii/81489f2bb-M12_T1_01/scans/dzne_MPRAGE_1iso_PAT2_s03.nii.gz... TR=2500.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (0, -1, 0) j_ras = (0, 0, -1) k_ras = (1, 0, 0) writing to /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig/001.mgz... Started at Di 27. Apr 16:44:10 CEST 2021 Ended at Di 27. Apr 16:44:16 CEST 2021 #@#%# recon-all-run-time-hours 0,002 recon-all -s 81489f2bb-M12_T1_01 finished without error at Di 27. Apr 16:44:16 CEST 2021 #New# invocation of recon-all Tue Apr 27 16:44:32 CEST 2021 cd /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01 setenv SUBJECTS_DIR /mnt/twork/username/DELCODEM12/fs7/fs /share/apps/freesurfer_7.1/bin/recon-all -sd /mnt/twork/username/DELCODEM12/fs7/fs -s 81489f2bb-M12_T1_01 -all -no-isrunning -notify zeeDunski1 subjid 81489f2bb-M12_T1_01 setenv SUBJECTS_DIR /mnt/twork/username/DELCODEM12/fs7/fs FREESURFER_HOME /share/apps/freesurfer_7.1 Actual FREESURFER_HOME /share/apps/freesurfer_7.1 build-stamp.txt: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 Linux compute-0-2.local 2.6.32-504.16.2.el6.x86_64 #1 SMP Wed Apr 22 06:48:29 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux cputime unlimited filesize unlimited datasize unlimited stacksize unlimited coredumpsize unlimited memoryuse unlimited vmemoryuse 10485760 kbytes descriptors 1024 memorylocked 64 kbytes maxproc 1549530 ######################################## program versions used 7.1.1 (freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551) 7.1.1 ProgramName: lta_convert ProgramArguments: lta_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_and ProgramArguments: mri_and -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_annotation2label ProgramArguments: mri_annotation2label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_aparc2aseg ProgramArguments: mri_aparc2aseg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surf2volseg ProgramArguments: mri_surf2volseg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_binarize ProgramArguments: mri_binarize -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_ca_label ProgramArguments: mri_ca_label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_ca_normalize ProgramArguments: mri_ca_normalize -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_ca_register ProgramArguments: mri_ca_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_cc ProgramArguments: mri_cc -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_compute_overlap ProgramArguments: mri_compute_overlap -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_compute_seg_overlap ProgramArguments: mri_compute_seg_overlap -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_concat ProgramArguments: mri_concat -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_concatenate_lta ProgramArguments: mri_concatenate_lta -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 mri_convert -all-info ProgramName: mri_convert ProgramArguments: mri_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_diff ProgramArguments: mri_diff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_edit_wm_with_aseg ProgramArguments: mri_edit_wm_with_aseg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_em_register ProgramArguments: mri_em_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_fill ProgramArguments: mri_fill -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_fuse_segmentations ProgramArguments: mri_fuse_segmentations -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_fwhm ProgramArguments: mri_fwhm -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_gcut ProgramArguments: mri_gcut -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_info ProgramArguments: mri_info -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_label2label ProgramArguments: mri_label2label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_label2vol ProgramArguments: mri_label2vol -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_log_likelihood ProgramArguments: mri_log_likelihood -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_mask ProgramArguments: mri_mask -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_matrix_multiply ProgramArguments: mri_matrix_multiply -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_normalize ProgramArguments: mri_normalize -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_normalize_tp2 ProgramArguments: mri_normalize_tp2 -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_or ProgramArguments: mri_or -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_relabel_hypointensities ProgramArguments: mri_relabel_hypointensities -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_relabel_nonwm_hypos ProgramArguments: mri_relabel_nonwm_hypos -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_remove_neck ProgramArguments: mri_remove_neck -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 7.1.1 ProgramName: mri_robust_register ProgramArguments: mri_robust_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 7.1.1 ProgramName: mri_robust_template ProgramArguments: mri_robust_template -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_anatomical_stats ProgramArguments: mris_anatomical_stats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_ca_label ProgramArguments: mris_ca_label -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_calc ProgramArguments: mris_calc -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_convert ProgramArguments: mris_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_curvature ProgramArguments: mris_curvature -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_curvature_stats ProgramArguments: mris_curvature_stats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_diff ProgramArguments: mris_diff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_divide_parcellation ProgramArguments: mris_divide_parcellation -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_segment ProgramArguments: mri_segment -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_segstats ProgramArguments: mri_segstats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_euler_number ProgramArguments: mris_euler_number -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_fix_topology ProgramArguments: mris_fix_topology -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_topo_fixer ProgramArguments: mris_topo_fixer -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_jacobian ProgramArguments: mris_jacobian -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_label2annot ProgramArguments: mris_label2annot -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_left_right_register ProgramArguments: mris_left_right_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_place_surface ProgramArguments: mris_place_surface -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mrisp_paint ProgramArguments: mrisp_paint -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_register ProgramArguments: mris_register -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_smooth ProgramArguments: mris_smooth -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_sphere ProgramArguments: mris_sphere -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_surface_stats ProgramArguments: mris_surface_stats -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_stats2seg ProgramArguments: mri_stats2seg -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_thickness ProgramArguments: mris_thickness -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_thickness_diff ProgramArguments: mris_thickness_diff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_topo_fixer ProgramArguments: mris_topo_fixer -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surf2surf ProgramArguments: mri_surf2surf -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surf2vol ProgramArguments: mri_surf2vol -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_surfcluster ProgramArguments: mri_surfcluster -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mris_volmask ProgramArguments: mris_volmask -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_tessellate ProgramArguments: mri_tessellate -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_vol2surf ProgramArguments: mri_vol2surf -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_vol2vol ProgramArguments: mri_vol2vol -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_voldiff ProgramArguments: mri_voldiff -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: mri_watershed ProgramArguments: mri_watershed -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 ProgramName: tkregister2 ProgramArguments: tkregister2_cmdl -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 mri_motion_correct.fsl 7.1.1 mri_convert -all-info ProgramName: mri_convert ProgramArguments: mri_convert -all-info ProgramVersion: 7.1.1 TimeStamp: 2021/04/27-14:44:32-GMT BuildTime: Jul 23 2020 13:43:33 BuildStamp: freesurfer-linux-centos6_x86_64-7.1.1-20200723-8b40551 User: username Machine: compute-0-2.local Platform: Linux PlatformVersion: 2.6.32-504.16.2.el6.x86_64 CompilerName: GCC CompilerVersion: 4.9.2 Program nu_correct, built from: Package MNI N3, version 1.12.0, compiled by nicks@terrier (x86_64-unknown-linux-gnu) on 2015-06-19 at 01:25:34 ####################################### GCADIR /share/apps/freesurfer_7.1/average GCA RB_all_2020-01-02.gca GCASkull RB_all_withskull_2020_01_02.gca AvgCurvTif folding.atlas.acfb40.noaparc.i12.2016-08-02.tif GCSDIR /share/apps/freesurfer_7.1/average GCS DKaparc.atlas.acfb40.noaparc.i12.2016-08-02.gcs ####################################### #-------------------------------------------- #@# MotionCor Tue Apr 27 16:44:32 CEST 2021 Found 1 runs /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig/001.mgz Checking for (invalid) multi-frame inputs... Only one run found so motion correction will not be performed. I'll copy the run to rawavg and continue. cp /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig/001.mgz /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/rawavg.mgz /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01 mri_convert /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/rawavg.mgz /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig.mgz --conform mri_convert /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/rawavg.mgz /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig.mgz --conform reading from /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/rawavg.mgz... TR=2500.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (0, -1, 0) j_ras = (0, 0, -1) k_ras = (1, 0, 0) changing data type from short to uchar (noscale = 0)... MRIchangeType: Building histogram 0 638 1000, flo=0, fhi=0.999, dest_type=0 Reslicing using trilinear interpolation writing to /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig.mgz... mri_add_xform_to_header -c /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/transforms/talairach.xfm /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig.mgz /mnt/twork/yakupovr/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/orig.mgz INFO: extension is mgz #-------------------------------------------- #@# Talairach Tue Apr 27 16:44:41 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_nu_correct.mni --no-rescale --i orig.mgz --o orig_nu.mgz --ants-n4 --n 1 --proto-iters 1000 --distance 50 /usr/bin/bc /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri /share/apps/freesurfer_7.1/bin/mri_nu_correct.mni --no-rescale --i orig.mgz --o orig_nu.mgz --ants-n4 --n 1 --proto-iters 1000 --distance 50 nIters 1 mri_nu_correct.mni 7.1.1 Linux compute-0-2.local 2.6.32-504.16.2.el6.x86_64 #1 SMP Wed Apr 22 06:48:29 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux Tue Apr 27 16:44:41 CEST 2021 Found /dev/shm , will use for temp dir tmpdir is /dev/shm/tmp.mri_nu_correct.mni.14111 cd /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri AntsN4BiasFieldCorrectionFs -i orig.mgz -o /dev/shm/tmp.mri_nu_correct.mni.14111/nu0.mgz Using shrink factor: 4 mri_convert /dev/shm/tmp.mri_nu_correct.mni.14111/nu0.mgz orig_nu.mgz --like orig.mgz --conform mri_convert /dev/shm/tmp.mri_nu_correct.mni.14111/nu0.mgz orig_nu.mgz --like orig.mgz --conform reading from /dev/shm/tmp.mri_nu_correct.mni.14111/nu0.mgz... TR=2500.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) INFO: transform src into the like-volume: orig.mgz writing to orig_nu.mgz... Tue Apr 27 16:47:27 CEST 2021 mri_nu_correct.mni done talairach_avi --i orig_nu.mgz --xfm transforms/talairach.auto.xfm talairach_avi log file is transforms/talairach_avi.log... Started at Tue Apr 27 16:47:27 CEST 2021 Ended at Tue Apr 27 16:47:48 CEST 2021 talairach_avi done cp transforms/talairach.auto.xfm transforms/talairach.xfm lta_convert --src orig.mgz --trg /share/apps/freesurfer_7.1/average/mni305.cor.mgz --inxfm transforms/talairach.xfm --outlta transforms/talairach.xfm.lta --subject fsaverage --ltavox2vox 7.1.1 --src: orig.mgz src image (geometry). --trg: /share/apps/freesurfer_7.1/average/mni305.cor.mgz trg image (geometry). --inmni: transforms/talairach.xfm input MNI/XFM transform. --outlta: transforms/talairach.xfm.lta output LTA. --s: fsaverage subject name --ltavox2vox: output LTA as VOX_TO_VOX transform. LTA read, type : 1 1.06144 0.07008 -0.05584 -0.44242; -0.07240 1.06893 0.35911 -27.57694; 0.12483 -0.48814 1.10978 -1.11435; 0.00000 0.00000 0.00000 1.00000; setting subject to fsaverage Writing LTA to file transforms/talairach.xfm.lta... lta_convert successful. #-------------------------------------------- #@# Talairach Failure Detection Tue Apr 27 16:47:51 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri talairach_afd -T 0.005 -xfm transforms/talairach.xfm talairach_afd: Talairach Transform: transforms/talairach.xfm OK (p=0.5668, pval=0.2115 >= threshold=0.0050) awk -f /share/apps/freesurfer_7.1/bin/extract_talairach_avi_QA.awk /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/transforms/talairach_avi.log tal_QC_AZS /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/transforms/talairach_avi.log TalAviQA: 0.95779 z-score: -4 #-------------------------------------------- #@# Nu Intensity Correction Tue Apr 27 16:47:51 CEST 2021 mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 --ants-n4 /usr/bin/bc /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri /share/apps/freesurfer_7.1/bin/mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 --ants-n4 nIters 2 mri_nu_correct.mni 7.1.1 Linux compute-0-2.local 2.6.32-504.16.2.el6.x86_64 #1 SMP Wed Apr 22 06:48:29 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux Tue Apr 27 16:47:51 CEST 2021 Found /dev/shm , will use for temp dir tmpdir is /dev/shm/tmp.mri_nu_correct.mni.14453 cd /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri AntsN4BiasFieldCorrectionFs -i orig.mgz -o /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz Using shrink factor: 4 mri_binarize --i /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz --min -1 --o /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz 7.1.1 cwd /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri cmdline mri_binarize --i /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz --min -1 --o /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz sysname Linux hostname compute-0-2.local machine x86_64 user username input /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz frame 0 nErode3d 0 nErode2d 0 output /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz Binarizing based on threshold min -1 max +infinity binval 1 binvalnot 0 fstart = 0, fend = 0, nframes = 1 Found 16777216 values in range Counting number of voxels in first frame Found 16777215 voxels in final mask Count: 16777215 16777215.000000 16777216 99.999994 mri_binarize done mri_segstats --id 1 --seg /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz --i orig.mgz --sum /dev/shm/tmp.mri_nu_correct.mni.14453/sum.junk --avgwf /dev/shm/tmp.mri_nu_correct.mni.14453/input.mean.dat 7.1.1 cwd cmdline mri_segstats --id 1 --seg /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz --i orig.mgz --sum /dev/shm/tmp.mri_nu_correct.mni.14453/sum.junk --avgwf /dev/shm/tmp.mri_nu_correct.mni.14453/input.mean.dat sysname Linux hostname compute-0-2.local machine x86_64 user username whitesurfname white UseRobust 0 Loading /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz Loading orig.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 1 segmentations Computing statistics for each segmentation Reporting on 1 segmentations Using PrintSegStat Computing spatial average of each frame 0 Writing to /dev/shm/tmp.mri_nu_correct.mni.14453/input.mean.dat mri_segstats done mri_segstats --id 1 --seg /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz --i /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz --sum /dev/shm/tmp.mri_nu_correct.mni.14453/sum.junk --avgwf /dev/shm/tmp.mri_nu_correct.mni.14453/output.mean.dat 7.1.1 cwd cmdline mri_segstats --id 1 --seg /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz --i /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz --sum /dev/shm/tmp.mri_nu_correct.mni.14453/sum.junk --avgwf /dev/shm/tmp.mri_nu_correct.mni.14453/output.mean.dat sysname Linux hostname compute-0-2.local machine x86_64 user username whitesurfname white UseRobust 0 Loading /dev/shm/tmp.mri_nu_correct.mni.14453/ones.mgz Loading /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz Voxel Volume is 1 mm^3 Generating list of segmentation ids Found 1 segmentations Computing statistics for each segmentation Reporting on 1 segmentations Using PrintSegStat Computing spatial average of each frame 0 Writing to /dev/shm/tmp.mri_nu_correct.mni.14453/output.mean.dat mri_segstats done mris_calc -o /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz mul 1.31572295142874242342 Saving result to '/dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz' (type = MGH ) [ ok ] mri_convert /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz nu.mgz --like orig.mgz mri_convert /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz nu.mgz --like orig.mgz reading from /dev/shm/tmp.mri_nu_correct.mni.14453/nu0.mgz... TR=2500.00, TE=0.00, TI=0.00, flip angle=0.00 i_ras = (-1, 0, 0) j_ras = (0, 0, -1) k_ras = (0, 1, 0) INFO: transform src into the like-volume: orig.mgz writing to nu.mgz... mri_make_uchar nu.mgz transforms/talairach.xfm nu.mgz type change took 0 minutes and 6 seconds. mapping (17, 168) to ( 3, 110) Tue Apr 27 16:51:04 CEST 2021 mri_nu_correct.mni done mri_add_xform_to_header -c /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/transforms/talairach.xfm nu.mgz nu.mgz INFO: extension is mgz #-------------------------------------------- #@# Intensity Normalization Tue Apr 27 16:51:05 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_normalize -g 1 -seed 1234 -mprage nu.mgz T1.mgz using max gradient = 1.000 setting seed for random number genererator to 1234 assuming input volume is MGH (Van der Kouwe) MP-RAGE reading mri_src from nu.mgz... normalizing image... talairach transform 1.06144 0.07008 -0.05584 -0.44242; -0.07240 1.06893 0.35911 -27.57694; 0.12483 -0.48814 1.10978 -1.11435; 0.00000 0.00000 0.00000 1.00000; processing without aseg, no1d=0 MRInormInit(): INFO: Modifying talairach volume c_(r,a,s) based on average_305 MRInormalize(): MRIsplineNormalize(): npeaks = 21 Starting OpenSpline(): npoints = 21 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Iterating 2 times --------------------------------- 3d normalization pass 1 of 2 white matter peak found at 110 white matter peak found at 89 gm peak at 60 (60), valley at 48 (48) csf peak at 30, setting threshold to 50 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 110 white matter peak found at 90 gm peak at 59 (59), valley at 47 (47) csf peak at 30, setting threshold to 49 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to T1.mgz 3D bias adjustment took 2 minutes and 0 seconds. #-------------------------------------------- #@# Skull Stripping Tue Apr 27 16:53:06 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_em_register -skull nu.mgz /share/apps/freesurfer_7.1/average/RB_all_withskull_2020_01_02.gca transforms/talairach_with_skull.lta aligning to atlas containing skull, setting unknown_nbr_spacing = 5 == Number of threads available to mri_em_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach_with_skull.log reading '/share/apps/freesurfer_7.1/average/RB_all_withskull_2020_01_02.gca'... GCAread took 0 minutes and 1 seconds. average std = 23.0 using min determinant for regularization = 52.8 0 singular and 9205 ill-conditioned covariance matrices regularized reading 'nu.mgz'... freeing gibbs priors...done. accounting for voxel sizes in initial transform bounding unknown intensity as < 8.9 or > 556.0 total sample mean = 77.3 (1403 zeros) ************************************************ spacing=8, using 3292 sample points, tol=1.00e-05... ************************************************ register_mri: find_optimal_transform find_optimal_transform: nsamples 3292, passno 0, spacing 8 resetting wm mean[0]: 100 --> 108 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=19.0 skull bounding box = (47, 12, 23) --> (207, 208, 230) finding center of left hemi white matter using (100, 77, 127) as brain centroid of Right_Cerebral_White_Matter... MRImask(): AllowDiffGeom = 1 mean wm in atlas = 108, using box (80,53,101) --> (119, 101,152) to find MRI wm before smoothing, mri peak at 108 robust fit to distribution - 92 +- 12.4 distribution too broad for accurate scaling - disabling after smoothing, mri peak at 108, scaling input intensities by 1.000 scaling channel 0 by 1 initial log_p = -4.762 ************************************************ First Search limited to translation only. ************************************************ max log p = -4.623251 @ (-10.526, 31.579, -10.526) max log p = -4.568892 @ (15.789, -5.263, 5.263) max log p = -4.497136 @ (-2.632, 7.895, -7.895) max log p = -4.472489 @ (-3.947, 1.316, 6.579) max log p = -4.447610 @ (-0.658, -0.658, -4.605) max log p = -4.447610 @ (0.000, 0.000, 0.000) max log p = -4.447610 @ (0.000, 0.000, 0.000) max log p = -4.447610 @ (0.000, 0.000, 0.000) Found translation: (-2.0, 34.9, -11.2): log p = -4.448 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-4.323, old_max_log_p =-4.448 (thresh=-4.4) 1.07500 0.00000 0.00000 -11.50441; 0.00000 1.19413 0.31997 -17.59821; 0.00000 -0.25882 0.96593 20.74102; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 34 seconds. **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-4.323, old_max_log_p =-4.323 (thresh=-4.3) 1.07500 0.00000 0.00000 -11.50441; 0.00000 1.19413 0.31997 -17.59821; 0.00000 -0.25882 0.96593 20.74102; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.2500 iteration took 1 minutes and 34 seconds. **************************************** Nine parameter search. iteration 2 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-4.242, old_max_log_p =-4.323 (thresh=-4.3) 1.07040 -0.05487 -0.08655 5.09697; 0.07016 1.17357 0.37760 -31.39066; 0.07163 -0.34194 0.95855 20.95605; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 33 seconds. **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-4.242, old_max_log_p =-4.242 (thresh=-4.2) 1.07040 -0.05487 -0.08655 5.09697; 0.07016 1.17357 0.37760 -31.39066; 0.07163 -0.34194 0.95855 20.95605; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.0625 iteration took 1 minutes and 33 seconds. **************************************** Nine parameter search. iteration 4 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-4.229, old_max_log_p =-4.242 (thresh=-4.2) 1.07142 -0.06051 -0.07106 3.19944; 0.07016 1.18035 0.37129 -30.84696; 0.05495 -0.33287 0.96618 20.76627; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 33 seconds. **************************************** Nine parameter search. iteration 5 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-4.218, old_max_log_p =-4.229 (thresh=-4.2) 1.07322 -0.03407 -0.05430 -1.25028; 0.04334 1.18279 0.36453 -25.91941; 0.04702 -0.32360 0.97196 20.60360; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 33 seconds. **************************************** Nine parameter search. iteration 6 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-4.217, old_max_log_p =-4.218 (thresh=-4.2) 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; min search scale 0.025000 reached *********************************************** Computing MAP estimate using 3292 samples... *********************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; nsamples 3292 Quasinewton: input matrix 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; IFLAG= -1 LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 4 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 009: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -4.217 (old=-4.762) transform before final EM align: 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; ************************************************** EM alignment process ... Computing final MAP estimate using 364986 samples. ************************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; nsamples 364986 Quasinewton: input matrix 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; IFLAG= -1 LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 6 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 011: -log(p) = 4.5 tol 0.000000 final transform: 1.07322 -0.03407 -0.05430 -1.25028; 0.04339 1.18418 0.36496 -26.11586; 0.04691 -0.32284 0.96968 20.81586; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach_with_skull.lta... #VMPC# mri_em_register VmPeak 896956 FSRUNTIME@ mri_em_register 0.2025 hours 1 threads registration took 12 minutes and 9 seconds. mri_watershed -T1 -brain_atlas /share/apps/freesurfer_7.1/average/RB_all_withskull_2020_01_02.gca transforms/talairach_with_skull.lta T1.mgz brainmask.auto.mgz Mode: T1 normalized volume Mode: Use the information of atlas (default parms, --help for details) ********************************************************* The input file is T1.mgz The output file is brainmask.auto.mgz Weighting the input with atlas information before watershed *************************WATERSHED************************** Sorting... first estimation of the COG coord: x=126 y=91 z=109 r=84 first estimation of the main basin volume: 2533628 voxels Looking for seedpoints 2 found in the cerebellum 17 found in the rest of the brain global maximum in x=151, y=52, z=104, Imax=255 CSF=14, WM_intensity=110, WM_VARIANCE=5 WM_MIN=110, WM_HALF_MIN=110, WM_HALF_MAX=110, WM_MAX=110 preflooding height equal to 10 percent done. Analyze... main basin size=8968483105 voxels, voxel volume =1.000 = 8968483105 mmm3 = 8968482.816 cm3 done. PostAnalyze...Basin Prior 263 basins merged thanks to atlas ***** 0 basin(s) merged in 1 iteration(s) ***** 0 voxel(s) added to the main basin done. Weighting the input with prior template ****************TEMPLATE DEFORMATION**************** second estimation of the COG coord: x=126,y=87, z=111, r=9461 iterations ^^^^^^^^ couldn't find WM with original limits - expanding ^^^^^^ GLOBAL CSF_MIN=1, CSF_intensity=2, CSF_MAX=4 , nb = 45774 RIGHT_CER CSF_MIN=1, CSF_intensity=2, CSF_MAX=5 , nb = 3366 LEFT_CER CSF_MIN=1, CSF_intensity=2, CSF_MAX=5 , nb = 2754 RIGHT_BRAIN CSF_MIN=1, CSF_intensity=2, CSF_MAX=4 , nb = 19602 LEFT_BRAIN CSF_MIN=1, CSF_intensity=2, CSF_MAX=4 , nb = 19584 OTHER CSF_MIN=0, CSF_intensity=9, CSF_MAX=29 , nb = 468 CSF_MAX TRANSITION GM_MIN GM GLOBAL before analyzing : 4, 7, 55, 81 after analyzing : 4, 39, 55, 49 RIGHT_CER before analyzing : 5, 9, 56, 86 after analyzing : 5, 40, 56, 51 LEFT_CER before analyzing : 5, 10, 57, 84 after analyzing : 5, 41, 57, 51 RIGHT_BRAIN before analyzing : 4, 7, 55, 81 after analyzing : 4, 39, 55, 49 LEFT_BRAIN before analyzing : 4, 8, 56, 79 after analyzing : 4, 40, 56, 49 OTHER before analyzing : 29, 44, 67, 95 after analyzing : 29, 59, 67, 68 mri_strip_skull: done peeling brain highly tesselated surface with 10242 vertices matching...76 iterations *********************VALIDATION********************* curvature mean = -0.013, std = 0.013 curvature mean = 66.069, std = 8.862 No Rigid alignment: -atlas Mode Off (basic atlas / no registration) before rotation: sse = 3.45, sigma = 5.71 after rotation: sse = 3.45, sigma = 5.71 Localization of inacurate regions: Erosion-Dilation steps the sse mean is 3.85, its var is 5.66 before Erosion-Dilatation 1.40% of inacurate vertices after Erosion-Dilatation 0.00% of inacurate vertices Validation of the shape of the surface done. Scaling of atlas fields onto current surface fields ********FINAL ITERATIVE TEMPLATE DEFORMATION******** Compute Local values csf/gray Fine Segmentation...48 iterations mri_strip_skull: done peeling brain Brain Size = 1484318 voxels, voxel volume = 1.000 mm3 = 1484318 mmm3 = 1484.318 cm3 MRImask(): AllowDiffGeom = 1 ****************************** Saving brainmask.auto.mgz done mri_watershed utimesec 15.699613 mri_watershed stimesec 0.390940 mri_watershed ru_maxrss 811304 mri_watershed ru_ixrss 0 mri_watershed ru_idrss 0 mri_watershed ru_isrss 0 mri_watershed ru_minflt 187915 mri_watershed ru_majflt 0 mri_watershed ru_nswap 0 mri_watershed ru_inblock 0 mri_watershed ru_oublock 2488 mri_watershed ru_msgsnd 0 mri_watershed ru_msgrcv 0 mri_watershed ru_nsignals 0 mri_watershed ru_nvcsw 146 mri_watershed ru_nivcsw 1643 mri_watershed done cp brainmask.auto.mgz brainmask.mgz #------------------------------------- #@# EM Registration Tue Apr 27 17:05:32 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_em_register -uns 3 -mask brainmask.mgz nu.mgz /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca transforms/talairach.lta setting unknown_nbr_spacing = 3 using MR volume brainmask.mgz to mask input volume... == Number of threads available to mri_em_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach.log reading '/share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca'... GCAread took 0 minutes and 1 seconds. average std = 7.2 using min determinant for regularization = 5.2 0 singular and 884 ill-conditioned covariance matrices regularized reading 'nu.mgz'... MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 freeing gibbs priors...done. accounting for voxel sizes in initial transform bounding unknown intensity as < 5.9 or > 519.0 total sample mean = 79.1 (1017 zeros) ************************************************ spacing=8, using 2841 sample points, tol=1.00e-05... ************************************************ register_mri: find_optimal_transform find_optimal_transform: nsamples 2841, passno 0, spacing 8 resetting wm mean[0]: 98 --> 107 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=17.0 skull bounding box = (61, 26, 38) --> (191, 156, 198) finding center of left hemi white matter using (104, 69, 118) as brain centroid of Right_Cerebral_White_Matter... MRImask(): AllowDiffGeom = 1 mean wm in atlas = 107, using box (88,53,98) --> (119, 84,137) to find MRI wm before smoothing, mri peak at 108 robust fit to distribution - 92 +- 12.3 distribution too broad for accurate scaling - disabling after smoothing, mri peak at 107, scaling input intensities by 1.000 scaling channel 0 by 1 initial log_p = -4.675 ************************************************ First Search limited to translation only. ************************************************ max log p = -4.224223 @ (-10.526, 31.579, -10.526) max log p = -4.115653 @ (15.789, 5.263, 5.263) max log p = -4.032307 @ (-2.632, -2.632, -7.895) max log p = -4.007051 @ (-3.947, 1.316, 6.579) max log p = -3.995758 @ (3.289, -0.658, -1.974) max log p = -3.988521 @ (-2.303, 0.987, 0.329) max log p = -3.988521 @ (0.000, 0.000, 0.000) max log p = -3.988521 @ (0.000, 0.000, 0.000) Found translation: (-0.3, 35.9, -8.2): log p = -3.989 **************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.897, old_max_log_p =-3.989 (thresh=-4.0) 1.05465 -0.12889 -0.05085 9.25629; 0.13885 0.97902 0.38625 -23.94135; 0.00000 -0.37148 0.84990 47.32829; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 21 seconds. **************************************** Nine parameter search. iteration 1 nscales = 0 ... **************************************** Result so far: scale 1.000: max_log_p=-3.897, old_max_log_p =-3.897 (thresh=-3.9) 1.05465 -0.12889 -0.05085 9.25629; 0.13885 0.97902 0.38625 -23.94135; 0.00000 -0.37148 0.84990 47.32829; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.2500 iteration took 1 minutes and 22 seconds. **************************************** Nine parameter search. iteration 2 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.846, old_max_log_p =-3.897 (thresh=-3.9) 1.04039 -0.01291 -0.07618 5.84662; 0.03473 1.07714 0.31985 -10.12899; 0.08044 -0.28822 0.93164 19.29974; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 21 seconds. **************************************** Nine parameter search. iteration 3 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.826, old_max_log_p =-3.846 (thresh=-3.8) 1.01939 -0.04777 -0.08300 10.26844; 0.06224 1.07219 0.25081 -3.84695; 0.08408 -0.22122 0.96838 9.24969; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 21 seconds. **************************************** Nine parameter search. iteration 4 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.817, old_max_log_p =-3.826 (thresh=-3.8) 1.00028 -0.04688 -0.08144 12.45344; 0.06224 1.07219 0.25081 -3.84695; 0.08408 -0.22122 0.96838 9.24969; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 22 seconds. **************************************** Nine parameter search. iteration 5 nscales = 1 ... **************************************** Result so far: scale 0.250: max_log_p=-3.817, old_max_log_p =-3.817 (thresh=-3.8) 1.00028 -0.04688 -0.08144 12.45344; 0.06224 1.07219 0.25081 -3.84695; 0.08408 -0.22122 0.96838 9.24969; 0.00000 0.00000 0.00000 1.00000; reducing scale to 0.0625 iteration took 1 minutes and 21 seconds. **************************************** Nine parameter search. iteration 6 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.801, old_max_log_p =-3.817 (thresh=-3.8) 1.00262 -0.04699 -0.08163 11.71669; 0.06216 1.07093 0.25052 -3.70265; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; iteration took 1 minutes and 21 seconds. **************************************** Nine parameter search. iteration 7 nscales = 2 ... **************************************** Result so far: scale 0.062: max_log_p=-3.800, old_max_log_p =-3.801 (thresh=-3.8) 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; min search scale 0.025000 reached *********************************************** Computing MAP estimate using 2841 samples... *********************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; nsamples 2841 Quasinewton: input matrix 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; IFLAG= -1 LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 010: -log(p) = -0.0 tol 0.000010 Resulting transform: 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; pass 1, spacing 8: log(p) = -3.800 (old=-4.675) transform before final EM align: 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; ************************************************** EM alignment process ... Computing final MAP estimate using 315638 samples. ************************************************** dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; nsamples 315638 Quasinewton: input matrix 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; IFLAG= -1 LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 6 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 012: -log(p) = 4.2 tol 0.000000 final transform: 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; writing output transformation to transforms/talairach.lta... #VMPC# mri_em_register VmPeak 884396 FSRUNTIME@ mri_em_register 0.1969 hours 1 threads registration took 11 minutes and 49 seconds. #-------------------------------------- #@# CA Normalize Tue Apr 27 17:17:21 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_ca_normalize -c ctrl_pts.mgz -mask brainmask.mgz nu.mgz /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca transforms/talairach.lta norm.mgz writing control point volume to ctrl_pts.mgz using MR volume brainmask.mgz to mask input volume... reading 1 input volume reading atlas from '/share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca'... reading transform from 'transforms/talairach.lta'... reading input volume from nu.mgz... MRImask(): AllowDiffGeom = 1 resetting wm mean[0]: 98 --> 107 resetting gm mean[0]: 61 --> 61 input volume #1 is the most T1-like using real data threshold=14.0 skull bounding box = (61, 25, 38) --> (191, 157, 198) finding center of left hemi white matter using (104, 69, 118) as brain centroid of Right_Cerebral_White_Matter... MRImask(): AllowDiffGeom = 1 mean wm in atlas = 107, using box (88,53,98) --> (119, 85,137) to find MRI wm before smoothing, mri peak at 108 robust fit to distribution - 92 +- 12.8 distribution too broad for accurate scaling - disabling after smoothing, mri peak at 107, scaling input intensities by 1.000 scaling channel 0 by 1 using 246437 sample points... INFO: compute sample coordinates transform 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41438; 0.08438 -0.22200 0.97179 8.91133; 0.00000 0.00000 0.00000 1.00000; INFO: transform used finding control points in Left_Cerebral_White_Matter.... found 40230 control points for structure... bounding box (122, 21, 30) --> (193, 128, 194) Left_Cerebral_White_Matter: limiting intensities to 97.0 --> 132.0 0 of 68 (0.0%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39478 control points for structure... bounding box (61, 22, 32) --> (131, 127, 198) Right_Cerebral_White_Matter: limiting intensities to 95.0 --> 132.0 1 of 91 (1.1%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3105 control points for structure... bounding box (127, 102, 57) --> (177, 144, 111) Left_Cerebellum_White_Matter: limiting intensities to 114.0 --> 132.0 5 of 7 (71.4%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2710 control points for structure... bounding box (84, 102, 58) --> (127, 145, 115) Right_Cerebellum_White_Matter: limiting intensities to 115.0 --> 132.0 9 of 14 (64.3%) samples deleted finding control points in Brain_Stem.... found 3475 control points for structure... bounding box (112, 93, 95) --> (147, 156, 125) Brain_Stem: limiting intensities to 108.0 --> 132.0 1 of 8 (12.5%) samples deleted using 188 total control points for intensity normalization... bias field = 0.913 +- 0.095 0 of 172 control points discarded finding control points in Left_Cerebral_White_Matter.... found 40230 control points for structure... bounding box (122, 21, 30) --> (193, 128, 194) Left_Cerebral_White_Matter: limiting intensities to 88.0 --> 130.0 12 of 145 (8.3%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39478 control points for structure... bounding box (61, 22, 32) --> (131, 127, 198) Right_Cerebral_White_Matter: limiting intensities to 106.0 --> 130.0 161 of 199 (80.9%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3105 control points for structure... bounding box (127, 102, 57) --> (177, 144, 111) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 130.0 15 of 52 (28.8%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2710 control points for structure... bounding box (84, 102, 58) --> (127, 145, 115) Right_Cerebellum_White_Matter: limiting intensities to 94.0 --> 130.0 30 of 42 (71.4%) samples deleted finding control points in Brain_Stem.... found 3475 control points for structure... bounding box (112, 93, 95) --> (147, 156, 125) Brain_Stem: limiting intensities to 88.0 --> 130.0 47 of 98 (48.0%) samples deleted using 536 total control points for intensity normalization... bias field = 0.962 +- 0.088 0 of 269 control points discarded finding control points in Left_Cerebral_White_Matter.... found 40230 control points for structure... bounding box (122, 21, 30) --> (193, 128, 194) Left_Cerebral_White_Matter: limiting intensities to 88.0 --> 127.0 9 of 234 (3.8%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 39478 control points for structure... bounding box (61, 22, 32) --> (131, 127, 198) Right_Cerebral_White_Matter: limiting intensities to 88.0 --> 127.0 23 of 299 (7.7%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3105 control points for structure... bounding box (127, 102, 57) --> (177, 144, 111) Left_Cerebellum_White_Matter: limiting intensities to 88.0 --> 127.0 22 of 86 (25.6%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2710 control points for structure... bounding box (84, 102, 58) --> (127, 145, 115) Right_Cerebellum_White_Matter: limiting intensities to 88.0 --> 127.0 66 of 84 (78.6%) samples deleted finding control points in Brain_Stem.... found 3475 control points for structure... bounding box (112, 93, 95) --> (147, 156, 125) Brain_Stem: limiting intensities to 88.0 --> 127.0 130 of 204 (63.7%) samples deleted using 907 total control points for intensity normalization... bias field = 1.016 +- 0.075 0 of 650 control points discarded writing normalized volume to norm.mgz... writing control points to ctrl_pts.mgz freeing GCA...done. normalization took 1 minutes and 17 seconds. #-------------------------------------- #@# CA Reg Tue Apr 27 17:18:38 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_ca_register -nobigventricles -T transforms/talairach.lta -align-after -mask brainmask.mgz norm.mgz /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca transforms/talairach.m3z not handling expanded ventricles... using previously computed transform transforms/talairach.lta renormalizing sequences with structure alignment, equivalent to: -renormalize -regularize_mean 0.500 -regularize 0.500 using MR volume brainmask.mgz to mask input volume... == Number of threads available to mri_ca_register for OpenMP = 1 == reading 1 input volumes... logging results to talairach.log reading input volume 'norm.mgz'... MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 MRImask(): AllowDiffGeom = 1 reading GCA '/share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca'... label assignment complete, 0 changed (0.00%) freeing gibbs priors...done. average std[0] = 5.0 Starting GCAMregister() label assignment complete, 0 changed (0.00%) npasses = 1, nlevels = 6 #pass# 1 of 1 ************************ enabling zero nodes setting smoothness cost coefficient to 0.156 #GCAMreg# pass 0 level1 5 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.16 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 1.09628 #FOTS# QuadFit found better minimum quadopt=(dt=256.093,rms=0.899239) vs oldopt=(dt=369.92,rms=0.926686) #GCMRL# 0 dt 256.093431 rms 0.899 17.974% neg 0 invalid 762 tFOTS 15.3670 tGradient 6.4610 tsec 22.9840 #FOTS# QuadFit found better minimum quadopt=(dt=332.01,rms=0.833375) vs oldopt=(dt=369.92,rms=0.83434) #GCMRL# 1 dt 332.010047 rms 0.833 7.324% neg 0 invalid 762 tFOTS 15.4050 tGradient 6.9070 tsec 23.4680 #FOTS# QuadFit found better minimum quadopt=(dt=214.435,rms=0.809356) vs oldopt=(dt=92.48,rms=0.817712) #GCMRL# 2 dt 214.435424 rms 0.809 2.882% neg 0 invalid 762 tFOTS 16.3980 tGradient 6.5190 tsec 24.0710 #FOTS# QuadFit found better minimum quadopt=(dt=224.541,rms=0.799187) vs oldopt=(dt=369.92,rms=0.802753) #GCMRL# 3 dt 224.540962 rms 0.799 1.256% neg 0 invalid 762 tFOTS 16.3860 tGradient 6.4020 tsec 23.9380 #FOTS# QuadFit found better minimum quadopt=(dt=295.936,rms=0.78999) vs oldopt=(dt=369.92,rms=0.791144) #GCMRL# 4 dt 295.936000 rms 0.790 1.151% neg 0 invalid 762 tFOTS 15.3950 tGradient 6.4930 tsec 23.0450 #FOTS# QuadFit found better minimum quadopt=(dt=131.22,rms=0.784547) vs oldopt=(dt=92.48,rms=0.785238) #GCMRL# 5 dt 131.220126 rms 0.785 0.689% neg 0 invalid 762 tFOTS 16.3600 tGradient 6.4630 tsec 23.9840 #FOTS# QuadFit found better minimum quadopt=(dt=887.808,rms=0.773958) vs oldopt=(dt=1479.68,rms=0.777093) #GCMRL# 6 dt 887.808000 rms 0.774 1.350% neg 0 invalid 762 tFOTS 15.4140 tGradient 6.3540 tsec 22.9220 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.768854) vs oldopt=(dt=92.48,rms=0.76919) #GCMRL# 7 dt 129.472000 rms 0.769 0.659% neg 0 invalid 762 tFOTS 16.3850 tGradient 6.3480 tsec 23.8980 #GCMRL# 8 dt 369.920000 rms 0.767 0.000% neg 0 invalid 762 tFOTS 16.4350 tGradient 6.2810 tsec 23.9070 #GCAMreg# pass 0 level1 5 level2 1 tsec 225.122 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.16 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.768107 #FOTS# QuadFit found better minimum quadopt=(dt=140.235,rms=0.763915) vs oldopt=(dt=92.48,rms=0.764548) #GCMRL# 10 dt 140.235294 rms 0.764 0.546% neg 0 invalid 762 tFOTS 17.3740 tGradient 6.3120 tsec 24.8470 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.761849) vs oldopt=(dt=369.92,rms=0.762083) #GCMRL# 11 dt 517.888000 rms 0.762 0.271% neg 0 invalid 762 tFOTS 16.4130 tGradient 6.2670 tsec 23.8390 #FOTS# QuadFit found better minimum quadopt=(dt=295.936,rms=0.76094) vs oldopt=(dt=369.92,rms=0.760974) #GCMRL# 12 dt 295.936000 rms 0.761 0.000% neg 0 invalid 762 tFOTS 16.4040 tGradient 6.3630 tsec 23.9590 #GCMRL# 13 dt 295.936000 rms 0.760 0.131% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2380 tsec 7.3970 #GCMRL# 14 dt 295.936000 rms 0.759 0.182% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1970 tsec 7.3600 #GCMRL# 15 dt 295.936000 rms 0.757 0.227% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2380 tsec 7.3970 #GCMRL# 16 dt 295.936000 rms 0.755 0.254% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3620 tsec 7.5260 #GCMRL# 17 dt 295.936000 rms 0.753 0.289% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3890 tsec 7.5460 #GCMRL# 18 dt 295.936000 rms 0.751 0.272% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3980 tsec 7.5630 #GCMRL# 19 dt 295.936000 rms 0.749 0.234% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3060 tsec 7.4690 #GCMRL# 20 dt 295.936000 rms 0.747 0.246% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2320 tsec 7.3980 #GCMRL# 21 dt 295.936000 rms 0.745 0.290% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2790 tsec 7.4400 #GCMRL# 22 dt 295.936000 rms 0.743 0.226% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2680 tsec 7.4300 #GCMRL# 23 dt 295.936000 rms 0.742 0.169% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2860 tsec 7.4490 #GCMRL# 24 dt 295.936000 rms 0.741 0.162% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2420 tsec 7.4010 #GCMRL# 25 dt 295.936000 rms 0.739 0.180% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3210 tsec 7.4830 #GCMRL# 26 dt 295.936000 rms 0.738 0.157% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2830 tsec 7.4460 #GCMRL# 27 dt 295.936000 rms 0.737 0.114% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3580 tsec 7.5250 #GCMRL# 28 dt 295.936000 rms 0.736 0.141% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4050 tsec 7.5610 #GCMRL# 29 dt 295.936000 rms 0.735 0.129% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3850 tsec 7.5400 #GCMRL# 30 dt 295.936000 rms 0.735 0.079% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4350 tsec 7.6050 #GCMRL# 31 dt 295.936000 rms 0.735 0.039% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4200 tsec 7.6170 #FOTS# QuadFit found better minimum quadopt=(dt=443.904,rms=0.73424) vs oldopt=(dt=369.92,rms=0.734257) #GCMRL# 32 dt 443.904000 rms 0.734 0.049% neg 0 invalid 762 tFOTS 17.4290 tGradient 6.3080 tsec 24.9040 #FOTS# QuadFit found better minimum quadopt=(dt=32.368,rms=0.734202) vs oldopt=(dt=23.12,rms=0.734203) #GCMRL# 33 dt 32.368000 rms 0.734 0.000% neg 0 invalid 762 tFOTS 18.3600 tGradient 6.3810 tsec 25.9370 setting smoothness cost coefficient to 0.615 #GCAMreg# pass 0 level1 4 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.62 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.754097 #FOTS# QuadFit found better minimum quadopt=(dt=9.072,rms=0.753218) vs oldopt=(dt=6.48,rms=0.753248) #GCMRL# 35 dt 9.072000 rms 0.753 0.117% neg 0 invalid 762 tFOTS 16.4210 tGradient 5.0250 tsec 22.6040 #FOTS# QuadFit found better minimum quadopt=(dt=5.184,rms=0.75319) vs oldopt=(dt=6.48,rms=0.753193) #GCMRL# 36 dt 5.184000 rms 0.753 0.000% neg 0 invalid 762 tFOTS 16.4340 tGradient 4.9890 tsec 22.6170 #GCAMreg# pass 0 level1 4 level2 1 tsec 56.755 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.62 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.753848 #GCMRL# 38 dt 0.006328 rms 0.753 0.087% neg 0 invalid 762 tFOTS 16.4230 tGradient 4.9910 tsec 22.5750 setting smoothness cost coefficient to 2.353 #GCAMreg# pass 0 level1 3 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=2.35 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.819495 #FOTS# QuadFit found better minimum quadopt=(dt=15.7838,rms=0.799718) vs oldopt=(dt=8,rms=0.804108) #GCMRL# 40 dt 15.783784 rms 0.800 2.413% neg 0 invalid 762 tFOTS 15.4640 tGradient 4.3060 tsec 20.9280 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.797) vs oldopt=(dt=8,rms=0.797494) #GCMRL# 41 dt 11.200000 rms 0.797 0.340% neg 0 invalid 762 tFOTS 16.4230 tGradient 4.3640 tsec 21.9430 #FOTS# QuadFit found better minimum quadopt=(dt=6.4,rms=0.796768) vs oldopt=(dt=8,rms=0.796768) #GCMRL# 42 dt 6.400000 rms 0.797 0.000% neg 0 invalid 762 tFOTS 16.4260 tGradient 4.3270 tsec 21.9430 #GCAMreg# pass 0 level1 3 level2 1 tsec 75.688 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=2.35 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.797459 #GCMRL# 44 dt 0.000000 rms 0.797 0.087% neg 0 invalid 762 tFOTS 15.4640 tGradient 4.3040 tsec 20.9330 setting smoothness cost coefficient to 8.000 #GCAMreg# pass 0 level1 2 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=8.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.898378 #FOTS# QuadFit found better minimum quadopt=(dt=1.1,rms=0.896312) vs oldopt=(dt=0.72,rms=0.896491) #GCMRL# 46 dt 1.100000 rms 0.896 0.230% neg 0 invalid 762 tFOTS 15.4630 tGradient 3.9780 tsec 20.5990 #FOTS# QuadFit found better minimum quadopt=(dt=1.05263,rms=0.895742) vs oldopt=(dt=0.72,rms=0.895798) #GCMRL# 47 dt 1.052632 rms 0.896 0.000% neg 0 invalid 762 tFOTS 15.4320 tGradient 4.0160 tsec 20.6360 #GCMRL# 48 dt 1.052632 rms 0.895 0.045% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9930 tsec 5.1500 #GCAMreg# pass 0 level1 2 level2 1 tsec 56.967 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=8.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.895965 #GCMRL# 50 dt 0.180000 rms 0.895 0.071% neg 0 invalid 762 tFOTS 15.4390 tGradient 4.0080 tsec 20.6160 #FOTS# QuadFit found better minimum quadopt=(dt=0.144,rms=0.895324) vs oldopt=(dt=0.18,rms=0.895324) #GCMRL# 51 dt 0.144000 rms 0.895 0.000% neg 0 invalid 762 tFOTS 15.4340 tGradient 4.0490 tsec 20.6720 #GCMRL# 52 dt 0.144000 rms 0.895 0.001% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0030 tsec 5.1610 setting smoothness cost coefficient to 20.000 #GCAMreg# pass 0 level1 1 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=20.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 1.04241 #FOTS# QuadFit found better minimum quadopt=(dt=0.505319,rms=1.03758) vs oldopt=(dt=0.32,rms=1.03858) #GCMRL# 54 dt 0.505319 rms 1.038 0.463% neg 0 invalid 762 tFOTS 15.4690 tGradient 3.8490 tsec 20.4810 #FOTS# QuadFit found better minimum quadopt=(dt=0.619048,rms=1.02978) vs oldopt=(dt=0.32,rms=1.03223) #GCMRL# 55 dt 0.619048 rms 1.030 0.752% neg 0 invalid 762 tFOTS 15.4680 tGradient 3.8380 tsec 20.4690 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=1.02699) vs oldopt=(dt=0.32,rms=1.02699) #GCMRL# 56 dt 0.256000 rms 1.027 0.272% neg 0 invalid 762 tFOTS 15.5110 tGradient 3.8830 tsec 20.5520 #FOTS# QuadFit found better minimum quadopt=(dt=1.024,rms=1.0205) vs oldopt=(dt=1.28,rms=1.02081) #GCMRL# 57 dt 1.024000 rms 1.021 0.631% neg 0 invalid 762 tFOTS 15.4540 tGradient 3.8770 tsec 20.4930 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=1.0166) vs oldopt=(dt=0.32,rms=1.01675) #GCMRL# 58 dt 0.256000 rms 1.017 0.383% neg 0 invalid 762 tFOTS 15.4020 tGradient 3.9590 tsec 20.5160 #FOTS# QuadFit found better minimum quadopt=(dt=0.448,rms=1.01328) vs oldopt=(dt=0.32,rms=1.01383) #GCMRL# 59 dt 0.448000 rms 1.013 0.326% neg 0 invalid 762 tFOTS 15.3750 tGradient 3.8910 tsec 20.4230 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=1.0116) vs oldopt=(dt=0.32,rms=1.0116) #GCMRL# 60 dt 0.256000 rms 1.012 0.000% neg 0 invalid 762 tFOTS 15.3920 tGradient 3.8660 tsec 20.4370 #GCMRL# 61 dt 0.256000 rms 1.010 0.176% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8560 tsec 5.0080 #GCMRL# 62 dt 0.256000 rms 1.007 0.255% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8230 tsec 4.9730 #GCMRL# 63 dt 0.256000 rms 1.004 0.333% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8570 tsec 5.0080 #GCMRL# 64 dt 0.256000 rms 1.001 0.321% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7270 tsec 4.8780 #GCMRL# 65 dt 0.256000 rms 0.997 0.341% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7900 tsec 4.9430 #GCMRL# 66 dt 0.256000 rms 0.995 0.270% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7560 tsec 4.9080 #GCMRL# 67 dt 0.256000 rms 0.993 0.203% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8200 tsec 4.9730 #GCMRL# 68 dt 0.256000 rms 0.991 0.120% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7830 tsec 4.9360 #GCMRL# 69 dt 0.256000 rms 0.991 0.070% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7970 tsec 4.9780 #FOTS# QuadFit found better minimum quadopt=(dt=0.448,rms=0.989719) vs oldopt=(dt=0.32,rms=0.989895) #GCMRL# 70 dt 0.448000 rms 0.990 0.096% neg 0 invalid 762 tFOTS 15.3540 tGradient 3.9170 tsec 20.4230 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=0.989216) vs oldopt=(dt=0.32,rms=0.989224) #GCMRL# 71 dt 0.256000 rms 0.989 0.000% neg 0 invalid 762 tFOTS 15.3630 tGradient 3.7660 tsec 20.3090 #GCMRL# 72 dt 0.256000 rms 0.989 0.055% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8270 tsec 4.9750 #GCMRL# 73 dt 0.256000 rms 0.988 0.080% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7930 tsec 4.9440 #GCMRL# 74 dt 0.256000 rms 0.987 0.109% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7570 tsec 4.9050 #GCMRL# 75 dt 0.256000 rms 0.986 0.111% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8010 tsec 4.9540 #GCMRL# 76 dt 0.256000 rms 0.984 0.128% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9490 tsec 5.1020 #GCMRL# 77 dt 0.256000 rms 0.983 0.113% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8210 tsec 4.9730 #GCMRL# 78 dt 0.256000 rms 0.982 0.101% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9770 tsec 5.1590 #GCMRL# 79 dt 0.320000 rms 0.982 0.000% neg 0 invalid 762 tFOTS 15.4590 tGradient 3.9000 tsec 20.5480 #GCMRL# 80 dt 0.320000 rms 0.982 0.013% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9190 tsec 5.0810 #GCMRL# 81 dt 0.320000 rms 0.982 0.019% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9470 tsec 5.1070 #GCMRL# 82 dt 0.320000 rms 0.982 0.023% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9990 tsec 5.1600 #GCMRL# 83 dt 0.320000 rms 0.981 0.028% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8650 tsec 5.0270 #GCMRL# 84 dt 0.320000 rms 0.981 0.035% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8100 tsec 4.9760 #GCMRL# 85 dt 0.320000 rms 0.981 0.037% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8880 tsec 5.0530 #GCMRL# 86 dt 0.320000 rms 0.980 0.033% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.8850 tsec 5.0470 #GCMRL# 87 dt 0.320000 rms 0.980 0.036% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9450 tsec 5.1080 #GCAMreg# pass 0 level1 1 level2 1 tsec 334.254 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=20.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.980435 #GCMRL# 89 dt 0.320000 rms 0.980 0.089% neg 0 invalid 762 tFOTS 15.4760 tGradient 3.8200 tsec 20.4500 #GCMRL# 90 dt 0.100000 rms 0.980 0.000% neg 0 invalid 762 tFOTS 14.4810 tGradient 3.7700 tsec 19.4360 resetting metric properties... setting smoothness cost coefficient to 40.000 #GCAMreg# pass 0 level1 0 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=40.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.906725 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=0.900224) vs oldopt=(dt=0.32,rms=0.900455) #GCMRL# 92 dt 0.256000 rms 0.900 0.717% neg 0 invalid 762 tFOTS 15.4570 tGradient 3.1140 tsec 19.7300 #FOTS# QuadFit found better minimum quadopt=(dt=0.028,rms=0.899831) vs oldopt=(dt=0.02,rms=0.899873) #GCMRL# 93 dt 0.028000 rms 0.900 0.000% neg 0 invalid 762 tFOTS 15.4730 tGradient 3.1200 tsec 19.7850 #GCAMreg# pass 0 level1 0 level2 1 tsec 49.269 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=40.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.900549 #GCMRL# 95 dt 0.020000 rms 0.900 0.094% neg 0 invalid 762 tFOTS 15.4990 tGradient 3.1790 tsec 19.8480 #FOTS# QuadFit found better minimum quadopt=(dt=0.00175,rms=0.899704) vs oldopt=(dt=0.00125,rms=0.899704) GCAMregister done in 22.0194 min Starting GCAmapRenormalizeWithAlignment() without scales renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.10253 (16) mri peak = 0.19153 (18) Left_Lateral_Ventricle (4): linear fit = 1.07 x + 0.0 (2032 voxels, overlap=0.704) Left_Lateral_Ventricle (4): linear fit = 1.07 x + 0.0 (2032 voxels, peak = 17), gca=17.0 gca peak = 0.17690 (16) mri peak = 0.17035 (18) Right_Lateral_Ventricle (43): linear fit = 1.15 x + 0.0 (1742 voxels, overlap=0.779) Right_Lateral_Ventricle (43): linear fit = 1.15 x + 0.0 (1742 voxels, peak = 18), gca=18.5 gca peak = 0.28275 (96) mri peak = 0.09964 (93) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (581 voxels, overlap=1.001) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (581 voxels, peak = 94), gca=93.6 gca peak = 0.18948 (93) mri peak = 0.08283 (96) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (538 voxels, overlap=1.008) Left_Pallidum (13): linear fit = 1.00 x + 0.0 (538 voxels, peak = 93), gca=92.5 gca peak = 0.20755 (55) mri peak = 0.09368 (68) Right_Hippocampus (53): linear fit = 1.21 x + 0.0 (476 voxels, overlap=0.055) Right_Hippocampus (53): linear fit = 1.21 x + 0.0 (476 voxels, peak = 66), gca=66.3 gca peak = 0.31831 (58) mri peak = 0.11605 (71) Left_Hippocampus (17): linear fit = 1.24 x + 0.0 (595 voxels, overlap=0.010) Left_Hippocampus (17): linear fit = 1.24 x + 0.0 (595 voxels, peak = 72), gca=71.6 gca peak = 0.11957 (102) mri peak = 0.07693 (101) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (60301 voxels, overlap=0.978) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (60301 voxels, peak = 102), gca=102.0 gca peak = 0.11429 (102) mri peak = 0.05745 (104) Left_Cerebral_White_Matter (2): linear fit = 1.01 x + 0.0 (57420 voxels, overlap=0.980) Left_Cerebral_White_Matter (2): linear fit = 1.01 x + 0.0 (57420 voxels, peak = 104), gca=103.5 gca peak = 0.14521 (59) mri peak = 0.03359 (83) Left_Cerebral_Cortex (3): linear fit = 1.35 x + 0.0 (13502 voxels, overlap=0.000) Left_Cerebral_Cortex (3): linear fit = 1.35 x + 0.0 (13502 voxels, peak = 79), gca=79.4 gca peak = 0.14336 (58) mri peak = 0.03586 (71) Right_Cerebral_Cortex (42): linear fit = 1.35 x + 0.0 (13363 voxels, overlap=0.001) Right_Cerebral_Cortex (42): linear fit = 1.35 x + 0.0 (13363 voxels, peak = 78), gca=78.0 gca peak = 0.13305 (70) mri peak = 0.14433 (82) Right_Caudate (50): linear fit = 1.18 x + 0.0 (697 voxels, overlap=0.021) Right_Caudate (50): linear fit = 1.18 x + 0.0 (697 voxels, peak = 83), gca=82.9 gca peak = 0.15761 (71) mri peak = 0.10163 (84) Left_Caudate (11): linear fit = 1.11 x + 0.0 (822 voxels, overlap=0.472) Left_Caudate (11): linear fit = 1.11 x + 0.0 (822 voxels, peak = 78), gca=78.5 gca peak = 0.13537 (57) mri peak = 0.03951 (72) Left_Cerebellum_Cortex (8): linear fit = 1.27 x + 0.0 (9206 voxels, overlap=0.002) Left_Cerebellum_Cortex (8): linear fit = 1.27 x + 0.0 (9206 voxels, peak = 73), gca=72.7 gca peak = 0.13487 (56) mri peak = 0.04455 (71) Right_Cerebellum_Cortex (47): linear fit = 1.23 x + 0.0 (13177 voxels, overlap=0.048) Right_Cerebellum_Cortex (47): linear fit = 1.23 x + 0.0 (13177 voxels, peak = 69), gca=68.6 gca peak = 0.19040 (84) mri peak = 0.06279 (90) Left_Cerebellum_White_Matter (7): linear fit = 1.07 x + 0.0 (7697 voxels, overlap=0.807) Left_Cerebellum_White_Matter (7): linear fit = 1.07 x + 0.0 (7697 voxels, peak = 89), gca=89.5 gca peak = 0.18871 (83) mri peak = 0.07576 (84) Right_Cerebellum_White_Matter (46): linear fit = 1.01 x + 0.0 (7520 voxels, overlap=0.963) Right_Cerebellum_White_Matter (46): linear fit = 1.01 x + 0.0 (7520 voxels, peak = 84), gca=84.2 gca peak = 0.24248 (57) mri peak = 0.10092 (73) Left_Amygdala (18): linear fit = 1.26 x + 0.0 (320 voxels, overlap=0.047) Left_Amygdala (18): linear fit = 1.26 x + 0.0 (320 voxels, peak = 72), gca=72.1 gca peak = 0.35833 (56) mri peak = 0.08925 (71) Right_Amygdala (54): linear fit = 1.23 x + 0.0 (485 voxels, overlap=0.033) Right_Amygdala (54): linear fit = 1.23 x + 0.0 (485 voxels, peak = 69), gca=68.6 gca peak = 0.12897 (85) mri peak = 0.06095 (88) Left_Thalamus (10): linear fit = 1.02 x + 0.0 (4100 voxels, overlap=0.943) Left_Thalamus (10): linear fit = 1.02 x + 0.0 (4100 voxels, peak = 87), gca=87.1 gca peak = 0.13127 (83) mri peak = 0.10067 (83) Right_Thalamus (49): linear fit = 0.99 x + 0.0 (2788 voxels, overlap=0.917) Right_Thalamus (49): linear fit = 0.99 x + 0.0 (2788 voxels, peak = 82), gca=81.8 gca peak = 0.12974 (78) mri peak = 0.07430 (83) Left_Putamen (12): linear fit = 1.04 x + 0.0 (1993 voxels, overlap=0.870) Left_Putamen (12): linear fit = 1.04 x + 0.0 (1993 voxels, peak = 82), gca=81.5 gca peak = 0.17796 (79) mri peak = 0.08498 (83) Right_Putamen (51): linear fit = 1.03 x + 0.0 (2022 voxels, overlap=0.996) Right_Putamen (51): linear fit = 1.03 x + 0.0 (2022 voxels, peak = 82), gca=81.8 gca peak = 0.10999 (80) mri peak = 0.09485 (80) Brain_Stem (16): linear fit = 1.10 x + 0.0 (11125 voxels, overlap=0.415) Brain_Stem (16): linear fit = 1.10 x + 0.0 (11125 voxels, peak = 88), gca=87.6 gca peak = 0.13215 (88) mri peak = 0.08144 (90) Right_VentralDC (60): linear fit = 1.07 x + 0.0 (1324 voxels, overlap=0.696) Right_VentralDC (60): linear fit = 1.07 x + 0.0 (1324 voxels, peak = 94), gca=93.7 gca peak = 0.11941 (89) mri peak = 0.08376 (92) Left_VentralDC (28): linear fit = 1.09 x + 0.0 (1424 voxels, overlap=0.628) Left_VentralDC (28): linear fit = 1.09 x + 0.0 (1424 voxels, peak = 97), gca=96.6 gca peak = 0.20775 (25) mri peak = 0.07645 (25) gca peak = 0.13297 (21) mri peak = 0.05814 (16) Fourth_Ventricle (15): linear fit = 0.98 x + 0.0 (271 voxels, overlap=0.750) Fourth_Ventricle (15): linear fit = 0.98 x + 0.0 (271 voxels, peak = 20), gca=20.5 gca peak Unknown = 0.94777 ( 0) gca peak Left_Inf_Lat_Vent = 0.19087 (28) gca peak Third_Ventricle = 0.20775 (25) gca peak CSF = 0.16821 (33) gca peak Left_Accumbens_area = 0.32850 (63) gca peak Left_undetermined = 0.98480 (28) gca peak Left_vessel = 0.40887 (53) gca peak Left_choroid_plexus = 0.10898 (46) gca peak Right_Inf_Lat_Vent = 0.17798 (26) gca peak Right_Accumbens_area = 0.30137 (64) gca peak Right_vessel = 0.47828 (52) gca peak Right_choroid_plexus = 0.11612 (45) gca peak Fifth_Ventricle = 0.59466 (35) gca peak WM_hypointensities = 0.10053 (78) gca peak non_WM_hypointensities = 0.07253 (60) gca peak Optic_Chiasm = 0.25330 (73) not using caudate to estimate GM means estimating mean gm scale to be 1.27 x + 0.0 estimating mean wm scale to be 1.01 x + 0.0 estimating mean csf scale to be 1.07 x + 0.0 saving intensity scales to talairach.label_intensities.txt GCAmapRenormalizeWithAlignment() took 3.01258 min noneg pre Starting GCAMregister() label assignment complete, 0 changed (0.00%) npasses = 1, nlevels = 6 #pass# 1 of 1 ************************ enabling zero nodes setting smoothness cost coefficient to 0.008 #GCAMreg# pass 0 level1 5 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.01 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.975251 #FOTS# QuadFit found better minimum quadopt=(dt=255.794,rms=0.840157) vs oldopt=(dt=92.48,rms=0.885376) #GCMRL# 97 dt 255.794047 rms 0.840 13.852% neg 0 invalid 762 tFOTS 15.3600 tGradient 6.2800 tsec 22.8000 #FOTS# QuadFit found better minimum quadopt=(dt=240.873,rms=0.795528) vs oldopt=(dt=92.48,rms=0.811171) #GCMRL# 98 dt 240.872727 rms 0.796 5.312% neg 0 invalid 762 tFOTS 16.3300 tGradient 6.4410 tsec 23.9260 #FOTS# QuadFit found better minimum quadopt=(dt=209.797,rms=0.778684) vs oldopt=(dt=92.48,rms=0.784396) #GCMRL# 99 dt 209.796791 rms 0.779 2.117% neg 0 invalid 762 tFOTS 16.2640 tGradient 6.4020 tsec 23.8150 #FOTS# QuadFit found better minimum quadopt=(dt=295.936,rms=0.76956) vs oldopt=(dt=369.92,rms=0.769841) #GCMRL# 100 dt 295.936000 rms 0.770 1.172% neg 0 invalid 762 tFOTS 15.3110 tGradient 6.3180 tsec 22.7710 #FOTS# QuadFit found better minimum quadopt=(dt=151.54,rms=0.765106) vs oldopt=(dt=92.48,rms=0.766053) #GCMRL# 101 dt 151.540230 rms 0.765 0.579% neg 0 invalid 762 tFOTS 16.2570 tGradient 6.3530 tsec 23.7700 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.758226) vs oldopt=(dt=369.92,rms=0.759393) #GCMRL# 102 dt 517.888000 rms 0.758 0.899% neg 0 invalid 762 tFOTS 15.2610 tGradient 6.3480 tsec 22.7570 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.75632) vs oldopt=(dt=92.48,rms=0.756585) #GCMRL# 103 dt 129.472000 rms 0.756 0.251% neg 0 invalid 762 tFOTS 15.2000 tGradient 6.3120 tsec 22.6530 #GCMRL# 104 dt 1479.680000 rms 0.748 1.110% neg 0 invalid 762 tFOTS 16.1460 tGradient 6.2580 tsec 23.5440 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.744414) vs oldopt=(dt=92.48,rms=0.744664) #GCMRL# 105 dt 129.472000 rms 0.744 0.470% neg 0 invalid 762 tFOTS 16.1550 tGradient 6.3040 tsec 23.5990 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.74153) vs oldopt=(dt=369.92,rms=0.74189) #GCMRL# 106 dt 517.888000 rms 0.742 0.387% neg 0 invalid 762 tFOTS 16.1340 tGradient 6.2170 tsec 23.4970 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.739937) vs oldopt=(dt=92.48,rms=0.740042) #GCMRL# 107 dt 129.472000 rms 0.740 0.215% neg 0 invalid 762 tFOTS 17.0370 tGradient 6.2130 tsec 24.3800 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.738011) vs oldopt=(dt=369.92,rms=0.738307) #GCMRL# 108 dt 517.888000 rms 0.738 0.260% neg 0 invalid 762 tFOTS 16.0870 tGradient 6.2430 tsec 23.4610 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.73692) vs oldopt=(dt=92.48,rms=0.737) #GCMRL# 109 dt 129.472000 rms 0.737 0.148% neg 0 invalid 762 tFOTS 16.0980 tGradient 6.1420 tsec 23.3790 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.735312) vs oldopt=(dt=369.92,rms=0.735595) #GCMRL# 110 dt 517.888000 rms 0.735 0.218% neg 0 invalid 762 tFOTS 16.0850 tGradient 6.1360 tsec 23.3510 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.734448) vs oldopt=(dt=92.48,rms=0.73452) #GCMRL# 111 dt 129.472000 rms 0.734 0.118% neg 0 invalid 762 tFOTS 16.0430 tGradient 6.1950 tsec 23.3750 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.732982) vs oldopt=(dt=369.92,rms=0.733263) #GCMRL# 112 dt 517.888000 rms 0.733 0.200% neg 0 invalid 762 tFOTS 16.0210 tGradient 6.1970 tsec 23.3490 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.732298) vs oldopt=(dt=92.48,rms=0.732356) #GCMRL# 113 dt 129.472000 rms 0.732 0.093% neg 0 invalid 762 tFOTS 16.0210 tGradient 6.2000 tsec 23.3520 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.730985) vs oldopt=(dt=369.92,rms=0.731247) #GCMRL# 114 dt 517.888000 rms 0.731 0.179% neg 0 invalid 762 tFOTS 16.9780 tGradient 6.2470 tsec 24.3520 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.730426) vs oldopt=(dt=92.48,rms=0.730466) #GCMRL# 115 dt 129.472000 rms 0.730 0.077% neg 0 invalid 762 tFOTS 16.0230 tGradient 6.2340 tsec 23.3830 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.72927) vs oldopt=(dt=369.92,rms=0.729492) #GCMRL# 116 dt 517.888000 rms 0.729 0.158% neg 0 invalid 762 tFOTS 17.0200 tGradient 6.2630 tsec 24.4070 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.728753) vs oldopt=(dt=92.48,rms=0.728804) #GCMRL# 117 dt 129.472000 rms 0.729 0.071% neg 0 invalid 762 tFOTS 16.0380 tGradient 6.2260 tsec 23.3990 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.727718) vs oldopt=(dt=369.92,rms=0.727902) #GCMRL# 118 dt 517.888000 rms 0.728 0.142% neg 0 invalid 762 tFOTS 17.0090 tGradient 6.2270 tsec 24.3660 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.727233) vs oldopt=(dt=92.48,rms=0.727269) #GCMRL# 119 dt 129.472000 rms 0.727 0.067% neg 0 invalid 762 tFOTS 16.0450 tGradient 6.2720 tsec 23.4520 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.726323) vs oldopt=(dt=369.92,rms=0.726487) #GCMRL# 120 dt 517.888000 rms 0.726 0.125% neg 0 invalid 762 tFOTS 16.9800 tGradient 6.2480 tsec 24.3600 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.725836) vs oldopt=(dt=92.48,rms=0.725867) #GCMRL# 121 dt 129.472000 rms 0.726 0.067% neg 0 invalid 762 tFOTS 16.0200 tGradient 6.2890 tsec 23.4360 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.724968) vs oldopt=(dt=369.92,rms=0.725117) #GCMRL# 122 dt 517.888000 rms 0.725 0.120% neg 0 invalid 762 tFOTS 16.9940 tGradient 6.2480 tsec 24.3770 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.724479) vs oldopt=(dt=92.48,rms=0.724509) #GCMRL# 123 dt 129.472000 rms 0.724 0.067% neg 0 invalid 762 tFOTS 16.0380 tGradient 6.2720 tsec 23.4430 #FOTS# QuadFit found better minimum quadopt=(dt=517.888,rms=0.723721) vs oldopt=(dt=369.92,rms=0.723836) #GCMRL# 124 dt 517.888000 rms 0.724 0.105% neg 0 invalid 762 tFOTS 17.0020 tGradient 6.2420 tsec 24.3740 #FOTS# QuadFit found better minimum quadopt=(dt=110.976,rms=0.723262) vs oldopt=(dt=92.48,rms=0.723284) #GCMRL# 125 dt 110.976000 rms 0.723 0.063% neg 0 invalid 762 tFOTS 16.0460 tGradient 6.2570 tsec 23.4290 #FOTS# QuadFit found better minimum quadopt=(dt=4734.98,rms=0.719048) vs oldopt=(dt=5918.72,rms=0.719724) #GCMRL# 126 dt 4734.976000 rms 0.719 0.583% neg 0 invalid 762 tFOTS 16.9700 tGradient 6.2530 tsec 24.3520 #FOTS# QuadFit found better minimum quadopt=(dt=93.8868,rms=0.715427) vs oldopt=(dt=92.48,rms=0.715434) #GCMRL# 127 dt 93.886792 rms 0.715 0.504% neg 0 invalid 762 tFOTS 16.0430 tGradient 6.4260 tsec 23.6020 #FOTS# QuadFit found better minimum quadopt=(dt=221.952,rms=0.715224) vs oldopt=(dt=369.92,rms=0.715292) #GCMRL# 128 dt 221.952000 rms 0.715 0.000% neg 0 invalid 762 tFOTS 16.0310 tGradient 6.3190 tsec 23.5130 #GCMRL# 129 dt 221.952000 rms 0.715 0.035% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3260 tsec 7.4610 #GCMRL# 130 dt 221.952000 rms 0.715 0.064% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3180 tsec 7.4510 #GCMRL# 131 dt 221.952000 rms 0.714 0.081% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3100 tsec 7.4390 #GCMRL# 132 dt 221.952000 rms 0.713 0.127% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3140 tsec 7.4460 #GCMRL# 133 dt 221.952000 rms 0.712 0.126% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2750 tsec 7.4030 #GCMRL# 134 dt 221.952000 rms 0.711 0.154% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3340 tsec 7.4650 #GCMRL# 135 dt 221.952000 rms 0.710 0.159% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2910 tsec 7.4300 #GCMRL# 136 dt 221.952000 rms 0.709 0.175% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3290 tsec 7.4600 #GCMRL# 137 dt 221.952000 rms 0.708 0.161% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4160 tsec 7.5470 #GCMRL# 138 dt 221.952000 rms 0.706 0.151% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3900 tsec 7.5160 #GCMRL# 139 dt 221.952000 rms 0.705 0.172% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2480 tsec 7.3820 #GCMRL# 140 dt 221.952000 rms 0.704 0.168% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3820 tsec 7.5170 #GCMRL# 141 dt 221.952000 rms 0.703 0.147% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1930 tsec 7.3260 #GCMRL# 142 dt 221.952000 rms 0.702 0.115% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1730 tsec 7.3030 #GCMRL# 143 dt 221.952000 rms 0.701 0.114% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1300 tsec 7.2630 #GCMRL# 144 dt 221.952000 rms 0.701 0.099% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3550 tsec 7.4870 #GCMRL# 145 dt 221.952000 rms 0.700 0.093% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3790 tsec 7.5110 #GCMRL# 146 dt 221.952000 rms 0.699 0.090% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1620 tsec 7.2950 #GCMRL# 147 dt 221.952000 rms 0.699 0.090% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1550 tsec 7.2870 #GCMRL# 148 dt 221.952000 rms 0.698 0.091% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2420 tsec 7.3780 #GCMRL# 149 dt 221.952000 rms 0.698 0.094% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3840 tsec 7.5140 #GCMRL# 150 dt 221.952000 rms 0.697 0.091% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2270 tsec 7.3550 #GCMRL# 151 dt 221.952000 rms 0.696 0.083% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4360 tsec 7.5660 #GCMRL# 152 dt 221.952000 rms 0.696 0.080% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4050 tsec 7.5280 #GCMRL# 153 dt 221.952000 rms 0.695 0.073% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2300 tsec 7.3570 #GCMRL# 154 dt 221.952000 rms 0.695 0.079% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2370 tsec 7.3670 #GCMRL# 155 dt 221.952000 rms 0.694 0.069% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4310 tsec 7.5560 #GCMRL# 156 dt 221.952000 rms 0.694 0.056% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4440 tsec 7.5750 #GCMRL# 157 dt 221.952000 rms 0.693 0.054% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4240 tsec 7.5520 #GCMRL# 158 dt 221.952000 rms 0.693 0.054% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3290 tsec 7.4560 #GCMRL# 159 dt 221.952000 rms 0.693 0.052% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4130 tsec 7.5410 #GCMRL# 160 dt 221.952000 rms 0.692 0.052% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1750 tsec 7.3070 #GCMRL# 161 dt 221.952000 rms 0.692 0.056% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4320 tsec 7.5680 #GCMRL# 162 dt 221.952000 rms 0.692 0.058% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4520 tsec 7.5860 #GCMRL# 163 dt 221.952000 rms 0.691 0.061% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5320 tsec 7.6620 #GCMRL# 164 dt 221.952000 rms 0.691 0.059% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3210 tsec 7.4570 #GCMRL# 165 dt 221.952000 rms 0.690 0.053% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2690 tsec 7.4130 #GCMRL# 166 dt 221.952000 rms 0.690 0.046% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1190 tsec 7.2520 #GCMRL# 167 dt 221.952000 rms 0.690 0.042% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4780 tsec 7.6130 #GCMRL# 168 dt 221.952000 rms 0.689 0.045% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4570 tsec 7.5960 #GCMRL# 169 dt 221.952000 rms 0.689 0.047% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2330 tsec 7.3600 #GCMRL# 170 dt 221.952000 rms 0.689 0.046% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.1940 tsec 7.3230 #GCMRL# 171 dt 221.952000 rms 0.688 0.041% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.4680 tsec 7.5960 #GCMRL# 172 dt 221.952000 rms 0.688 0.041% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3410 tsec 7.4660 #GCMRL# 173 dt 221.952000 rms 0.688 0.037% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2960 tsec 7.4240 #GCMRL# 174 dt 221.952000 rms 0.688 0.036% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2490 tsec 7.3750 #GCMRL# 175 dt 221.952000 rms 0.687 0.037% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2460 tsec 7.3750 #GCMRL# 176 dt 221.952000 rms 0.687 0.034% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2790 tsec 7.4050 #GCMRL# 177 dt 221.952000 rms 0.687 0.030% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3490 tsec 7.4800 #GCMRL# 178 dt 221.952000 rms 0.687 0.034% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3300 tsec 7.4620 #GCMRL# 179 dt 221.952000 rms 0.687 0.041% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3460 tsec 7.4860 #GCMRL# 180 dt 221.952000 rms 0.686 0.039% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3750 tsec 7.5050 #GCMRL# 181 dt 221.952000 rms 0.686 0.039% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.3480 tsec 7.4800 #GCMRL# 182 dt 221.952000 rms 0.686 0.042% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2650 tsec 7.3990 #GCMRL# 183 dt 221.952000 rms 0.685 0.042% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2640 tsec 7.4010 #GCMRL# 184 dt 221.952000 rms 0.685 0.036% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.2860 tsec 7.4200 #GCMRL# 185 dt 221.952000 rms 0.685 0.034% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.6440 tsec 7.7760 #GCMRL# 186 dt 221.952000 rms 0.685 0.033% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.6110 tsec 7.7450 #GCMRL# 187 dt 221.952000 rms 0.684 0.032% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.6370 tsec 7.7740 #GCMRL# 188 dt 221.952000 rms 0.684 0.030% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5010 tsec 7.6380 #GCMRL# 189 dt 221.952000 rms 0.684 0.032% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.6000 tsec 7.7330 #GCMRL# 190 dt 221.952000 rms 0.684 0.030% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5370 tsec 7.6690 #GCMRL# 191 dt 221.952000 rms 0.684 0.030% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5850 tsec 7.7180 #GCMRL# 192 dt 221.952000 rms 0.683 0.030% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5130 tsec 7.6440 #GCMRL# 193 dt 221.952000 rms 0.683 0.028% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.6070 tsec 7.7370 #GCMRL# 194 dt 221.952000 rms 0.683 0.028% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5870 tsec 7.7170 #GCMRL# 195 dt 221.952000 rms 0.683 0.025% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.5250 tsec 7.6500 #GCMRL# 196 dt 221.952000 rms 0.683 0.024% neg 0 invalid 762 tFOTS 0.0000 tGradient 6.6570 tsec 7.8140 #FOTS# QuadFit found better minimum quadopt=(dt=1775.62,rms=0.682597) vs oldopt=(dt=1479.68,rms=0.682603) #GCMRL# 197 dt 1775.616000 rms 0.683 0.000% neg 0 invalid 762 tFOTS 16.9490 tGradient 6.6050 tsec 24.7210 #GCAMreg# pass 0 level1 5 level2 1 tsec 1303.52 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.01 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.683773 #FOTS# QuadFit found better minimum quadopt=(dt=295.936,rms=0.681439) vs oldopt=(dt=369.92,rms=0.681599) #GCMRL# 199 dt 295.936000 rms 0.681 0.341% neg 0 invalid 762 tFOTS 16.0260 tGradient 6.4390 tsec 23.5910 #FOTS# QuadFit found better minimum quadopt=(dt=295.936,rms=0.680216) vs oldopt=(dt=369.92,rms=0.680431) #GCMRL# 200 dt 295.936000 rms 0.680 0.179% neg 0 invalid 762 tFOTS 16.0430 tGradient 6.3450 tsec 23.5160 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.679859) vs oldopt=(dt=92.48,rms=0.679903) #GCMRL# 201 dt 129.472000 rms 0.680 0.052% neg 0 invalid 762 tFOTS 16.0490 tGradient 6.4520 tsec 23.6300 #FOTS# QuadFit found better minimum quadopt=(dt=2071.55,rms=0.677941) vs oldopt=(dt=1479.68,rms=0.678163) #GCMRL# 202 dt 2071.552000 rms 0.678 0.282% neg 0 invalid 762 tFOTS 16.9700 tGradient 6.3070 tsec 24.4100 #FOTS# QuadFit found better minimum quadopt=(dt=129.472,rms=0.677528) vs oldopt=(dt=92.48,rms=0.677595) #GCMRL# 203 dt 129.472000 rms 0.678 0.061% neg 0 invalid 762 tFOTS 16.0330 tGradient 6.1390 tsec 23.3080 #FOTS# QuadFit found better minimum quadopt=(dt=295.936,rms=0.677449) vs oldopt=(dt=369.92,rms=0.677455) #GCMRL# 204 dt 295.936000 rms 0.677 0.000% neg 0 invalid 762 tFOTS 16.0440 tGradient 6.1430 tsec 23.3480 setting smoothness cost coefficient to 0.031 #GCAMreg# pass 0 level1 4 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.03 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.681838 #FOTS# QuadFit found better minimum quadopt=(dt=95.3846,rms=0.678817) vs oldopt=(dt=103.68,rms=0.678837) #GCMRL# 206 dt 95.384615 rms 0.679 0.443% neg 0 invalid 762 tFOTS 16.0400 tGradient 4.9820 tsec 22.1550 #FOTS# QuadFit found better minimum quadopt=(dt=497.664,rms=0.668197) vs oldopt=(dt=414.72,rms=0.668631) #GCMRL# 207 dt 497.664000 rms 0.668 1.564% neg 0 invalid 762 tFOTS 15.0890 tGradient 5.3940 tsec 21.6110 #FOTS# QuadFit found better minimum quadopt=(dt=72.2869,rms=0.662657) vs oldopt=(dt=103.68,rms=0.663599) #GCMRL# 208 dt 72.286853 rms 0.663 0.829% neg 0 invalid 762 tFOTS 15.0810 tGradient 5.0930 tsec 21.3090 #FOTS# QuadFit found better minimum quadopt=(dt=145.152,rms=0.658682) vs oldopt=(dt=103.68,rms=0.659355) #GCMRL# 209 dt 145.152000 rms 0.659 0.600% neg 0 invalid 762 tFOTS 15.1020 tGradient 5.4670 tsec 21.6950 #FOTS# QuadFit found better minimum quadopt=(dt=84.5128,rms=0.656483) vs oldopt=(dt=103.68,rms=0.656603) #GCMRL# 210 dt 84.512821 rms 0.656 0.334% neg 0 invalid 762 tFOTS 16.0330 tGradient 5.0530 tsec 22.2220 #GCMRL# 211 dt 103.680000 rms 0.655 0.281% neg 0 invalid 762 tFOTS 16.0390 tGradient 5.2690 tsec 22.4390 #FOTS# QuadFit found better minimum quadopt=(dt=76.3661,rms=0.653027) vs oldopt=(dt=103.68,rms=0.65324) #GCMRL# 212 dt 76.366102 rms 0.653 0.246% neg 0 invalid 762 tFOTS 16.0650 tGradient 4.9160 tsec 22.1170 #FOTS# QuadFit found better minimum quadopt=(dt=94.1176,rms=0.651709) vs oldopt=(dt=103.68,rms=0.65173) #GCMRL# 213 dt 94.117647 rms 0.652 0.202% neg 0 invalid 762 tFOTS 16.0390 tGradient 4.9480 tsec 22.1210 #FOTS# QuadFit found better minimum quadopt=(dt=73.728,rms=0.650343) vs oldopt=(dt=103.68,rms=0.650549) #GCMRL# 214 dt 73.728000 rms 0.650 0.210% neg 0 invalid 762 tFOTS 16.0350 tGradient 4.9810 tsec 22.1410 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.649201) vs oldopt=(dt=103.68,rms=0.649207) #GCMRL# 215 dt 82.944000 rms 0.649 0.176% neg 0 invalid 762 tFOTS 15.1260 tGradient 4.9620 tsec 21.2210 #FOTS# QuadFit found better minimum quadopt=(dt=85.0526,rms=0.64808) vs oldopt=(dt=103.68,rms=0.648137) #GCMRL# 216 dt 85.052632 rms 0.648 0.173% neg 0 invalid 762 tFOTS 16.0220 tGradient 4.9630 tsec 22.1160 #FOTS# QuadFit found better minimum quadopt=(dt=70.4928,rms=0.647027) vs oldopt=(dt=103.68,rms=0.647168) #GCMRL# 217 dt 70.492754 rms 0.647 0.162% neg 0 invalid 762 tFOTS 16.0280 tGradient 4.9520 tsec 22.1090 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.646043) vs oldopt=(dt=103.68,rms=0.646053) #GCMRL# 218 dt 82.944000 rms 0.646 0.152% neg 0 invalid 762 tFOTS 15.0700 tGradient 4.9830 tsec 21.1840 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.645084) vs oldopt=(dt=103.68,rms=0.645133) #GCMRL# 219 dt 82.944000 rms 0.645 0.148% neg 0 invalid 762 tFOTS 15.0680 tGradient 4.9910 tsec 21.1920 #FOTS# QuadFit found better minimum quadopt=(dt=71.0244,rms=0.644216) vs oldopt=(dt=103.68,rms=0.644389) #GCMRL# 220 dt 71.024390 rms 0.644 0.135% neg 0 invalid 762 tFOTS 16.0230 tGradient 5.1710 tsec 22.3370 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.643358) vs oldopt=(dt=103.68,rms=0.643371) #GCMRL# 221 dt 82.944000 rms 0.643 0.133% neg 0 invalid 762 tFOTS 15.0760 tGradient 5.1750 tsec 21.3910 #FOTS# QuadFit found better minimum quadopt=(dt=73.697,rms=0.642599) vs oldopt=(dt=103.68,rms=0.642727) #GCMRL# 222 dt 73.696970 rms 0.643 0.118% neg 0 invalid 762 tFOTS 16.0370 tGradient 5.1730 tsec 22.3360 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.641798) vs oldopt=(dt=103.68,rms=0.641829) #GCMRL# 223 dt 82.944000 rms 0.642 0.125% neg 0 invalid 762 tFOTS 15.1120 tGradient 5.1640 tsec 21.4070 #FOTS# QuadFit found better minimum quadopt=(dt=64.9143,rms=0.641119) vs oldopt=(dt=103.68,rms=0.641304) #GCMRL# 224 dt 64.914286 rms 0.641 0.106% neg 0 invalid 762 tFOTS 16.0430 tGradient 5.1240 tsec 22.3010 #GCMRL# 225 dt 103.680000 rms 0.640 0.120% neg 0 invalid 762 tFOTS 15.0860 tGradient 5.1400 tsec 21.3600 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.63981) vs oldopt=(dt=25.92,rms=0.639917) #GCMRL# 226 dt 36.288000 rms 0.640 0.084% neg 0 invalid 762 tFOTS 15.1190 tGradient 5.2060 tsec 21.4540 #GCMRL# 227 dt 1658.880000 rms 0.633 1.019% neg 0 invalid 762 tFOTS 16.0340 tGradient 5.2020 tsec 22.3690 #FOTS# QuadFit found better minimum quadopt=(dt=9.072,rms=0.631425) vs oldopt=(dt=6.48,rms=0.631907) #GCMRL# 228 dt 9.072000 rms 0.631 0.294% neg 0 invalid 762 tFOTS 13.2310 tGradient 5.0110 tsec 19.3740 #FOTS# QuadFit found better minimum quadopt=(dt=2.268,rms=0.631107) vs oldopt=(dt=1.62,rms=0.631195) #GCMRL# 229 dt 2.268000 rms 0.631 0.050% neg 0 invalid 762 tFOTS 12.3160 tGradient 5.0060 tsec 18.4520 #FOTS# QuadFit found better minimum quadopt=(dt=2.268,rms=0.630825) vs oldopt=(dt=1.62,rms=0.630903) #GCMRL# 230 dt 2.268000 rms 0.631 0.000% neg 0 invalid 762 tFOTS 12.2670 tGradient 5.0750 tsec 18.5020 #GCMRL# 231 dt 1.134000 rms 0.631 0.020% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0830 tsec 7.0380 #GCMRL# 232 dt 0.008859 rms 0.631 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0740 tsec 9.4420 #GCMRL# 233 dt 0.004430 rms 0.631 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0680 tsec 7.0730 #GCAMreg# pass 0 level1 4 level2 1 tsec 578.646 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.03 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.631872 #FOTS# QuadFit found better minimum quadopt=(dt=54.0952,rms=0.627177) vs oldopt=(dt=25.92,rms=0.627936) #GCMRL# 235 dt 54.095238 rms 0.627 0.743% neg 0 invalid 762 tFOTS 16.0230 tGradient 5.0780 tsec 22.2370 #FOTS# QuadFit found better minimum quadopt=(dt=85.1847,rms=0.625162) vs oldopt=(dt=103.68,rms=0.625258) #GCMRL# 236 dt 85.184669 rms 0.625 0.321% neg 0 invalid 762 tFOTS 16.0350 tGradient 5.1480 tsec 22.3160 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.624139) vs oldopt=(dt=25.92,rms=0.624326) #GCMRL# 237 dt 36.288000 rms 0.624 0.164% neg 0 invalid 762 tFOTS 15.0960 tGradient 5.0380 tsec 21.2690 #FOTS# QuadFit found better minimum quadopt=(dt=580.608,rms=0.620017) vs oldopt=(dt=414.72,rms=0.620324) #GCMRL# 238 dt 580.608000 rms 0.620 0.660% neg 0 invalid 762 tFOTS 16.0290 tGradient 5.0400 tsec 22.2020 #FOTS# QuadFit found better minimum quadopt=(dt=124.416,rms=0.618865) vs oldopt=(dt=103.68,rms=0.618898) #GCMRL# 239 dt 124.416000 rms 0.619 0.186% neg 0 invalid 762 tFOTS 15.0930 tGradient 4.9700 tsec 21.1890 #FOTS# QuadFit found better minimum quadopt=(dt=124.416,rms=0.618192) vs oldopt=(dt=103.68,rms=0.618206) #GCMRL# 240 dt 124.416000 rms 0.618 0.109% neg 0 invalid 762 tFOTS 15.0910 tGradient 5.1020 tsec 21.3190 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.617618) vs oldopt=(dt=103.68,rms=0.617726) #GCMRL# 241 dt 82.944000 rms 0.618 0.093% neg 0 invalid 762 tFOTS 15.9980 tGradient 5.0760 tsec 22.2090 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.617302) vs oldopt=(dt=25.92,rms=0.617359) #GCMRL# 242 dt 36.288000 rms 0.617 0.051% neg 0 invalid 762 tFOTS 16.0060 tGradient 4.9630 tsec 22.1060 #FOTS# QuadFit found better minimum quadopt=(dt=995.328,rms=0.614539) vs oldopt=(dt=1658.88,rms=0.615481) #GCMRL# 243 dt 995.328000 rms 0.615 0.448% neg 0 invalid 762 tFOTS 16.0240 tGradient 5.0340 tsec 22.1880 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.613093) vs oldopt=(dt=25.92,rms=0.613385) #GCMRL# 244 dt 36.288000 rms 0.613 0.235% neg 0 invalid 762 tFOTS 16.0050 tGradient 4.9220 tsec 22.0540 #FOTS# QuadFit found better minimum quadopt=(dt=62.208,rms=0.612725) vs oldopt=(dt=103.68,rms=0.612815) #GCMRL# 245 dt 62.208000 rms 0.613 0.060% neg 0 invalid 762 tFOTS 16.0340 tGradient 5.0680 tsec 22.2300 #FOTS# QuadFit found better minimum quadopt=(dt=331.776,rms=0.61214) vs oldopt=(dt=414.72,rms=0.612164) #GCMRL# 246 dt 331.776000 rms 0.612 0.095% neg 0 invalid 762 tFOTS 16.0440 tGradient 5.0030 tsec 22.1800 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.611728) vs oldopt=(dt=25.92,rms=0.611813) #GCMRL# 247 dt 36.288000 rms 0.612 0.067% neg 0 invalid 762 tFOTS 15.0930 tGradient 4.9780 tsec 21.2050 #FOTS# QuadFit found better minimum quadopt=(dt=145.152,rms=0.611383) vs oldopt=(dt=103.68,rms=0.611434) #GCMRL# 248 dt 145.152000 rms 0.611 0.056% neg 0 invalid 762 tFOTS 16.0140 tGradient 5.0000 tsec 22.1440 #FOTS# QuadFit found better minimum quadopt=(dt=82.944,rms=0.61108) vs oldopt=(dt=103.68,rms=0.611086) #GCMRL# 249 dt 82.944000 rms 0.611 0.000% neg 0 invalid 762 tFOTS 16.1080 tGradient 5.0220 tsec 22.3050 #GCMRL# 250 dt 82.944000 rms 0.611 0.041% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0090 tsec 6.1590 #GCMRL# 251 dt 82.944000 rms 0.610 0.074% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.1900 tsec 6.3380 #GCMRL# 252 dt 82.944000 rms 0.610 0.103% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.1720 tsec 6.3030 #GCMRL# 253 dt 82.944000 rms 0.609 0.126% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0220 tsec 6.1400 #GCMRL# 254 dt 82.944000 rms 0.608 0.157% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0400 tsec 6.1990 #GCMRL# 255 dt 82.944000 rms 0.607 0.152% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.1010 tsec 6.2300 #GCMRL# 256 dt 82.944000 rms 0.606 0.169% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0600 tsec 6.1840 #GCMRL# 257 dt 82.944000 rms 0.605 0.166% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9460 tsec 6.0680 #GCMRL# 258 dt 82.944000 rms 0.604 0.181% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.1190 tsec 6.2450 #GCMRL# 259 dt 82.944000 rms 0.603 0.164% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0740 tsec 6.1950 #GCMRL# 260 dt 82.944000 rms 0.602 0.162% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0710 tsec 6.1930 #GCMRL# 261 dt 82.944000 rms 0.601 0.158% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0620 tsec 6.1870 #GCMRL# 262 dt 82.944000 rms 0.600 0.152% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9130 tsec 6.0330 #GCMRL# 263 dt 82.944000 rms 0.599 0.139% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9780 tsec 6.1040 #GCMRL# 264 dt 82.944000 rms 0.598 0.138% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9560 tsec 6.0820 #GCMRL# 265 dt 82.944000 rms 0.598 0.140% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0360 tsec 6.1620 #GCMRL# 266 dt 82.944000 rms 0.597 0.142% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0270 tsec 6.1510 #GCMRL# 267 dt 82.944000 rms 0.596 0.126% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0150 tsec 6.1340 #GCMRL# 268 dt 82.944000 rms 0.595 0.128% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0320 tsec 6.1670 #GCMRL# 269 dt 82.944000 rms 0.595 0.116% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0340 tsec 6.1590 #GCMRL# 270 dt 82.944000 rms 0.594 0.124% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0280 tsec 6.1500 #GCMRL# 271 dt 82.944000 rms 0.593 0.124% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9430 tsec 6.0760 #GCMRL# 272 dt 82.944000 rms 0.592 0.123% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0130 tsec 6.1400 #GCMRL# 273 dt 82.944000 rms 0.592 0.116% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9580 tsec 6.0800 #GCMRL# 274 dt 82.944000 rms 0.591 0.108% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9240 tsec 6.0500 #GCMRL# 275 dt 82.944000 rms 0.590 0.106% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9470 tsec 6.0740 #GCMRL# 276 dt 82.944000 rms 0.590 0.091% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.8780 tsec 6.0040 #GCMRL# 277 dt 82.944000 rms 0.589 0.090% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0010 tsec 6.1350 #GCMRL# 278 dt 82.944000 rms 0.589 0.090% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9290 tsec 6.0620 #GCMRL# 279 dt 82.944000 rms 0.588 0.088% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9950 tsec 6.1180 #GCMRL# 280 dt 82.944000 rms 0.588 0.014% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.8310 tsec 6.4000 #GCMRL# 281 dt 82.944000 rms 0.588 0.023% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0310 tsec 6.1720 #GCMRL# 282 dt 82.944000 rms 0.588 0.035% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.8510 tsec 5.9700 #GCMRL# 283 dt 41.472000 rms 0.588 0.001% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0000 tsec 6.9540 #GCMRL# 284 dt 20.736000 rms 0.588 0.001% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.9930 tsec 6.9530 #GCMRL# 285 dt 2.592000 rms 0.588 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0160 tsec 7.7940 #FOTS# QuadFit found better minimum quadopt=(dt=0.567,rms=0.587884) vs oldopt=(dt=0.405,rms=0.587884) #GCMRL# 286 dt 0.567000 rms 0.588 0.000% neg 0 invalid 762 tFOTS 11.3270 tGradient 5.1700 tsec 17.6620 #GCMRL# 287 dt 0.283500 rms 0.588 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0070 tsec 6.9600 #GCMRL# 288 dt 0.070875 rms 0.588 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0120 tsec 7.3520 #GCMRL# 289 dt 0.035437 rms 0.588 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 5.0080 tsec 6.9590 setting smoothness cost coefficient to 0.118 #GCAMreg# pass 0 level1 3 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.12 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.601128 #GCMRL# 291 dt 32.000000 rms 0.598 0.491% neg 0 invalid 762 tFOTS 15.0250 tGradient 4.3270 tsec 20.4790 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.593983) vs oldopt=(dt=32,rms=0.594558) #GCMRL# 292 dt 38.400000 rms 0.594 0.701% neg 0 invalid 762 tFOTS 15.0330 tGradient 4.2000 tsec 20.3660 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.590872) vs oldopt=(dt=32,rms=0.591593) #GCMRL# 293 dt 44.800000 rms 0.591 0.524% neg 0 invalid 762 tFOTS 15.0080 tGradient 4.2520 tsec 20.3950 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.589796) vs oldopt=(dt=8,rms=0.590099) #GCMRL# 294 dt 11.200000 rms 0.590 0.182% neg 0 invalid 762 tFOTS 14.0720 tGradient 4.2370 tsec 19.4310 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.588852) vs oldopt=(dt=8,rms=0.589111) #GCMRL# 295 dt 11.200000 rms 0.589 0.160% neg 0 invalid 762 tFOTS 14.0520 tGradient 4.2340 tsec 19.4100 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.585799) vs oldopt=(dt=32,rms=0.586635) #GCMRL# 296 dt 44.800000 rms 0.586 0.519% neg 0 invalid 762 tFOTS 14.0630 tGradient 4.2310 tsec 19.4120 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.583468) vs oldopt=(dt=32,rms=0.584084) #GCMRL# 297 dt 44.800000 rms 0.583 0.398% neg 0 invalid 762 tFOTS 14.0720 tGradient 4.2340 tsec 19.4360 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.582818) vs oldopt=(dt=8,rms=0.583002) #GCMRL# 298 dt 11.200000 rms 0.583 0.111% neg 0 invalid 762 tFOTS 14.0550 tGradient 4.2830 tsec 19.4650 #GCMRL# 299 dt 32.000000 rms 0.581 0.287% neg 0 invalid 762 tFOTS 14.0590 tGradient 4.2130 tsec 19.4000 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.579294) vs oldopt=(dt=32,rms=0.579803) #GCMRL# 300 dt 44.800000 rms 0.579 0.318% neg 0 invalid 762 tFOTS 14.0650 tGradient 4.2320 tsec 19.4210 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.578787) vs oldopt=(dt=8,rms=0.578927) #GCMRL# 301 dt 11.200000 rms 0.579 0.088% neg 0 invalid 762 tFOTS 14.0590 tGradient 4.1430 tsec 19.3310 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.578336) vs oldopt=(dt=8,rms=0.578462) #GCMRL# 302 dt 11.200000 rms 0.578 0.078% neg 0 invalid 762 tFOTS 14.0740 tGradient 4.2020 tsec 19.4000 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.576654) vs oldopt=(dt=32,rms=0.577135) #GCMRL# 303 dt 44.800000 rms 0.577 0.291% neg 0 invalid 762 tFOTS 14.1130 tGradient 4.2030 tsec 19.4340 #FOTS# QuadFit found better minimum quadopt=(dt=179.2,rms=0.571119) vs oldopt=(dt=128,rms=0.572593) #GCMRL# 304 dt 179.200000 rms 0.571 0.960% neg 0 invalid 762 tFOTS 15.0110 tGradient 4.2000 tsec 20.3310 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.570773) vs oldopt=(dt=8,rms=0.570879) #GCMRL# 305 dt 11.200000 rms 0.571 0.061% neg 0 invalid 762 tFOTS 14.0670 tGradient 4.1540 tsec 19.3450 #FOTS# QuadFit found better minimum quadopt=(dt=9.6,rms=0.57047) vs oldopt=(dt=8,rms=0.570511) #GCMRL# 306 dt 9.600000 rms 0.570 0.053% neg 0 invalid 762 tFOTS 14.0660 tGradient 4.1350 tsec 19.3270 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.570193) vs oldopt=(dt=8,rms=0.570267) #GCMRL# 307 dt 11.200000 rms 0.570 0.000% neg 0 invalid 762 tFOTS 14.0570 tGradient 4.2060 tsec 19.4180 #GCMRL# 308 dt 11.200000 rms 0.570 0.046% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1340 tsec 5.2570 #GCMRL# 309 dt 11.200000 rms 0.570 0.043% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2030 tsec 5.7640 #GCMRL# 310 dt 5.600000 rms 0.570 0.023% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1930 tsec 6.1430 #GCMRL# 311 dt 1.400000 rms 0.570 0.005% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1990 tsec 6.5830 #FOTS# QuadFit found better minimum quadopt=(dt=0.04375,rms=0.56953) vs oldopt=(dt=0.03125,rms=0.56953) #GCAMreg# pass 0 level1 3 level2 1 tsec 378.526 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.12 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.570295 #FOTS# QuadFit found better minimum quadopt=(dt=61.8405,rms=0.565543) vs oldopt=(dt=32,rms=0.56621) #GCMRL# 313 dt 61.840491 rms 0.566 0.833% neg 0 invalid 762 tFOTS 15.9260 tGradient 4.2050 tsec 21.2610 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.563398) vs oldopt=(dt=32,rms=0.563495) #GCMRL# 314 dt 38.400000 rms 0.563 0.379% neg 0 invalid 762 tFOTS 14.9910 tGradient 4.2020 tsec 20.3200 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.562018) vs oldopt=(dt=32,rms=0.562074) #GCMRL# 315 dt 38.400000 rms 0.562 0.245% neg 0 invalid 762 tFOTS 15.0160 tGradient 4.1480 tsec 20.2880 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.561066) vs oldopt=(dt=32,rms=0.561074) #GCMRL# 316 dt 25.600000 rms 0.561 0.169% neg 0 invalid 762 tFOTS 15.0010 tGradient 4.1370 tsec 20.2590 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.560118) vs oldopt=(dt=32,rms=0.560232) #GCMRL# 317 dt 44.800000 rms 0.560 0.169% neg 0 invalid 762 tFOTS 15.9290 tGradient 4.1600 tsec 21.2120 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.559416) vs oldopt=(dt=32,rms=0.559464) #GCMRL# 318 dt 25.600000 rms 0.559 0.125% neg 0 invalid 762 tFOTS 14.9900 tGradient 4.1370 tsec 20.2510 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.558638) vs oldopt=(dt=32,rms=0.558668) #GCMRL# 319 dt 38.400000 rms 0.559 0.139% neg 0 invalid 762 tFOTS 15.0020 tGradient 4.2330 tsec 20.3610 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.558031) vs oldopt=(dt=32,rms=0.558101) #GCMRL# 320 dt 25.600000 rms 0.558 0.109% neg 0 invalid 762 tFOTS 14.9850 tGradient 4.1610 tsec 20.2670 #GCMRL# 321 dt 32.000000 rms 0.557 0.106% neg 0 invalid 762 tFOTS 15.9460 tGradient 4.0590 tsec 21.1250 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.556922) vs oldopt=(dt=32,rms=0.556964) #GCMRL# 322 dt 25.600000 rms 0.557 0.093% neg 0 invalid 762 tFOTS 14.9960 tGradient 4.2520 tsec 20.3720 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.55631) vs oldopt=(dt=32,rms=0.556313) #GCMRL# 323 dt 38.400000 rms 0.556 0.110% neg 0 invalid 762 tFOTS 14.9870 tGradient 4.0930 tsec 20.2070 #FOTS# QuadFit found better minimum quadopt=(dt=24.32,rms=0.555804) vs oldopt=(dt=32,rms=0.555923) #GCMRL# 324 dt 24.320000 rms 0.556 0.091% neg 0 invalid 762 tFOTS 15.0010 tGradient 4.2090 tsec 20.3440 #GCMRL# 325 dt 32.000000 rms 0.555 0.099% neg 0 invalid 762 tFOTS 15.9630 tGradient 4.1450 tsec 21.2340 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.554821) vs oldopt=(dt=32,rms=0.554864) #GCMRL# 326 dt 25.600000 rms 0.555 0.078% neg 0 invalid 762 tFOTS 15.0150 tGradient 4.2340 tsec 20.3780 #GCMRL# 327 dt 32.000000 rms 0.554 0.078% neg 0 invalid 762 tFOTS 14.9940 tGradient 4.1270 tsec 20.2440 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.553956) vs oldopt=(dt=32,rms=0.554011) #GCMRL# 328 dt 25.600000 rms 0.554 0.078% neg 0 invalid 762 tFOTS 15.0040 tGradient 4.1680 tsec 20.3080 #GCMRL# 329 dt 32.000000 rms 0.554 0.069% neg 0 invalid 762 tFOTS 15.9410 tGradient 4.1300 tsec 21.1930 #FOTS# QuadFit found better minimum quadopt=(dt=19.2,rms=0.553186) vs oldopt=(dt=32,rms=0.55325) #GCMRL# 330 dt 19.200000 rms 0.553 0.070% neg 0 invalid 762 tFOTS 15.0160 tGradient 4.2070 tsec 20.3470 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.552759) vs oldopt=(dt=32,rms=0.552824) #GCMRL# 331 dt 44.800000 rms 0.553 0.077% neg 0 invalid 762 tFOTS 15.0010 tGradient 4.0730 tsec 20.2020 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.552406) vs oldopt=(dt=32,rms=0.55246) #GCMRL# 332 dt 25.600000 rms 0.552 0.064% neg 0 invalid 762 tFOTS 15.0670 tGradient 4.2490 tsec 20.4450 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.552108) vs oldopt=(dt=32,rms=0.552127) #GCMRL# 333 dt 25.600000 rms 0.552 0.054% neg 0 invalid 762 tFOTS 15.9520 tGradient 4.2130 tsec 21.2920 #FOTS# QuadFit found better minimum quadopt=(dt=25.6,rms=0.551762) vs oldopt=(dt=32,rms=0.551764) #GCMRL# 334 dt 25.600000 rms 0.552 0.063% neg 0 invalid 762 tFOTS 14.9980 tGradient 4.2330 tsec 20.3620 #GCMRL# 335 dt 32.000000 rms 0.552 0.000% neg 0 invalid 762 tFOTS 15.9690 tGradient 4.2110 tsec 21.3410 #GCMRL# 336 dt 32.000000 rms 0.551 0.042% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2440 tsec 5.3690 #GCMRL# 337 dt 32.000000 rms 0.550 0.154% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2300 tsec 5.3530 #GCMRL# 338 dt 32.000000 rms 0.550 0.128% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2060 tsec 5.3280 #GCMRL# 339 dt 32.000000 rms 0.548 0.228% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2170 tsec 5.3360 #GCMRL# 340 dt 32.000000 rms 0.547 0.183% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2060 tsec 5.3360 #GCMRL# 341 dt 32.000000 rms 0.546 0.244% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2090 tsec 5.3350 #GCMRL# 342 dt 32.000000 rms 0.545 0.224% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2030 tsec 5.3290 #GCMRL# 343 dt 32.000000 rms 0.544 0.232% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1980 tsec 5.3210 #GCMRL# 344 dt 32.000000 rms 0.543 0.187% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1960 tsec 5.3250 #GCMRL# 345 dt 32.000000 rms 0.542 0.037% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0700 tsec 5.6240 #GCMRL# 346 dt 32.000000 rms 0.542 0.027% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0570 tsec 5.1800 #GCMRL# 347 dt 32.000000 rms 0.542 0.018% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0750 tsec 5.2060 #GCMRL# 348 dt 32.000000 rms 0.542 0.093% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2040 tsec 5.3230 #GCMRL# 349 dt 32.000000 rms 0.541 0.076% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2490 tsec 5.3680 #GCMRL# 350 dt 32.000000 rms 0.541 0.095% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1660 tsec 5.2860 #GCMRL# 351 dt 32.000000 rms 0.540 0.084% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2040 tsec 5.3260 #GCMRL# 352 dt 32.000000 rms 0.539 0.153% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.2230 tsec 5.3450 #GCMRL# 353 dt 32.000000 rms 0.539 0.137% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0640 tsec 5.1900 #GCMRL# 354 dt 32.000000 rms 0.538 0.155% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0670 tsec 5.1930 #GCMRL# 355 dt 32.000000 rms 0.537 0.112% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0710 tsec 5.1950 #GCMRL# 356 dt 32.000000 rms 0.536 0.178% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0690 tsec 5.1950 #GCMRL# 357 dt 32.000000 rms 0.536 0.117% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1010 tsec 5.2230 #GCMRL# 358 dt 32.000000 rms 0.535 0.134% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1010 tsec 5.2210 #GCMRL# 359 dt 32.000000 rms 0.535 0.056% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0800 tsec 5.2010 #GCMRL# 360 dt 32.000000 rms 0.534 0.133% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0750 tsec 5.1960 #GCMRL# 361 dt 32.000000 rms 0.534 0.079% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0740 tsec 5.2020 #GCMRL# 362 dt 32.000000 rms 0.533 0.117% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0900 tsec 5.2160 #GCMRL# 363 dt 32.000000 rms 0.533 0.066% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0690 tsec 5.1990 #GCMRL# 364 dt 32.000000 rms 0.532 0.134% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0710 tsec 5.1970 #GCMRL# 365 dt 32.000000 rms 0.531 0.073% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0990 tsec 5.2270 #GCMRL# 366 dt 32.000000 rms 0.531 0.081% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0710 tsec 5.1970 #GCMRL# 367 dt 32.000000 rms 0.531 0.051% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0710 tsec 5.1930 #GCMRL# 368 dt 32.000000 rms 0.530 0.100% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0750 tsec 5.1950 #GCMRL# 369 dt 32.000000 rms 0.530 0.059% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0720 tsec 5.1930 #GCMRL# 370 dt 32.000000 rms 0.530 0.063% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9990 tsec 5.1200 #GCMRL# 371 dt 32.000000 rms 0.529 0.056% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0710 tsec 5.1940 #GCMRL# 372 dt 32.000000 rms 0.529 0.051% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0530 tsec 5.1790 #GCMRL# 373 dt 32.000000 rms 0.529 0.044% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0520 tsec 5.1800 #GCMRL# 374 dt 32.000000 rms 0.529 0.018% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0590 tsec 5.1830 #GCMRL# 375 dt 32.000000 rms 0.528 0.085% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0570 tsec 5.1830 #GCMRL# 376 dt 32.000000 rms 0.528 0.045% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0740 tsec 5.1980 #GCMRL# 377 dt 32.000000 rms 0.528 0.049% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0630 tsec 5.1860 #GCMRL# 378 dt 32.000000 rms 0.528 0.007% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1490 tsec 5.2690 #GCMRL# 379 dt 32.000000 rms 0.527 0.064% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1370 tsec 5.2570 #GCMRL# 380 dt 32.000000 rms 0.527 0.047% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.1260 tsec 5.2520 #GCMRL# 381 dt 32.000000 rms 0.527 0.046% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0610 tsec 5.1820 #GCMRL# 382 dt 32.000000 rms 0.527 0.035% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0640 tsec 5.2040 #GCMRL# 383 dt 32.000000 rms 0.527 0.033% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0740 tsec 5.2000 #GCMRL# 384 dt 32.000000 rms 0.526 0.007% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0610 tsec 5.1900 #GCMRL# 385 dt 32.000000 rms 0.526 -0.010% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.0670 tsec 6.2500 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.526448) vs oldopt=(dt=8,rms=0.526454) #GCMRL# 386 dt 11.200000 rms 0.526 0.008% neg 0 invalid 762 tFOTS 15.9470 tGradient 4.0640 tsec 21.1300 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.526417) vs oldopt=(dt=32,rms=0.526419) setting smoothness cost coefficient to 0.400 #GCAMreg# pass 0 level1 2 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.40 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.556894 #GCMRL# 388 dt 0.000000 rms 0.556 0.106% neg 0 invalid 762 tFOTS 14.0570 tGradient 3.7450 tsec 18.9350 #GCMRL# 389 dt 0.150000 rms 0.556 0.000% neg 0 invalid 762 tFOTS 14.0710 tGradient 3.7410 tsec 19.9890 #GCAMreg# pass 0 level1 2 level2 1 tsec 49.076 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.40 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.556894 #GCMRL# 391 dt 0.000000 rms 0.556 0.106% neg 0 invalid 762 tFOTS 15.0270 tGradient 3.7370 tsec 19.8970 #GCMRL# 392 dt 0.150000 rms 0.556 0.000% neg 0 invalid 762 tFOTS 15.0220 tGradient 3.7450 tsec 20.9540 setting smoothness cost coefficient to 1.000 #GCAMreg# pass 0 level1 1 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=1.00 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.615573 #FOTS# QuadFit found better minimum quadopt=(dt=0.448,rms=0.614023) vs oldopt=(dt=0.32,rms=0.614202) #GCMRL# 394 dt 0.448000 rms 0.614 0.252% neg 0 invalid 762 tFOTS 14.0670 tGradient 3.5430 tsec 18.7380 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=0.613881) vs oldopt=(dt=0.32,rms=0.613888) #GCMRL# 395 dt 0.256000 rms 0.614 0.000% neg 0 invalid 762 tFOTS 15.0100 tGradient 3.5430 tsec 19.7090 #GCAMreg# pass 0 level1 1 level2 1 tsec 48.392 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=1.00 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.614418 #FOTS# QuadFit found better minimum quadopt=(dt=0.448,rms=0.613547) vs oldopt=(dt=0.32,rms=0.613565) #GCMRL# 397 dt 0.448000 rms 0.614 0.142% neg 0 invalid 762 tFOTS 14.9830 tGradient 3.5430 tsec 19.6510 #FOTS# QuadFit found better minimum quadopt=(dt=0.028,rms=0.613535) vs oldopt=(dt=0.02,rms=0.613536) #GCMRL# 398 dt 0.028000 rms 0.614 0.000% neg 0 invalid 762 tFOTS 14.0780 tGradient 3.6080 tsec 18.8360 resetting metric properties... setting smoothness cost coefficient to 2.000 #GCAMreg# pass 0 level1 0 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=2.00 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=2.0,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.527942 #FOTS# QuadFit found better minimum quadopt=(dt=0.448,rms=0.511152) vs oldopt=(dt=0.32,rms=0.515597) #GCMRL# 400 dt 0.448000 rms 0.511 3.180% neg 0 invalid 762 tFOTS 14.0650 tGradient 2.9530 tsec 18.1450 #FOTS# QuadFit found better minimum quadopt=(dt=0.384,rms=0.508363) vs oldopt=(dt=0.32,rms=0.508816) #GCMRL# 401 dt 0.384000 rms 0.508 0.546% neg 0 invalid 762 tFOTS 14.0920 tGradient 2.9000 tsec 18.1180 #FOTS# QuadFit found better minimum quadopt=(dt=0.384,rms=0.506574) vs oldopt=(dt=0.32,rms=0.506866) #GCMRL# 402 dt 0.384000 rms 0.507 0.352% neg 0 invalid 762 tFOTS 14.1360 tGradient 2.9000 tsec 18.1610 #FOTS# QuadFit found better minimum quadopt=(dt=0.384,rms=0.505473) vs oldopt=(dt=0.32,rms=0.505645) #GCMRL# 403 dt 0.384000 rms 0.505 0.217% neg 0 invalid 762 tFOTS 14.0510 tGradient 2.8940 tsec 18.0680 #GCMRL# 404 dt 0.320000 rms 0.505 0.140% neg 0 invalid 762 tFOTS 14.0810 tGradient 2.8710 tsec 18.0790 #FOTS# QuadFit found better minimum quadopt=(dt=0.339286,rms=0.504197) vs oldopt=(dt=0.32,rms=0.504225) #GCMRL# 405 dt 0.339286 rms 0.504 0.113% neg 0 invalid 762 tFOTS 14.0770 tGradient 2.8720 tsec 18.0740 #GCMRL# 406 dt 0.320000 rms 0.504 0.091% neg 0 invalid 762 tFOTS 14.0680 tGradient 2.8980 tsec 18.0920 #GCMRL# 407 dt 0.320000 rms 0.503 0.067% neg 0 invalid 762 tFOTS 14.0910 tGradient 2.8650 tsec 18.0830 #GCMRL# 408 dt 0.320000 rms 0.503 0.065% neg 0 invalid 762 tFOTS 14.0680 tGradient 2.8940 tsec 18.0870 #GCMRL# 409 dt 0.320000 rms 0.503 0.000% neg 0 invalid 762 tFOTS 14.0990 tGradient 2.8720 tsec 18.1210 #GCMRL# 410 dt 0.320000 rms 0.503 0.047% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.9000 tsec 4.0360 #GCMRL# 411 dt 0.320000 rms 0.502 0.078% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8670 tsec 3.9920 #GCMRL# 412 dt 0.320000 rms 0.502 0.091% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8750 tsec 4.0010 #GCMRL# 413 dt 0.320000 rms 0.501 0.104% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8980 tsec 4.0270 #GCMRL# 414 dt 0.320000 rms 0.501 0.016% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.9000 tsec 4.4540 #GCMRL# 415 dt 0.320000 rms 0.501 0.016% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8680 tsec 4.0250 #FOTS# QuadFit found better minimum quadopt=(dt=0.256,rms=0.501038) vs oldopt=(dt=0.32,rms=0.501042) #GCMRL# 416 dt 0.256000 rms 0.501 0.000% neg 0 invalid 762 tFOTS 14.1020 tGradient 2.8680 tsec 18.1290 #GCMRL# 417 dt 0.256000 rms 0.501 0.010% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8620 tsec 3.9890 #GCMRL# 418 dt 0.256000 rms 0.501 0.013% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.9110 tsec 4.0410 #GCMRL# 419 dt 0.256000 rms 0.501 0.014% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8980 tsec 4.0340 #GCMRL# 420 dt 0.256000 rms 0.501 0.019% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8690 tsec 3.9980 #GCMRL# 421 dt 0.256000 rms 0.501 0.020% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8670 tsec 3.9890 #GCMRL# 422 dt 0.256000 rms 0.501 0.019% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8290 tsec 3.9580 #GCAMreg# pass 0 level1 0 level2 1 tsec 255.924 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=2.00 tol=5.00e-02, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=0.5,type=2, relabel=0, neg=no blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.501026 #GCMRL# 424 dt 0.320000 rms 0.496 1.037% neg 0 invalid 762 tFOTS 14.0900 tGradient 2.8050 tsec 18.0220 #GCMRL# 425 dt 0.320000 rms 0.494 0.344% neg 0 invalid 762 tFOTS 14.0800 tGradient 2.8230 tsec 18.0410 #GCMRL# 426 dt 0.320000 rms 0.493 0.143% neg 0 invalid 762 tFOTS 14.0700 tGradient 2.8660 tsec 18.0640 #GCMRL# 427 dt 0.320000 rms 0.493 0.057% neg 0 invalid 762 tFOTS 14.1080 tGradient 2.8280 tsec 18.0590 #GCMRL# 428 dt 0.320000 rms 0.493 0.000% neg 0 invalid 762 tFOTS 14.0760 tGradient 2.7980 tsec 18.0260 #GCMRL# 429 dt 0.320000 rms 0.493 0.013% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8960 tsec 4.0210 #GCMRL# 430 dt 0.320000 rms 0.493 0.021% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8740 tsec 4.0060 #GCMRL# 431 dt 0.320000 rms 0.493 0.001% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8000 tsec 4.3590 #GCMRL# 432 dt 0.320000 rms 0.493 0.006% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.8850 tsec 4.0130 GCAMregister done in 72.7922 min ********************* ALLOWING NEGATIVE NODES IN DEFORMATION******************************** noneg post Starting GCAMregister() label assignment complete, 0 changed (0.00%) npasses = 1, nlevels = 6 #pass# 1 of 1 ************************ enabling zero nodes setting smoothness cost coefficient to 0.008 #GCAMreg# pass 0 level1 5 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.01 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.491134 #GCMRL# 434 dt 0.000000 rms 0.491 0.111% neg 0 invalid 762 tFOTS 16.9420 tGradient 5.9190 tsec 23.9830 #GCAMreg# pass 0 level1 5 level2 1 tsec 53.257 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.01 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.491134 #FOTS# QuadFit found better minimum quadopt=(dt=110.976,rms=0.490374) vs oldopt=(dt=92.48,rms=0.49038) #GCMRL# 436 dt 110.976000 rms 0.490 0.155% neg 0 invalid 762 tFOTS 16.9090 tGradient 5.9150 tsec 23.9520 #FOTS# QuadFit found better minimum quadopt=(dt=110.976,rms=0.490294) vs oldopt=(dt=92.48,rms=0.490295) #GCMRL# 437 dt 110.976000 rms 0.490 0.000% neg 0 invalid 762 tFOTS 16.9320 tGradient 5.8900 tsec 23.9760 setting smoothness cost coefficient to 0.031 #GCAMreg# pass 0 level1 4 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.03 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.490853 #FOTS# QuadFit found better minimum quadopt=(dt=2.268,rms=0.490314) vs oldopt=(dt=1.62,rms=0.490315) #GCMRL# 439 dt 2.268000 rms 0.490 0.110% neg 0 invalid 762 tFOTS 17.9200 tGradient 4.6860 tsec 23.7360 #FOTS# QuadFit found better minimum quadopt=(dt=1.33333,rms=0.490311) vs oldopt=(dt=1.62,rms=0.490311) #GCMRL# 440 dt 1.333333 rms 0.490 0.000% neg 0 invalid 762 tFOTS 17.9060 tGradient 4.6280 tsec 23.6880 #GCAMreg# pass 0 level1 4 level2 1 tsec 58.472 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.03 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.490848 #FOTS# QuadFit found better minimum quadopt=(dt=124.416,rms=0.489028) vs oldopt=(dt=103.68,rms=0.489049) #GCMRL# 442 dt 124.416000 rms 0.489 0.371% neg 0 invalid 762 tFOTS 16.8920 tGradient 4.6370 tsec 22.6600 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.48852) vs oldopt=(dt=25.92,rms=0.488584) #GCMRL# 443 dt 36.288000 rms 0.489 0.000% neg 0 invalid 762 tFOTS 17.8350 tGradient 4.6310 tsec 23.6200 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 #GCMRL# 444 dt 36.288000 rms 0.488 0.057% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.6260 tsec 6.8600 #GCMRL# 445 dt 36.288000 rms 0.488 0.075% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.6290 tsec 5.7530 #GCMRL# 446 dt 36.288000 rms 0.487 0.101% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.6400 tsec 5.7650 #GCMRL# 447 dt 36.288000 rms 0.487 0.092% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.6270 tsec 5.7460 #GCMRL# 448 dt 36.288000 rms 0.486 0.092% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.6300 tsec 5.7500 iter 0, gcam->neg = 1 after 0 iterations, nbhd size=0, neg = 0 #GCMRL# 449 dt 36.288000 rms 0.486 0.067% neg 0 invalid 762 tFOTS 0.0000 tGradient 4.6230 tsec 6.8810 #FOTS# QuadFit found better minimum quadopt=(dt=36.288,rms=0.486096) vs oldopt=(dt=25.92,rms=0.486104) setting smoothness cost coefficient to 0.118 #GCAMreg# pass 0 level1 3 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.12 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.486841 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.48554) vs oldopt=(dt=8,rms=0.485679) iter 0, gcam->neg = 7 after 3 iterations, nbhd size=0, neg = 0 #GCMRL# 451 dt 11.200000 rms 0.486 0.265% neg 0 invalid 762 tFOTS 17.8790 tGradient 3.9590 tsec 25.7150 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.485199) vs oldopt=(dt=8,rms=0.485261) iter 0, gcam->neg = 5 after 2 iterations, nbhd size=0, neg = 0 #GCMRL# 452 dt 11.200000 rms 0.485 0.000% neg 0 invalid 762 tFOTS 17.8770 tGradient 3.9480 tsec 25.1990 iter 0, gcam->neg = 8 after 14 iterations, nbhd size=1, neg = 0 #GCMRL# 453 dt 11.200000 rms 0.485 0.024% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9590 tsec 13.7490 iter 0, gcam->neg = 19 after 6 iterations, nbhd size=0, neg = 0 #GCAMreg# pass 0 level1 3 level2 1 tsec 79.416 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.12 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.485636 #FOTS# QuadFit found better minimum quadopt=(dt=59.1698,rms=0.48006) vs oldopt=(dt=32,rms=0.480919) iter 0, gcam->neg = 3 after 0 iterations, nbhd size=0, neg = 0 #GCMRL# 455 dt 59.169811 rms 0.480 1.148% neg 0 invalid 762 tFOTS 17.8860 tGradient 3.9680 tsec 24.0860 #FOTS# QuadFit found better minimum quadopt=(dt=24.5598,rms=0.478057) vs oldopt=(dt=32,rms=0.4783) iter 0, gcam->neg = 3 after 3 iterations, nbhd size=0, neg = 0 #GCMRL# 456 dt 24.559819 rms 0.478 0.417% neg 0 invalid 762 tFOTS 17.8430 tGradient 3.9930 tsec 25.6750 #FOTS# QuadFit found better minimum quadopt=(dt=38.4,rms=0.476833) vs oldopt=(dt=32,rms=0.476865) iter 0, gcam->neg = 13 after 10 iterations, nbhd size=0, neg = 0 #GCMRL# 457 dt 38.400000 rms 0.477 0.252% neg 0 invalid 762 tFOTS 17.8470 tGradient 3.9620 tsec 29.4460 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.47628) vs oldopt=(dt=8,rms=0.476407) iter 0, gcam->neg = 5 after 4 iterations, nbhd size=0, neg = 0 #GCMRL# 458 dt 11.200000 rms 0.476 0.000% neg 0 invalid 762 tFOTS 17.8510 tGradient 3.9770 tsec 26.2600 iter 0, gcam->neg = 8 after 2 iterations, nbhd size=0, neg = 0 #GCMRL# 459 dt 11.200000 rms 0.476 0.075% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9930 tsec 7.2980 iter 0, gcam->neg = 9 after 7 iterations, nbhd size=0, neg = 0 #GCMRL# 460 dt 11.200000 rms 0.475 0.098% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9870 tsec 10.0170 iter 0, gcam->neg = 7 after 11 iterations, nbhd size=0, neg = 0 #GCMRL# 461 dt 11.200000 rms 0.475 0.137% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9940 tsec 12.2070 iter 0, gcam->neg = 10 after 9 iterations, nbhd size=0, neg = 0 #GCMRL# 462 dt 11.200000 rms 0.474 0.169% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9550 tsec 11.0560 iter 0, gcam->neg = 17 after 5 iterations, nbhd size=0, neg = 0 #GCMRL# 463 dt 11.200000 rms 0.473 0.174% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9540 tsec 8.9100 iter 0, gcam->neg = 37 after 10 iterations, nbhd size=0, neg = 0 #GCMRL# 464 dt 11.200000 rms 0.472 0.173% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9640 tsec 11.6270 iter 0, gcam->neg = 21 after 21 iterations, nbhd size=1, neg = 0 #GCMRL# 465 dt 11.200000 rms 0.472 0.143% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9840 tsec 17.5930 iter 0, gcam->neg = 17 after 6 iterations, nbhd size=0, neg = 0 #GCMRL# 466 dt 11.200000 rms 0.471 0.153% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9580 tsec 9.4400 iter 0, gcam->neg = 14 after 5 iterations, nbhd size=0, neg = 0 #GCMRL# 467 dt 11.200000 rms 0.470 0.144% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9490 tsec 8.8940 iter 0, gcam->neg = 10 after 8 iterations, nbhd size=0, neg = 0 #GCMRL# 468 dt 11.200000 rms 0.470 0.134% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9720 tsec 10.5660 iter 0, gcam->neg = 12 after 6 iterations, nbhd size=0, neg = 0 #GCMRL# 469 dt 11.200000 rms 0.469 0.122% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9610 tsec 9.4280 iter 0, gcam->neg = 19 after 5 iterations, nbhd size=0, neg = 0 #GCMRL# 470 dt 11.200000 rms 0.469 0.101% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9550 tsec 8.9420 #FOTS# QuadFit found better minimum quadopt=(dt=11.2,rms=0.468582) vs oldopt=(dt=8,rms=0.468584) iter 0, gcam->neg = 5 after 8 iterations, nbhd size=0, neg = 0 #GCMRL# 471 dt 11.200000 rms 0.469 0.000% neg 0 invalid 762 tFOTS 17.8250 tGradient 3.9970 tsec 28.4220 iter 0, gcam->neg = 8 after 4 iterations, nbhd size=0, neg = 0 #GCMRL# 472 dt 11.200000 rms 0.469 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9650 tsec 8.3700 iter 0, gcam->neg = 14 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 473 dt 11.200000 rms 0.469 0.009% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9540 tsec 13.7390 iter 0, gcam->neg = 15 after 8 iterations, nbhd size=0, neg = 0 #GCMRL# 474 dt 11.200000 rms 0.469 0.005% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.9520 tsec 10.4900 iter 0, gcam->neg = 22 after 13 iterations, nbhd size=0, neg = 0 setting smoothness cost coefficient to 0.400 #GCAMreg# pass 0 level1 2 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.40 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.472113 #FOTS# QuadFit found better minimum quadopt=(dt=1.92,rms=0.471485) vs oldopt=(dt=2.88,rms=0.471502) iter 0, gcam->neg = 9 after 10 iterations, nbhd size=0, neg = 0 #GCMRL# 476 dt 1.920000 rms 0.471 0.135% neg 0 invalid 762 tFOTS 17.8770 tGradient 3.6540 tsec 29.1500 #FOTS# QuadFit found better minimum quadopt=(dt=1.008,rms=0.471456) vs oldopt=(dt=0.72,rms=0.471461) iter 0, gcam->neg = 3 after 0 iterations, nbhd size=0, neg = 0 #GCMRL# 477 dt 1.008000 rms 0.471 0.000% neg 0 invalid 762 tFOTS 17.9250 tGradient 3.6440 tsec 23.8310 iter 0, gcam->neg = 2 after 11 iterations, nbhd size=1, neg = 0 #GCAMreg# pass 0 level1 2 level2 1 tsec 70.089 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=0.40 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.471993 #FOTS# QuadFit found better minimum quadopt=(dt=10.3597,rms=0.470594) vs oldopt=(dt=11.52,rms=0.470609) iter 0, gcam->neg = 30 after 11 iterations, nbhd size=0, neg = 0 #GCMRL# 479 dt 10.359712 rms 0.471 0.301% neg 0 invalid 762 tFOTS 17.8640 tGradient 3.6500 tsec 29.7020 #FOTS# QuadFit found better minimum quadopt=(dt=41.422,rms=0.466366) vs oldopt=(dt=46.08,rms=0.466414) iter 0, gcam->neg = 206 after 26 iterations, nbhd size=1, neg = 0 #GCMRL# 480 dt 41.421981 rms 0.466 0.884% neg 0 invalid 762 tFOTS 18.1640 tGradient 3.6410 tsec 38.2310 #FOTS# QuadFit found better minimum quadopt=(dt=7.92308,rms=0.465699) vs oldopt=(dt=11.52,rms=0.465872) iter 0, gcam->neg = 27 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 481 dt 7.923077 rms 0.466 0.000% neg 0 invalid 762 tFOTS 17.8620 tGradient 3.7030 tsec 31.4320 iter 0, gcam->neg = 33 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 482 dt 7.923077 rms 0.465 0.243% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7330 tsec 13.5330 iter 0, gcam->neg = 53 after 16 iterations, nbhd size=0, neg = 0 #GCMRL# 483 dt 7.923077 rms 0.463 0.297% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7260 tsec 14.6170 iter 0, gcam->neg = 97 after 11 iterations, nbhd size=0, neg = 0 #GCMRL# 484 dt 7.923077 rms 0.462 0.254% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7340 tsec 11.9060 iter 0, gcam->neg = 124 after 21 iterations, nbhd size=1, neg = 0 #GCMRL# 485 dt 7.923077 rms 0.461 0.189% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6170 tsec 17.1830 iter 0, gcam->neg = 117 after 15 iterations, nbhd size=0, neg = 0 #GCMRL# 486 dt 7.923077 rms 0.460 0.175% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6540 tsec 14.0170 iter 0, gcam->neg = 138 after 13 iterations, nbhd size=0, neg = 0 #GCMRL# 487 dt 7.923077 rms 0.459 0.179% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.7070 tsec 13.0060 iter 0, gcam->neg = 162 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 488 dt 7.923077 rms 0.459 0.142% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6320 tsec 13.4790 iter 0, gcam->neg = 192 after 15 iterations, nbhd size=0, neg = 0 #GCMRL# 489 dt 7.923077 rms 0.458 0.127% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6240 tsec 13.9610 iter 0, gcam->neg = 226 after 13 iterations, nbhd size=0, neg = 0 #GCMRL# 490 dt 7.923077 rms 0.458 0.126% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6410 tsec 12.9070 iter 0, gcam->neg = 283 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 491 dt 7.923077 rms 0.457 0.128% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6530 tsec 13.4740 iter 0, gcam->neg = 291 after 29 iterations, nbhd size=2, neg = 0 #GCMRL# 492 dt 7.923077 rms 0.457 0.126% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6530 tsec 21.6340 iter 0, gcam->neg = 282 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 493 dt 7.923077 rms 0.456 0.090% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6600 tsec 13.4630 iter 0, gcam->neg = 343 after 15 iterations, nbhd size=0, neg = 0 #GCMRL# 494 dt 7.923077 rms 0.456 -0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.6520 tsec 15.0450 #FOTS# QuadFit found better minimum quadopt=(dt=0.576,rms=0.456084) vs oldopt=(dt=0.72,rms=0.456085) iter 0, gcam->neg = 4 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 495 dt 0.576000 rms 0.456 0.001% neg 0 invalid 762 tFOTS 16.9160 tGradient 3.6500 tsec 30.3810 #FOTS# QuadFit found better minimum quadopt=(dt=1.008,rms=0.456071) vs oldopt=(dt=0.72,rms=0.456072) iter 0, gcam->neg = 5 after 9 iterations, nbhd size=0, neg = 0 #GCMRL# 496 dt 1.008000 rms 0.456 0.003% neg 0 invalid 762 tFOTS 17.8280 tGradient 3.6540 tsec 28.5730 #FOTS# QuadFit found better minimum quadopt=(dt=2.304,rms=0.45606) vs oldopt=(dt=2.88,rms=0.456061) iter 0, gcam->neg = 16 after 5 iterations, nbhd size=0, neg = 0 setting smoothness cost coefficient to 1.000 #GCAMreg# pass 0 level1 1 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=1.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.462496 #GCMRL# 498 dt 0.000000 rms 0.462 0.120% neg 0 invalid 762 tFOTS 16.9730 tGradient 3.4410 tsec 21.5510 #GCAMreg# pass 0 level1 1 level2 1 tsec 48.351 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=1.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.462496 #GCMRL# 500 dt 0.000000 rms 0.462 0.120% neg 0 invalid 762 tFOTS 16.9880 tGradient 3.4420 tsec 21.5550 resetting metric properties... setting smoothness cost coefficient to 2.000 #GCAMreg# pass 0 level1 0 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=2.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.452657 #FOTS# QuadFit found better minimum quadopt=(dt=1.3194,rms=0.431498) vs oldopt=(dt=1.28,rms=0.431519) iter 0, gcam->neg = 2077 after 18 iterations, nbhd size=1, neg = 0 #GCMRL# 502 dt 1.319405 rms 0.428 5.425% neg 0 invalid 762 tFOTS 17.9140 tGradient 2.8080 tsec 32.7710 #GCMRL# 503 dt 0.000013 rms 0.428 0.000% neg 0 invalid 762 tFOTS 22.6130 tGradient 2.8190 tsec 26.5900 #GCAMreg# pass 0 level1 0 level2 1 tsec 68.587 sigma 0.5 l_jacobian=1.00 l_label=1.00 l_log_likelihood=0.20 l_smoothness=2.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.428735 #FOTS# QuadFit found better minimum quadopt=(dt=0,rms=0.428043) vs oldopt=(dt=0,rms=0.428043) #GCMRL# 505 dt 0.000000 rms 0.428 0.161% neg 0 invalid 762 tFOTS 17.0060 tGradient 2.8130 tsec 20.9470 label assignment complete, 0 changed (0.00%) GCAMregister done in 22.1247 min Starting GCAMcomputeMaxPriorLabels() Morphing with label term set to 0 ******************************* Starting GCAMregister() label assignment complete, 0 changed (0.00%) npasses = 1, nlevels = 6 #pass# 1 of 1 ************************ enabling zero nodes setting smoothness cost coefficient to 0.008 #GCAMreg# pass 0 level1 5 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.01 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.421016 #GCAMreg# pass 0 level1 5 level2 1 tsec 28.163 sigma 0.5 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.01 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=256, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.421016 setting smoothness cost coefficient to 0.031 #GCAMreg# pass 0 level1 4 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.03 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.421105 #GCAMreg# pass 0 level1 4 level2 1 tsec 26.968 sigma 0.5 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.03 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=64, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.421105 #FOTS# QuadFit found better minimum quadopt=(dt=2.268,rms=0.421105) vs oldopt=(dt=1.62,rms=0.421105) #GCMRL# 510 dt 2.268000 rms 0.421 0.000% neg 0 invalid 762 tFOTS 17.4160 tGradient 4.1250 tsec 22.6440 #GCMRL# 511 dt 1.620000 rms 0.421 0.000% neg 0 invalid 762 tFOTS 17.4270 tGradient 4.1270 tsec 22.6840 setting smoothness cost coefficient to 0.118 #GCAMreg# pass 0 level1 3 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.12 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.421444 iter 0, gcam->neg = 32 after 14 iterations, nbhd size=1, neg = 0 #GCMRL# 513 dt 8.000000 rms 0.421 0.041% neg 0 invalid 762 tFOTS 17.4480 tGradient 3.4620 tsec 30.6750 #FOTS# QuadFit found better minimum quadopt=(dt=1.6,rms=0.421263) vs oldopt=(dt=2,rms=0.421263) iter 0, gcam->neg = 3 after 3 iterations, nbhd size=0, neg = 0 #GCMRL# 514 dt 1.600000 rms 0.421 0.000% neg 0 invalid 762 tFOTS 17.4520 tGradient 3.4490 tsec 24.7730 iter 0, gcam->neg = 9 after 5 iterations, nbhd size=0, neg = 0 #GCAMreg# pass 0 level1 3 level2 1 tsec 69.017 sigma 0.5 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.12 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=16, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.421261 #FOTS# QuadFit found better minimum quadopt=(dt=44.8,rms=0.419831) vs oldopt=(dt=32,rms=0.419926) iter 0, gcam->neg = 76 after 23 iterations, nbhd size=1, neg = 0 #GCMRL# 516 dt 44.800000 rms 0.420 0.340% neg 0 invalid 762 tFOTS 17.4260 tGradient 3.4610 tsec 35.5700 iter 0, gcam->neg = 68 after 21 iterations, nbhd size=1, neg = 0 #GCMRL# 517 dt 32.000000 rms 0.419 0.000% neg 0 invalid 762 tFOTS 17.4240 tGradient 3.4580 tsec 34.5080 iter 0, gcam->neg = 67 after 19 iterations, nbhd size=1, neg = 0 #GCMRL# 518 dt 32.000000 rms 0.419 0.015% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.4490 tsec 15.9770 iter 0, gcam->neg = 141 after 35 iterations, nbhd size=2, neg = 0 setting smoothness cost coefficient to 0.400 #GCAMreg# pass 0 level1 2 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.40 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.420532 #FOTS# QuadFit found better minimum quadopt=(dt=6.70588,rms=0.419858) vs oldopt=(dt=2.88,rms=0.420034) iter 0, gcam->neg = 96 after 11 iterations, nbhd size=0, neg = 0 #GCMRL# 520 dt 6.705882 rms 0.420 0.168% neg 0 invalid 762 tFOTS 17.4180 tGradient 3.1200 tsec 28.7130 #FOTS# QuadFit found better minimum quadopt=(dt=2.304,rms=0.419797) vs oldopt=(dt=2.88,rms=0.419798) iter 0, gcam->neg = 23 after 18 iterations, nbhd size=1, neg = 0 #GCAMreg# pass 0 level1 2 level2 1 tsec 66.388 sigma 0.5 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=0.40 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=4, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.419828 #FOTS# QuadFit found better minimum quadopt=(dt=22.4793,rms=0.416239) vs oldopt=(dt=11.52,rms=0.417099) iter 0, gcam->neg = 163 after 25 iterations, nbhd size=1, neg = 0 #GCMRL# 522 dt 22.479339 rms 0.416 0.867% neg 0 invalid 762 tFOTS 17.4030 tGradient 3.1240 tsec 36.2920 #FOTS# QuadFit found better minimum quadopt=(dt=8.12371,rms=0.415472) vs oldopt=(dt=11.52,rms=0.415612) iter 0, gcam->neg = 48 after 10 iterations, nbhd size=0, neg = 0 #GCMRL# 523 dt 8.123711 rms 0.415 0.000% neg 0 invalid 762 tFOTS 17.4170 tGradient 3.1270 tsec 28.1770 iter 0, gcam->neg = 48 after 13 iterations, nbhd size=0, neg = 0 #GCMRL# 524 dt 8.123711 rms 0.415 0.140% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.1170 tsec 12.3600 iter 0, gcam->neg = 93 after 14 iterations, nbhd size=0, neg = 0 #GCMRL# 525 dt 8.123711 rms 0.414 0.147% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.1200 tsec 12.8960 iter 0, gcam->neg = 137 after 34 iterations, nbhd size=2, neg = 0 #GCMRL# 526 dt 8.123711 rms 0.414 -0.254% neg 0 invalid 762 tFOTS 0.0000 tGradient 3.1320 tsec 24.8340 #FOTS# QuadFit found better minimum quadopt=(dt=5,rms=0.414201) vs oldopt=(dt=2.88,rms=0.414211) iter 0, gcam->neg = 18 after 17 iterations, nbhd size=1, neg = 0 #GCMRL# 527 dt 5.000000 rms 0.414 0.010% neg 0 invalid 762 tFOTS 17.4020 tGradient 3.1250 tsec 31.9780 #FOTS# QuadFit found better minimum quadopt=(dt=29.0909,rms=0.413764) vs oldopt=(dt=11.52,rms=0.413904) iter 0, gcam->neg = 172 after 22 iterations, nbhd size=1, neg = 0 #GCMRL# 528 dt 29.090909 rms 0.414 0.065% neg 0 invalid 762 tFOTS 17.4090 tGradient 3.1320 tsec 34.7320 iter 0, gcam->neg = 12 after 9 iterations, nbhd size=0, neg = 0 setting smoothness cost coefficient to 1.000 #GCAMreg# pass 0 level1 1 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=1.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.417971 #GCMRL# 530 dt 0.000050 rms 0.418 0.000% neg 0 invalid 762 tFOTS 22.0060 tGradient 2.9190 tsec 26.0290 #GCAMreg# pass 0 level1 1 level2 1 tsec 51.793 sigma 0.5 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=1.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=1, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.417971 resetting metric properties... setting smoothness cost coefficient to 2.000 #GCAMreg# pass 0 level1 0 level2 0 tsec 0 sigma 2 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=2.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=2.0,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=2.000... GCAMRegisterLevel(): init RMS 0.41123 #FOTS# QuadFit found better minimum quadopt=(dt=0.844156,rms=0.404195) vs oldopt=(dt=0.32,rms=0.406828) iter 0, gcam->neg = 1044 after 21 iterations, nbhd size=1, neg = 0 #GCMRL# 533 dt 0.844156 rms 0.404 1.696% neg 0 invalid 762 tFOTS 17.4600 tGradient 2.2740 tsec 33.3960 #FOTS# QuadFit found better minimum quadopt=(dt=0.028,rms=0.404237) vs oldopt=(dt=0.02,rms=0.404239) #GCMRL# 534 dt 0.028000 rms 0.404 0.000% neg 0 invalid 762 tFOTS 17.4480 tGradient 2.2830 tsec 20.8630 #GCMRL# 535 dt 0.028000 rms 0.404 0.000% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2880 tsec 3.3940 #GCAMreg# pass 0 level1 0 level2 1 tsec 66.211 sigma 0.5 l_jacobian=1.00 l_log_likelihood=0.20 l_smoothness=2.00 tol=2.50e-01, dt=5.00e-02, exp_k=20.0, momentum=0.90, levels=6, niter=500, lbl_dist=10.00, avgs=0, sigma=0.5,type=2, relabel=0, neg=yes blurring input image with Gaussian with sigma=0.500... GCAMRegisterLevel(): init RMS 0.404237 #FOTS# QuadFit found better minimum quadopt=(dt=0.384,rms=0.402393) vs oldopt=(dt=0.32,rms=0.40246) iter 0, gcam->neg = 3 after 0 iterations, nbhd size=0, neg = 0 #GCMRL# 537 dt 0.384000 rms 0.402 0.456% neg 0 invalid 762 tFOTS 17.4410 tGradient 2.2850 tsec 21.9200 #FOTS# QuadFit found better minimum quadopt=(dt=0.448,rms=0.400872) vs oldopt=(dt=0.32,rms=0.401068) iter 0, gcam->neg = 32 after 4 iterations, nbhd size=0, neg = 0 #GCMRL# 538 dt 0.448000 rms 0.401 0.373% neg 0 invalid 762 tFOTS 17.4550 tGradient 2.2910 tsec 24.1230 iter 0, gcam->neg = 2 after 1 iterations, nbhd size=0, neg = 0 #GCMRL# 539 dt 0.320000 rms 0.400 0.000% neg 0 invalid 762 tFOTS 17.4180 tGradient 2.2800 tsec 22.4830 iter 0, gcam->neg = 2 after 1 iterations, nbhd size=0, neg = 0 #GCMRL# 540 dt 0.320000 rms 0.400 0.128% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2940 tsec 5.0410 iter 0, gcam->neg = 10 after 4 iterations, nbhd size=0, neg = 0 #GCMRL# 541 dt 0.320000 rms 0.399 0.119% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2840 tsec 6.6600 iter 0, gcam->neg = 28 after 5 iterations, nbhd size=0, neg = 0 #GCMRL# 542 dt 0.320000 rms 0.399 0.050% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2890 tsec 7.2490 #FOTS# QuadFit found better minimum quadopt=(dt=0.112,rms=0.399029) vs oldopt=(dt=0.08,rms=0.399058) #GCMRL# 543 dt 0.112000 rms 0.399 0.000% neg 0 invalid 762 tFOTS 17.4090 tGradient 2.2870 tsec 20.8300 #GCMRL# 544 dt 0.112000 rms 0.399 0.024% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2880 tsec 3.3930 #GCMRL# 545 dt 0.112000 rms 0.399 0.027% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2850 tsec 3.3850 #GCMRL# 546 dt 0.112000 rms 0.399 0.020% neg 0 invalid 762 tFOTS 0.0000 tGradient 2.2860 tsec 3.3830 GCAMregister done in 14.4787 min writing output transformation to transforms/talairach.m3z... GCAMwrite Calls to gcamLogLikelihoodEnergy 4903 tmin = 17.9329 Calls to gcamLabelEnergy 4340 tmin = 1.6724 Calls to gcamJacobianEnergy 4903 tmin = 20.2627 Calls to gcamSmoothnessEnergy 4903 tmin = 15.8759 Calls to gcamLogLikelihoodTerm 548 tmin = 4.55122 Calls to gcamLabelTerm 507 tmin = 6.47537 Calls to gcamJacobianTerm 548 tmin = 10.8946 Calls to gcamSmoothnessTerm 548 tmin = 3.27067 Calls to gcamComputeGradient 548 tmin = 42.4802 Calls to gcamComputeMetricProperties 7374 tmin = 18.0953 mri_ca_register took 2 hours, 14 minutes and 44 seconds. #VMPC# mri_ca_register VmPeak 2093888 FSRUNTIME@ mri_ca_register 2.2454 hours 1 threads #-------------------------------------- #@# SubCort Seg Tue Apr 27 19:33:21 CEST 2021 mri_ca_label -relabel_unlikely 9 .3 -prior 0.5 -align norm.mgz transforms/talairach.m3z /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca aseg.auto_noCCseg.mgz sysname Linux hostname compute-0-2.local machine x86_64 setenv SUBJECTS_DIR /mnt/twork/username/DELCODEM12/fs7/fs cd /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_ca_label -relabel_unlikely 9 .3 -prior 0.5 -align norm.mgz transforms/talairach.m3z /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca aseg.auto_noCCseg.mgz relabeling unlikely voxels with window_size = 9 and prior threshold 0.30 using Gibbs prior factor = 0.500 renormalizing sequences with structure alignment, equivalent to: -renormalize -renormalize_mean 0.500 -regularize 0.500 == Number of threads available to for OpenMP = 1 == reading 1 input volumes reading classifier array from /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca reading input volume from norm.mgz average std[0] = 7.2 reading transform from transforms/talairach.m3z setting orig areas to linear transform determinant scaled 7.24 Atlas used for the 3D morph was /share/apps/freesurfer_7.1/average/RB_all_2020-01-02.gca average std = 7.2 using min determinant for regularization = 5.2 0 singular and 0 ill-conditioned covariance matrices regularized labeling volume... renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.15521 (20) mri peak = 0.20384 (18) Left_Lateral_Ventricle (4): linear fit = 0.96 x + 0.0 (10420 voxels, overlap=0.888) Left_Lateral_Ventricle (4): linear fit = 0.96 x + 0.0 (10420 voxels, peak = 19), gca=19.3 gca peak = 0.20380 (13) mri peak = 0.18225 (18) Right_Lateral_Ventricle (43): linear fit = 1.27 x + 0.0 (8274 voxels, overlap=0.648) Right_Lateral_Ventricle (43): linear fit = 1.27 x + 0.0 (8274 voxels, peak = 17), gca=16.6 gca peak = 0.26283 (96) mri peak = 0.08050 (94) Right_Pallidum (52): linear fit = 0.95 x + 0.0 (372 voxels, overlap=0.461) Right_Pallidum (52): linear fit = 0.95 x + 0.0 (372 voxels, peak = 92), gca=91.7 gca peak = 0.15814 (97) mri peak = 0.08018 (95) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (291 voxels, overlap=1.016) Left_Pallidum (13): linear fit = 1.01 x + 0.0 (291 voxels, peak = 98), gca=98.5 gca peak = 0.27624 (56) mri peak = 0.10008 (68) Right_Hippocampus (53): linear fit = 1.21 x + 0.0 (597 voxels, overlap=0.076) Right_Hippocampus (53): linear fit = 1.21 x + 0.0 (597 voxels, peak = 67), gca=67.5 gca peak = 0.28723 (59) mri peak = 0.08946 (71) Left_Hippocampus (17): linear fit = 1.23 x + 0.0 (633 voxels, overlap=0.020) Left_Hippocampus (17): linear fit = 1.23 x + 0.0 (633 voxels, peak = 72), gca=72.3 gca peak = 0.07623 (103) mri peak = 0.07613 (101) Right_Cerebral_White_Matter (41): linear fit = 0.98 x + 0.0 (31629 voxels, overlap=0.841) Right_Cerebral_White_Matter (41): linear fit = 0.98 x + 0.0 (31629 voxels, peak = 100), gca=100.4 gca peak = 0.07837 (105) mri peak = 0.05956 (103) Left_Cerebral_White_Matter (2): linear fit = 0.99 x + 0.0 (32488 voxels, overlap=0.948) Left_Cerebral_White_Matter (2): linear fit = 0.99 x + 0.0 (32488 voxels, peak = 103), gca=103.4 gca peak = 0.10165 (58) mri peak = 0.04325 (75) Left_Cerebral_Cortex (3): linear fit = 1.35 x + 0.0 (13191 voxels, overlap=0.001) Left_Cerebral_Cortex (3): linear fit = 1.35 x + 0.0 (13191 voxels, peak = 78), gca=78.0 gca peak = 0.11113 (58) mri peak = 0.04877 (75) Right_Cerebral_Cortex (42): linear fit = 1.29 x + 0.0 (12731 voxels, overlap=0.004) Right_Cerebral_Cortex (42): linear fit = 1.29 x + 0.0 (12731 voxels, peak = 75), gca=75.1 gca peak = 0.27796 (67) mri peak = 0.07461 (79) Right_Caudate (50): linear fit = 1.21 x + 0.0 (1527 voxels, overlap=0.062) Right_Caudate (50): linear fit = 1.21 x + 0.0 (1527 voxels, peak = 81), gca=80.7 gca peak = 0.14473 (69) mri peak = 0.06519 (82) Left_Caudate (11): linear fit = 1.10 x + 0.0 (1382 voxels, overlap=0.687) Left_Caudate (11): linear fit = 1.10 x + 0.0 (1382 voxels, peak = 76), gca=75.6 gca peak = 0.14301 (56) mri peak = 0.06664 (70) Left_Cerebellum_Cortex (8): linear fit = 1.26 x + 0.0 (9967 voxels, overlap=0.041) Left_Cerebellum_Cortex (8): linear fit = 1.26 x + 0.0 (9967 voxels, peak = 71), gca=70.8 gca peak = 0.14610 (55) mri peak = 0.06099 (66) Right_Cerebellum_Cortex (47): linear fit = 1.25 x + 0.0 (12472 voxels, overlap=0.099) Right_Cerebellum_Cortex (47): linear fit = 1.25 x + 0.0 (12472 voxels, peak = 68), gca=68.5 gca peak = 0.16309 (85) mri peak = 0.10626 (90) Left_Cerebellum_White_Matter (7): linear fit = 1.07 x + 0.0 (3378 voxels, overlap=0.820) Left_Cerebellum_White_Matter (7): linear fit = 1.07 x + 0.0 (3378 voxels, peak = 91), gca=90.5 gca peak = 0.15172 (84) mri peak = 0.09320 (84) Right_Cerebellum_White_Matter (46): linear fit = 1.02 x + 0.0 (3582 voxels, overlap=0.918) Right_Cerebellum_White_Matter (46): linear fit = 1.02 x + 0.0 (3582 voxels, peak = 86), gca=86.1 gca peak = 0.30461 (58) mri peak = 0.09732 (78) Left_Amygdala (18): linear fit = 1.33 x + 0.0 (411 voxels, overlap=0.053) Left_Amygdala (18): linear fit = 1.33 x + 0.0 (411 voxels, peak = 77), gca=76.9 gca peak = 0.32293 (57) mri peak = 0.08186 (71) Right_Amygdala (54): linear fit = 1.25 x + 0.0 (446 voxels, overlap=0.054) Right_Amygdala (54): linear fit = 1.25 x + 0.0 (446 voxels, peak = 72), gca=71.5 gca peak = 0.11083 (90) mri peak = 0.07865 (84) Left_Thalamus (10): linear fit = 1.00 x + 0.0 (3203 voxels, overlap=0.973) Left_Thalamus (10): linear fit = 1.00 x + 0.0 (3203 voxels, peak = 90), gca=89.6 gca peak = 0.11393 (83) mri peak = 0.08748 (83) Right_Thalamus (49): linear fit = 1.00 x + 0.0 (3269 voxels, overlap=0.979) Right_Thalamus (49): linear fit = 1.00 x + 0.0 (3269 voxels, peak = 83), gca=82.6 gca peak = 0.08575 (81) mri peak = 0.08236 (84) Left_Putamen (12): linear fit = 1.02 x + 0.0 (2153 voxels, overlap=0.927) Left_Putamen (12): linear fit = 1.02 x + 0.0 (2153 voxels, peak = 83), gca=83.0 gca peak = 0.08618 (78) mri peak = 0.07456 (79) Right_Putamen (51): linear fit = 0.99 x + 0.0 (2494 voxels, overlap=0.988) Right_Putamen (51): linear fit = 0.99 x + 0.0 (2494 voxels, peak = 77), gca=76.8 gca peak = 0.08005 (78) mri peak = 0.07207 (84) Brain_Stem (16): linear fit = 1.10 x + 0.0 (11307 voxels, overlap=0.492) Brain_Stem (16): linear fit = 1.10 x + 0.0 (11307 voxels, peak = 85), gca=85.4 gca peak = 0.12854 (88) mri peak = 0.10370 (92) Right_VentralDC (60): linear fit = 1.07 x + 0.0 (877 voxels, overlap=0.781) Right_VentralDC (60): linear fit = 1.07 x + 0.0 (877 voxels, peak = 94), gca=93.7 gca peak = 0.15703 (87) mri peak = 0.08411 (92) Left_VentralDC (28): linear fit = 1.08 x + 0.0 (889 voxels, overlap=0.764) Left_VentralDC (28): linear fit = 1.08 x + 0.0 (889 voxels, peak = 94), gca=93.5 gca peak = 0.17522 (25) mri peak = 0.11603 (23) Third_Ventricle (14): linear fit = 0.89 x + 0.0 (176 voxels, overlap=1.009) Third_Ventricle (14): linear fit = 0.89 x + 0.0 (176 voxels, peak = 22), gca=22.4 gca peak = 0.17113 (14) mri peak = 0.13047 (17) Fourth_Ventricle (15): linear fit = 1.10 x + 0.0 (149 voxels, overlap=0.607) Fourth_Ventricle (15): linear fit = 1.10 x + 0.0 (149 voxels, peak = 15), gca=15.3 gca peak Unknown = 0.94777 ( 0) gca peak Left_Inf_Lat_Vent = 0.16627 (28) gca peak CSF = 0.20346 (36) gca peak Left_Accumbens_area = 0.70646 (62) gca peak Left_undetermined = 1.00000 (28) gca peak Left_vessel = 0.89917 (53) gca peak Left_choroid_plexus = 0.11689 (35) gca peak Right_Inf_Lat_Vent = 0.25504 (23) gca peak Right_Accumbens_area = 0.31650 (65) gca peak Right_vessel = 0.77268 (52) gca peak Right_choroid_plexus = 0.13275 (38) gca peak Fifth_Ventricle = 0.60973 (33) gca peak WM_hypointensities = 0.11013 (77) gca peak non_WM_hypointensities = 0.11354 (41) gca peak Optic_Chiasm = 0.51646 (76) not using caudate to estimate GM means estimating mean gm scale to be 1.28 x + 0.0 estimating mean wm scale to be 0.98 x + 0.0 estimating mean csf scale to be 1.06 x + 0.0 Left_Pallidum too bright - rescaling by 1.004 (from 1.015) to 98.9 (was 98.5) saving intensity scales to aseg.auto_noCCseg.label_intensities.txt renormalizing by structure alignment.... renormalizing input #0 gca peak = 0.17336 (18) mri peak = 0.20384 (18) Left_Lateral_Ventricle (4): linear fit = 0.95 x + 0.0 (10420 voxels, overlap=0.905) Left_Lateral_Ventricle (4): linear fit = 0.95 x + 0.0 (10420 voxels, peak = 17), gca=17.2 gca peak = 0.16231 (16) mri peak = 0.18225 (18) Right_Lateral_Ventricle (43): linear fit = 0.98 x + 0.0 (8274 voxels, overlap=0.667) Right_Lateral_Ventricle (43): linear fit = 0.98 x + 0.0 (8274 voxels, peak = 16), gca=15.6 gca peak = 0.24423 (91) mri peak = 0.08050 (94) Right_Pallidum (52): linear fit = 1.01 x + 0.0 (372 voxels, overlap=1.017) Right_Pallidum (52): linear fit = 1.01 x + 0.0 (372 voxels, peak = 92), gca=92.4 gca peak = 0.15574 (97) mri peak = 0.08018 (95) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (291 voxels, overlap=0.989) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (291 voxels, peak = 95), gca=94.6 gca peak = 0.26245 (67) mri peak = 0.10008 (68) Right_Hippocampus (53): linear fit = 0.99 x + 0.0 (597 voxels, overlap=1.005) Right_Hippocampus (53): linear fit = 0.99 x + 0.0 (597 voxels, peak = 66), gca=66.0 gca peak = 0.29877 (69) mri peak = 0.08946 (71) Left_Hippocampus (17): linear fit = 0.99 x + 0.0 (633 voxels, overlap=1.003) Left_Hippocampus (17): linear fit = 0.99 x + 0.0 (633 voxels, peak = 68), gca=68.0 gca peak = 0.08139 (101) mri peak = 0.07613 (101) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (31629 voxels, overlap=0.892) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (31629 voxels, peak = 100), gca=100.5 gca peak = 0.08327 (103) mri peak = 0.05956 (103) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (32488 voxels, overlap=0.929) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (32488 voxels, peak = 104), gca=103.5 gca peak = 0.07309 (78) mri peak = 0.04325 (75) Left_Cerebral_Cortex (3): linear fit = 0.99 x + 0.0 (13191 voxels, overlap=0.962) Left_Cerebral_Cortex (3): linear fit = 0.99 x + 0.0 (13191 voxels, peak = 77), gca=76.8 gca peak = 0.08626 (75) mri peak = 0.04877 (75) Right_Cerebral_Cortex (42): linear fit = 1.00 x + 0.0 (12731 voxels, overlap=0.957) Right_Cerebral_Cortex (42): linear fit = 1.00 x + 0.0 (12731 voxels, peak = 75), gca=75.0 gca peak = 0.20996 (81) mri peak = 0.07461 (79) Right_Caudate (50): linear fit = 0.99 x + 0.0 (1527 voxels, overlap=0.998) Right_Caudate (50): linear fit = 0.99 x + 0.0 (1527 voxels, peak = 80), gca=79.8 gca peak = 0.14706 (85) mri peak = 0.06519 (82) Left_Caudate (11): linear fit = 1.00 x + 0.0 (1382 voxels, overlap=1.001) Left_Caudate (11): linear fit = 1.00 x + 0.0 (1382 voxels, peak = 85), gca=85.0 gca peak = 0.10890 (70) mri peak = 0.06664 (70) Left_Cerebellum_Cortex (8): linear fit = 0.99 x + 0.0 (9967 voxels, overlap=0.970) Left_Cerebellum_Cortex (8): linear fit = 0.99 x + 0.0 (9967 voxels, peak = 69), gca=69.0 gca peak = 0.12805 (69) mri peak = 0.06099 (66) Right_Cerebellum_Cortex (47): linear fit = 0.99 x + 0.0 (12472 voxels, overlap=0.976) Right_Cerebellum_Cortex (47): linear fit = 0.99 x + 0.0 (12472 voxels, peak = 68), gca=68.0 gca peak = 0.15248 (90) mri peak = 0.10626 (90) Left_Cerebellum_White_Matter (7): linear fit = 1.00 x + 0.0 (3378 voxels, overlap=0.981) Left_Cerebellum_White_Matter (7): linear fit = 1.00 x + 0.0 (3378 voxels, peak = 90), gca=89.6 gca peak = 0.15236 (86) mri peak = 0.09320 (84) Right_Cerebellum_White_Matter (46): linear fit = 1.00 x + 0.0 (3582 voxels, overlap=0.970) Right_Cerebellum_White_Matter (46): linear fit = 1.00 x + 0.0 (3582 voxels, peak = 86), gca=86.0 gca peak = 0.28184 (77) mri peak = 0.09732 (78) Left_Amygdala (18): linear fit = 0.99 x + 0.0 (411 voxels, overlap=1.000) Left_Amygdala (18): linear fit = 0.99 x + 0.0 (411 voxels, peak = 76), gca=75.8 gca peak = 0.28852 (72) mri peak = 0.08186 (71) Right_Amygdala (54): linear fit = 1.00 x + 0.0 (446 voxels, overlap=1.011) Right_Amygdala (54): linear fit = 1.00 x + 0.0 (446 voxels, peak = 72), gca=72.0 gca peak = 0.10374 (89) mri peak = 0.07865 (84) Left_Thalamus (10): linear fit = 0.99 x + 0.0 (3203 voxels, overlap=0.970) Left_Thalamus (10): linear fit = 0.99 x + 0.0 (3203 voxels, peak = 88), gca=87.7 gca peak = 0.10245 (80) mri peak = 0.08748 (83) Right_Thalamus (49): linear fit = 1.00 x + 0.0 (3269 voxels, overlap=0.972) Right_Thalamus (49): linear fit = 1.00 x + 0.0 (3269 voxels, peak = 80), gca=79.6 gca peak = 0.08571 (83) mri peak = 0.08236 (84) Left_Putamen (12): linear fit = 1.00 x + 0.0 (2153 voxels, overlap=0.943) Left_Putamen (12): linear fit = 1.00 x + 0.0 (2153 voxels, peak = 83), gca=83.0 gca peak = 0.09501 (76) mri peak = 0.07456 (79) Right_Putamen (51): linear fit = 1.01 x + 0.0 (2494 voxels, overlap=0.995) Right_Putamen (51): linear fit = 1.01 x + 0.0 (2494 voxels, peak = 77), gca=77.1 gca peak = 0.08431 (86) mri peak = 0.07207 (84) Brain_Stem (16): linear fit = 1.01 x + 0.0 (11307 voxels, overlap=0.812) Brain_Stem (16): linear fit = 1.01 x + 0.0 (11307 voxels, peak = 87), gca=87.3 gca peak = 0.12772 (95) mri peak = 0.10370 (92) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (877 voxels, overlap=0.859) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (877 voxels, peak = 95), gca=95.0 gca peak = 0.15379 (92) mri peak = 0.08411 (92) Left_VentralDC (28): linear fit = 0.99 x + 0.0 (889 voxels, overlap=0.936) Left_VentralDC (28): linear fit = 0.99 x + 0.0 (889 voxels, peak = 91), gca=90.6 gca peak = 0.19734 (23) mri peak = 0.11603 (23) Third_Ventricle (14): linear fit = 1.00 x + 0.0 (176 voxels, overlap=1.009) Third_Ventricle (14): linear fit = 1.00 x + 0.0 (176 voxels, peak = 23), gca=23.0 gca peak = 0.19645 (16) mri peak = 0.13047 (17) Fourth_Ventricle (15): linear fit = 1.10 x + 0.0 (149 voxels, overlap=0.762) Fourth_Ventricle (15): linear fit = 1.10 x + 0.0 (149 voxels, peak = 18), gca=17.5 gca peak Unknown = 0.94777 ( 0) gca peak Left_Inf_Lat_Vent = 0.17411 (34) gca peak CSF = 0.20346 (38) gca peak Left_Accumbens_area = 0.45461 (68) gca peak Left_undetermined = 1.00000 (28) gca peak Left_vessel = 0.89837 (53) gca peak Left_choroid_plexus = 0.11687 (35) gca peak Right_Inf_Lat_Vent = 0.26261 (28) gca peak Right_Accumbens_area = 0.30585 (78) gca peak Right_vessel = 0.77268 (52) gca peak Right_choroid_plexus = 0.13275 (38) gca peak Fifth_Ventricle = 0.60973 (35) gca peak WM_hypointensities = 0.10723 (75) gca peak non_WM_hypointensities = 0.14635 (40) gca peak Optic_Chiasm = 0.52821 (76) not using caudate to estimate GM means estimating mean gm scale to be 0.99 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 1.01 x + 0.0 saving intensity scales to aseg.auto_noCCseg.label_intensities.txt saving sequentially combined intensity scales to aseg.auto_noCCseg.label_intensities.txt 73966 voxels changed in iteration 0 of unlikely voxel relabeling 279 voxels changed in iteration 1 of unlikely voxel relabeling 1 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 72853 gm and wm labels changed (%32 to gray, %68 to white out of all changed labels) 353 hippocampal voxels changed. 0 amygdala voxels changed. Reclassifying using Gibbs Priors pass 1: 85147 changed. image ll: -2.097, PF=0.500 pass 2: 21416 changed. image ll: -2.096, PF=0.500 pass 3: 6229 changed. pass 4: 2379 changed. 62385 voxels changed in iteration 0 of unlikely voxel relabeling 464 voxels changed in iteration 1 of unlikely voxel relabeling 27 voxels changed in iteration 2 of unlikely voxel relabeling 9 voxels changed in iteration 3 of unlikely voxel relabeling 0 voxels changed in iteration 4 of unlikely voxel relabeling 6652 voxels changed in iteration 0 of unlikely voxel relabeling 140 voxels changed in iteration 1 of unlikely voxel relabeling 10 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 6049 voxels changed in iteration 0 of unlikely voxel relabeling 52 voxels changed in iteration 1 of unlikely voxel relabeling 1 voxels changed in iteration 2 of unlikely voxel relabeling 0 voxels changed in iteration 3 of unlikely voxel relabeling 4289 voxels changed in iteration 0 of unlikely voxel relabeling 37 voxels changed in iteration 1 of unlikely voxel relabeling 0 voxels changed in iteration 2 of unlikely voxel relabeling !!!!!!!!! ventricle segment 0 with volume 25619 above threshold 100 - not erasing !!!!!!!!!! !!!!!!!!! ventricle segment 0 with volume 1625 above threshold 100 - not erasing !!!!!!!!!! !!!!!!!!! ventricle segment 6 with volume 20703 above threshold 100 - not erasing !!!!!!!!!! !!!!!!!!! ventricle segment 1 with volume 810 above threshold 100 - not erasing !!!!!!!!!! writing labeled volume to aseg.auto_noCCseg.mgz mri_ca_label utimesec 2677.609941 mri_ca_label stimesec 1.462777 mri_ca_label ru_maxrss 2135952 mri_ca_label ru_ixrss 0 mri_ca_label ru_idrss 0 mri_ca_label ru_isrss 0 mri_ca_label ru_minflt 369842 mri_ca_label ru_majflt 0 mri_ca_label ru_nswap 0 mri_ca_label ru_inblock 0 mri_ca_label ru_oublock 680 mri_ca_label ru_msgsnd 0 mri_ca_label ru_msgrcv 0 mri_ca_label ru_nsignals 0 mri_ca_label ru_nvcsw 137 mri_ca_label ru_nivcsw 271659 auto-labeling took 44 minutes and 41 seconds. #-------------------------------------- #@# CC Seg Tue Apr 27 20:18:02 CEST 2021 mri_cc -aseg aseg.auto_noCCseg.mgz -o aseg.auto.mgz -lta /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/transforms/cc_up.lta 81489f2bb-M12_T1_01 will read input aseg from aseg.auto_noCCseg.mgz writing aseg with cc labels to aseg.auto.mgz will write lta as /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/transforms/cc_up.lta reading aseg from /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/aseg.auto_noCCseg.mgz reading norm from /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/norm.mgz 46968 voxels in left wm, 54206 in right wm, xrange [118, 131] searching rotation angles z=[-5 9], y=[-11 3] searching scale 1 Z rot -5.5 searching scale 1 Z rot -5.2 searching scale 1 Z rot -5.0 searching scale 1 Z rot -4.7 searching scale 1 Z rot -4.5 searching scale 1 Z rot -4.2 searching scale 1 Z rot -4.0 searching scale 1 Z rot -3.7 searching scale 1 Z rot -3.5 searching scale 1 Z rot -3.2 searching scale 1 Z rot -3.0 searching scale 1 Z rot -2.7 searching scale 1 Z rot -2.5 searching scale 1 Z rot -2.2 searching scale 1 Z rot -2.0 searching scale 1 Z rot -1.7 searching scale 1 Z rot -1.5 searching scale 1 Z rot -1.2 searching scale 1 Z rot -1.0 searching scale 1 Z rot -0.7 searching scale 1 Z rot -0.5 searching scale 1 Z rot -0.2 searching scale 1 Z rot 0.0 searching scale 1 Z rot 0.3 searching scale 1 Z rot 0.5 searching scale 1 Z rot 0.8 searching scale 1 Z rot 1.0 searching scale 1 Z rot 1.3 searching scale 1 Z rot 1.5 searching scale 1 Z rot 1.8 searching scale 1 Z rot 2.0 searching scale 1 Z rot 2.3 searching scale 1 Z rot 2.5 searching scale 1 Z rot 2.8 searching scale 1 Z rot 3.0 searching scale 1 Z rot 3.3 searching scale 1 Z rot 3.5 searching scale 1 Z rot 3.8 searching scale 1 Z rot 4.0 searching scale 1 Z rot 4.3 searching scale 1 Z rot 4.5 searching scale 1 Z rot 4.8 searching scale 1 Z rot 5.0 searching scale 1 Z rot 5.3 searching scale 1 Z rot 5.5 searching scale 1 Z rot 5.8 searching scale 1 Z rot 6.0 searching scale 1 Z rot 6.3 searching scale 1 Z rot 6.5 searching scale 1 Z rot 6.8 searching scale 1 Z rot 7.0 searching scale 1 Z rot 7.3 searching scale 1 Z rot 7.5 searching scale 1 Z rot 7.8 searching scale 1 Z rot 8.0 searching scale 1 Z rot 8.3 searching scale 1 Z rot 8.5 global minimum found at slice 124.0, rotations (-3.80, 1.78) final transformation (x=124.0, yr=-3.798, zr=1.776): 0.99732 -0.03100 -0.06621 13.06870; 0.03093 0.99952 -0.00205 60.40512; 0.06624 0.00000 0.99780 18.01032; 0.00000 0.00000 0.00000 1.00000; updating x range to be [126, 131] in xformed coordinates best xformed slice 128 min_x_fornix = 130 min_x_fornix = 137 min_x_fornix = 136 min_x_fornix = 131 min_x_fornix = 131 cc center is found at 128 64 102 eigenvectors: 0.00060 0.00223 1.00000; -0.18232 -0.98324 0.00230; 0.98324 -0.18232 -0.00018; error in mid anterior detected - correcting... writing aseg with callosum to /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri/aseg.auto.mgz... corpus callosum segmentation took 0.7 minutes #VMPC# mri_cc VmPeak 547784 mri_cc done #-------------------------------------- #@# Merge ASeg Tue Apr 27 20:18:45 CEST 2021 cp aseg.auto.mgz aseg.presurf.mgz #-------------------------------------------- #@# Intensity Normalization2 Tue Apr 27 20:18:45 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_normalize -seed 1234 -mprage -aseg aseg.presurf.mgz -mask brainmask.mgz norm.mgz brain.mgz setting seed for random number genererator to 1234 assuming input volume is MGH (Van der Kouwe) MP-RAGE using segmentation for initial intensity normalization using MR volume brainmask.mgz to mask input volume... reading mri_src from norm.mgz... MRImask(): AllowDiffGeom = 1 Reading aseg aseg.presurf.mgz normalizing image... processing with aseg removing outliers in the aseg WM... 2607 control points removed Building bias image building Voronoi diagram... performing soap bubble smoothing, sigma = 0... Smoothing with sigma 8 Applying bias correction building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Iterating 2 times --------------------------------- 3d normalization pass 1 of 2 white matter peak found at 110 white matter peak found at 90 gm peak at 62 (62), valley at 7 (7) csf peak at 10, setting threshold to 44 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... --------------------------------- 3d normalization pass 2 of 2 white matter peak found at 111 white matter peak found at 109 gm peak at 83 (83), valley at 49 (49) csf peak at 19, setting threshold to 61 building Voronoi diagram... performing soap bubble smoothing, sigma = 8... Done iterating --------------------------------- writing output to brain.mgz 3D bias adjustment took 2 minutes and 41 seconds. #-------------------------------------------- #@# Mask BFS Tue Apr 27 20:21:29 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_mask -T 5 brain.mgz brainmask.mgz brain.finalsurfs.mgz threshold mask volume at 5 DoAbs = 0 Found 1359159 voxels in mask (pct= 8.10) MRImask(): AllowDiffGeom = 1 Writing masked volume to brain.finalsurfs.mgz...done. #-------------------------------------------- #@# WM Segmentation Tue Apr 27 20:21:30 CEST 2021 AntsDenoiseImageFs -i brain.mgz -o antsdn.brain.mgz mri_segment -wsizemm 13 -mprage antsdn.brain.mgz wm.seg.mgz wsizemm = 13, voxres = 1, wsize = 13 WHITE_MATTER_MEAN 110 wsize 13 assuming input volume is MGH (Van der Kouwe) MP-RAGE wm_low 79 wm_hi 125 gray_low 30 gray_hi 99 Doing initial trinary intensity segmentation Using local statistics to label ambiguous voxels Autodetecting stats Computing class statistics for intensity windows... CCS WM (102.0): 102.1 +- 5.4 [79.0 --> 122.0] CCS GM (80.0) : 78.2 +- 11.1 [30.0 --> 95.0] white_mean 102.083 white_sigma 5.41217 gray_mean 78.1944 gray_sigma 11.0661 setting bottom of white matter range wm_low to 89.3 setting top of gray matter range gray_hi to 100.3 wm_low 89.2604 wm_hi 125 gray_low 30 gray_hi 100.327 Redoing initial intensity segmentation... Recomputing local statistics to label ambiguous voxels... wm_low 89.2604 wm_hi 125 gray_low 30 gray_hi 100.327 using local geometry to label remaining ambiguous voxels... polvwsize = 5, polvlen = 3, gray_hi = 100.327, wm_low = 89.2604 MRIcpolvMedianCurveSegment(): wsize=5, len=3, gmhi=100.327, wmlow=89.2604 130157 voxels processed (0.78%) 64101 voxels white (0.38%) 66056 voxels non-white (0.39%) Reclassifying voxels using Gaussian border classifier niter=1 MRIreclassify(): wm_low=84.2604, gray_hi=100.327, wsize=13 309720 voxels tested (1.85%) 52981 voxels changed (0.32%) 44149 multi-scale searches (0.26%) Recovering bright white MRIrecoverBrightWhite() wm_low 89.2604 wm_hi 125 slack 5.41217 pct_thresh 0.33 intensity_thresh 130.412 nvox_thresh 8.58 0 voxels tested (0.00%) 0 voxels changed (0.00%) removing voxels with positive offset direction... MRIremoveWrongDirection() wsize=3, lowthr=84.2604, hithr=100.327 smoothing input volume with sigma = 0.250 146530 voxels tested (0.87%) 18610 voxels changed (0.11%) thicken = 1 removing 1-dimensional structures... MRIremove1dStructures(): max_iter=10000, thresh=2, WM_MIN_VAL=5 3745 sparsely connected voxels removed in 1 iterations thickening thin strands.... thickness 4 nsegments 20 wm_hi 125 2934 diagonally connected voxels added... MRIthickenThinWMStrands(): thickness=4, nsegments=20 20 segments, 4735 filled MRIfindBrightNonWM(): 0 bright non-wm voxels segmented. MRIfilterMorphology() WM_MIN_VAL=5, DIAGONAL_FILL=230 white matter segmentation took 1.3 minutes writing output to wm.seg.mgz... mri_edit_wm_with_aseg -keep-in wm.seg.mgz brain.mgz aseg.presurf.mgz wm.asegedit.mgz preserving editing changes in input volume... auto filling took 0.50 minutes reading wm segmentation from wm.seg.mgz... 0 voxels added to wm to prevent paths from MTL structures to cortex 17764 additional wm voxels added 0 additional wm voxels added SEG EDIT: 152668 voxels turned on, 23357 voxels turned off. propagating editing to output volume from wm.seg.mgz 115,126,128 old 0 new 0 115,126,128 old 0 new 0 writing edited volume to wm.asegedit.mgz.... mri_pretess wm.asegedit.mgz wm norm.mgz wm.mgz Iteration Number : 1 pass 1 (xy+): 56 found - 56 modified | TOTAL: 56 pass 2 (xy+): 0 found - 56 modified | TOTAL: 56 pass 1 (xy-): 64 found - 64 modified | TOTAL: 120 pass 2 (xy-): 0 found - 64 modified | TOTAL: 120 pass 1 (yz+): 65 found - 65 modified | TOTAL: 185 pass 2 (yz+): 0 found - 65 modified | TOTAL: 185 pass 1 (yz-): 81 found - 81 modified | TOTAL: 266 pass 2 (yz-): 0 found - 81 modified | TOTAL: 266 pass 1 (xz+): 50 found - 50 modified | TOTAL: 316 pass 2 (xz+): 0 found - 50 modified | TOTAL: 316 pass 1 (xz-): 62 found - 62 modified | TOTAL: 378 pass 2 (xz-): 0 found - 62 modified | TOTAL: 378 Iteration Number : 1 pass 1 (+++): 15 found - 15 modified | TOTAL: 15 pass 2 (+++): 0 found - 15 modified | TOTAL: 15 pass 1 (+++): 15 found - 15 modified | TOTAL: 30 pass 2 (+++): 0 found - 15 modified | TOTAL: 30 pass 1 (+++): 10 found - 10 modified | TOTAL: 40 pass 2 (+++): 0 found - 10 modified | TOTAL: 40 pass 1 (+++): 20 found - 20 modified | TOTAL: 60 pass 2 (+++): 0 found - 20 modified | TOTAL: 60 Iteration Number : 1 pass 1 (++): 130 found - 130 modified | TOTAL: 130 pass 2 (++): 0 found - 130 modified | TOTAL: 130 pass 1 (+-): 109 found - 109 modified | TOTAL: 239 pass 2 (+-): 0 found - 109 modified | TOTAL: 239 pass 1 (--): 136 found - 136 modified | TOTAL: 375 pass 2 (--): 0 found - 136 modified | TOTAL: 375 pass 1 (-+): 145 found - 145 modified | TOTAL: 520 pass 2 (-+): 0 found - 145 modified | TOTAL: 520 Iteration Number : 2 pass 1 (xy+): 2 found - 2 modified | TOTAL: 2 pass 2 (xy+): 0 found - 2 modified | TOTAL: 2 pass 1 (xy-): 9 found - 9 modified | TOTAL: 11 pass 2 (xy-): 0 found - 9 modified | TOTAL: 11 pass 1 (yz+): 11 found - 11 modified | TOTAL: 22 pass 2 (yz+): 0 found - 11 modified | TOTAL: 22 pass 1 (yz-): 11 found - 11 modified | TOTAL: 33 pass 2 (yz-): 0 found - 11 modified | TOTAL: 33 pass 1 (xz+): 7 found - 7 modified | TOTAL: 40 pass 2 (xz+): 0 found - 7 modified | TOTAL: 40 pass 1 (xz-): 8 found - 8 modified | TOTAL: 48 pass 2 (xz-): 0 found - 8 modified | TOTAL: 48 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 4 found - 4 modified | TOTAL: 4 pass 2 (+++): 0 found - 4 modified | TOTAL: 4 pass 1 (+++): 2 found - 2 modified | TOTAL: 6 pass 2 (+++): 0 found - 2 modified | TOTAL: 6 pass 1 (+++): 0 found - 0 modified | TOTAL: 6 Iteration Number : 2 pass 1 (++): 3 found - 3 modified | TOTAL: 3 pass 2 (++): 0 found - 3 modified | TOTAL: 3 pass 1 (+-): 5 found - 5 modified | TOTAL: 8 pass 2 (+-): 0 found - 5 modified | TOTAL: 8 pass 1 (--): 4 found - 4 modified | TOTAL: 12 pass 2 (--): 0 found - 4 modified | TOTAL: 12 pass 1 (-+): 3 found - 3 modified | TOTAL: 15 pass 2 (-+): 0 found - 3 modified | TOTAL: 15 Iteration Number : 3 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 2 found - 2 modified | TOTAL: 2 pass 2 (xy-): 0 found - 2 modified | TOTAL: 2 pass 1 (yz+): 2 found - 2 modified | TOTAL: 4 pass 2 (yz+): 0 found - 2 modified | TOTAL: 4 pass 1 (yz-): 3 found - 3 modified | TOTAL: 7 pass 2 (yz-): 0 found - 3 modified | TOTAL: 7 pass 1 (xz+): 0 found - 0 modified | TOTAL: 7 pass 1 (xz-): 1 found - 1 modified | TOTAL: 8 pass 2 (xz-): 0 found - 1 modified | TOTAL: 8 Iteration Number : 3 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 3 pass 1 (++): 1 found - 1 modified | TOTAL: 1 pass 2 (++): 0 found - 1 modified | TOTAL: 1 pass 1 (+-): 0 found - 0 modified | TOTAL: 1 pass 1 (--): 0 found - 0 modified | TOTAL: 1 pass 1 (-+): 0 found - 0 modified | TOTAL: 1 Iteration Number : 4 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 4 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 1036 (out of 497498: 0.208242) binarizing input wm segmentation... Ambiguous edge configurations... mri_pretess done #-------------------------------------------- #@# Fill Tue Apr 27 20:23:56 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/mri mri_fill -a ../scripts/ponscc.cut.log -xform transforms/talairach.lta -segmentation aseg.presurf.mgz wm.mgz filled.mgz logging cutting plane coordinates to ../scripts/ponscc.cut.log... INFO: Using transforms/talairach.lta and its offset for Talairach volume ... using segmentation aseg.presurf.mgz... reading input volume...done. searching for cutting planes...voxel to talairach voxel transform 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41440; 0.08438 -0.22200 0.97179 8.91132; 0.00000 0.00000 0.00000 1.00000; voxel to talairach voxel transform 1.00027 -0.04688 -0.08144 11.98642; 0.06202 1.06842 0.24993 -3.41440; 0.08438 -0.22200 0.97179 8.91132; 0.00000 0.00000 0.00000 1.00000; reading segmented volume aseg.presurf.mgz removing CC from segmentation Looking for area (min, max) = (350, 1400) area[0] = 1716 (min = 350, max = 1400), aspect = 0.45 (min = 0.10, max = 0.75) need search nearby using seed (123, 126, 158), TAL = (5.0, 30.0, 2.0) talairach voxel to voxel transform 0.99040 0.05762 0.06818 -12.28223; -0.03548 0.88642 -0.23095 5.50983; -0.09410 0.19750 0.97035 -6.84483; 0.00000 0.00000 0.00000 1.00000; segmentation indicates cc at (123, 126, 158) --> (5.0, 30.0, 2.0) done. writing output to filled.mgz... filling took 1.1 minutes talairach cc position changed to (5.00, 30.00, 2.00) Erasing brainstem...done. MRImask(): AllowDiffGeom = 1 seed_search_size = 9, min_neighbors = 5 search rh wm seed point around talairach space:(23.00, 30.00, 2.00) SRC: (109.74, 76.98, 161.47) search lh wm seed point around talairach space (-13.00, 30.00, 2.00), SRC: (145.40, 75.71, 158.09) compute mri_fill using aseg Erasing Brain Stem and Cerebellum ... Define left and right masks using aseg: Building Voronoi diagram ... Using the Voronoi diagram for separating WM into two hemispheres ... Find the largest connected component for each hemisphere ... #-------------------------------------------- #@# Tessellate lh Tue Apr 27 20:25:00 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mri_pretess ../mri/filled.mgz 255 ../mri/norm.mgz ../mri/filled-pretess255.mgz Iteration Number : 1 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 6 found - 6 modified | TOTAL: 6 pass 2 (yz+): 0 found - 6 modified | TOTAL: 6 pass 1 (yz-): 2 found - 2 modified | TOTAL: 8 pass 2 (yz-): 0 found - 2 modified | TOTAL: 8 pass 1 (xz+): 0 found - 0 modified | TOTAL: 8 pass 1 (xz-): 0 found - 0 modified | TOTAL: 8 Iteration Number : 1 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 1 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 3 found - 3 modified | TOTAL: 3 pass 2 (--): 0 found - 3 modified | TOTAL: 3 pass 1 (-+): 0 found - 0 modified | TOTAL: 3 Iteration Number : 2 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 1 found - 1 modified | TOTAL: 1 pass 2 (yz+): 0 found - 1 modified | TOTAL: 1 pass 1 (yz-): 0 found - 0 modified | TOTAL: 1 pass 1 (xz+): 0 found - 0 modified | TOTAL: 1 pass 1 (xz-): 0 found - 0 modified | TOTAL: 1 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Iteration Number : 3 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 3 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 3 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 12 (out of 243941: 0.004919) Ambiguous edge configurations... mri_pretess done mri_tessellate ../mri/filled-pretess255.mgz 255 ../surf/lh.orig.nofix 7.1.1 7.1.1 slice 40: 811 vertices, 894 faces slice 50: 5610 vertices, 5830 faces slice 60: 14579 vertices, 14926 faces slice 70: 24443 vertices, 24742 faces slice 80: 34031 vertices, 34381 faces slice 90: 44060 vertices, 44430 faces slice 100: 55079 vertices, 55482 faces slice 110: 65499 vertices, 65887 faces slice 120: 76055 vertices, 76451 faces slice 130: 85984 vertices, 86345 faces slice 140: 94817 vertices, 95151 faces slice 150: 102088 vertices, 102407 faces slice 160: 109071 vertices, 109344 faces slice 170: 115448 vertices, 115710 faces slice 180: 120496 vertices, 120697 faces slice 190: 123091 vertices, 123196 faces slice 200: 123282 vertices, 123342 faces slice 210: 123282 vertices, 123342 faces slice 220: 123282 vertices, 123342 faces slice 230: 123282 vertices, 123342 faces slice 240: 123282 vertices, 123342 faces slice 250: 123282 vertices, 123342 faces using the conformed surface RAS to save vertex points... writing ../surf/lh.orig.nofix using vox2ras matrix: -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; rm -f ../mri/filled-pretess255.mgz mris_extract_main_component ../surf/lh.orig.nofix ../surf/lh.orig.nofix counting number of connected components... 123282 voxel in cpt #1: X=-60 [v=123282,e=370026,f=246684] located at (-23.521000, -20.822245, 49.858253) For the whole surface: X=-60 [v=123282,e=370026,f=246684] One single component has been found nothing to do done #-------------------------------------------- #@# Tessellate rh Tue Apr 27 20:25:04 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mri_pretess ../mri/filled.mgz 127 ../mri/norm.mgz ../mri/filled-pretess127.mgz Iteration Number : 1 pass 1 (xy+): 1 found - 1 modified | TOTAL: 1 pass 2 (xy+): 0 found - 1 modified | TOTAL: 1 pass 1 (xy-): 2 found - 2 modified | TOTAL: 3 pass 2 (xy-): 0 found - 2 modified | TOTAL: 3 pass 1 (yz+): 4 found - 4 modified | TOTAL: 7 pass 2 (yz+): 0 found - 4 modified | TOTAL: 7 pass 1 (yz-): 5 found - 5 modified | TOTAL: 12 pass 2 (yz-): 0 found - 5 modified | TOTAL: 12 pass 1 (xz+): 1 found - 1 modified | TOTAL: 13 pass 2 (xz+): 0 found - 1 modified | TOTAL: 13 pass 1 (xz-): 1 found - 1 modified | TOTAL: 14 pass 2 (xz-): 0 found - 1 modified | TOTAL: 14 Iteration Number : 1 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 1 pass 1 (++): 1 found - 1 modified | TOTAL: 1 pass 2 (++): 0 found - 1 modified | TOTAL: 1 pass 1 (+-): 1 found - 1 modified | TOTAL: 2 pass 2 (+-): 0 found - 1 modified | TOTAL: 2 pass 1 (--): 0 found - 0 modified | TOTAL: 2 pass 1 (-+): 1 found - 1 modified | TOTAL: 3 pass 2 (-+): 0 found - 1 modified | TOTAL: 3 Iteration Number : 2 pass 1 (xy+): 0 found - 0 modified | TOTAL: 0 pass 1 (xy-): 0 found - 0 modified | TOTAL: 0 pass 1 (yz+): 0 found - 0 modified | TOTAL: 0 pass 1 (yz-): 0 found - 0 modified | TOTAL: 0 pass 1 (xz+): 0 found - 0 modified | TOTAL: 0 pass 1 (xz-): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 pass 1 (+++): 0 found - 0 modified | TOTAL: 0 Iteration Number : 2 pass 1 (++): 0 found - 0 modified | TOTAL: 0 pass 1 (+-): 0 found - 0 modified | TOTAL: 0 pass 1 (--): 0 found - 0 modified | TOTAL: 0 pass 1 (-+): 0 found - 0 modified | TOTAL: 0 Total Number of Modified Voxels = 17 (out of 240358: 0.007073) Ambiguous edge configurations... mri_pretess done mri_tessellate ../mri/filled-pretess127.mgz 127 ../surf/rh.orig.nofix 7.1.1 7.1.1 slice 40: 66 vertices, 82 faces slice 50: 2443 vertices, 2600 faces slice 60: 8127 vertices, 8405 faces slice 70: 17091 vertices, 17425 faces slice 80: 27058 vertices, 27383 faces slice 90: 37038 vertices, 37375 faces slice 100: 47075 vertices, 47446 faces slice 110: 57436 vertices, 57841 faces slice 120: 67932 vertices, 68301 faces slice 130: 78334 vertices, 78777 faces slice 140: 88006 vertices, 88404 faces slice 150: 96672 vertices, 97009 faces slice 160: 104169 vertices, 104419 faces slice 170: 110755 vertices, 111014 faces slice 180: 116159 vertices, 116361 faces slice 190: 119830 vertices, 119980 faces slice 200: 120370 vertices, 120422 faces slice 210: 120370 vertices, 120422 faces slice 220: 120370 vertices, 120422 faces slice 230: 120370 vertices, 120422 faces slice 240: 120370 vertices, 120422 faces slice 250: 120370 vertices, 120422 faces using the conformed surface RAS to save vertex points... writing ../surf/rh.orig.nofix using vox2ras matrix: -1.00000 0.00000 0.00000 128.00000; 0.00000 0.00000 1.00000 -128.00000; 0.00000 -1.00000 0.00000 128.00000; 0.00000 0.00000 0.00000 1.00000; rm -f ../mri/filled-pretess127.mgz mris_extract_main_component ../surf/rh.orig.nofix ../surf/rh.orig.nofix counting number of connected components... 120370 voxel in cpt #1: X=-52 [v=120370,e=361266,f=240844] located at (29.741297, -15.276240, 46.522732) For the whole surface: X=-52 [v=120370,e=361266,f=240844] One single component has been found nothing to do done #-------------------------------------------- #@# Smooth1 lh Tue Apr 27 20:25:08 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mris_smooth -nw -seed 1234 ../surf/lh.orig.nofix ../surf/lh.smoothwm.nofix setting seed for random number generator to 1234 smoothing surface tessellation for 10 iterations... smoothing complete - recomputing first and second fundamental forms... #-------------------------------------------- #@# Smooth1 rh Tue Apr 27 20:25:11 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mris_smooth -nw -seed 1234 ../surf/rh.orig.nofix ../surf/rh.smoothwm.nofix setting seed for random number generator to 1234 smoothing surface tessellation for 10 iterations... smoothing complete - recomputing first and second fundamental forms... #-------------------------------------------- #@# Inflation1 lh Tue Apr 27 20:25:14 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mris_inflate -no-save-sulc ../surf/lh.smoothwm.nofix ../surf/lh.inflated.nofix Not saving sulc Reading ../surf/lh.smoothwm.nofix avg radius = 45.7 mm, total surface area = 64654 mm^2 step 000: RMS=0.161 (target=0.015) step 005: RMS=0.121 (target=0.015) step 010: RMS=0.092 (target=0.015) step 015: RMS=0.079 (target=0.015) step 020: RMS=0.071 (target=0.015) step 025: RMS=0.064 (target=0.015) step 030: RMS=0.060 (target=0.015) step 035: RMS=0.059 (target=0.015) step 040: RMS=0.057 (target=0.015) step 045: RMS=0.056 (target=0.015) step 050: RMS=0.056 (target=0.015) step 055: RMS=0.056 (target=0.015) step 060: RMS=0.056 (target=0.015) writing inflated surface to ../surf/lh.inflated.nofix inflation took 0.3 minutes inflation complete. Not saving sulc mris_inflate utimesec 18.140242 mris_inflate stimesec 0.981850 mris_inflate ru_maxrss 196284 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 509781 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 8680 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 360 mris_inflate ru_nivcsw 1938 #-------------------------------------------- #@# Inflation1 rh Tue Apr 27 20:25:33 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mris_inflate -no-save-sulc ../surf/rh.smoothwm.nofix ../surf/rh.inflated.nofix Not saving sulc Reading ../surf/rh.smoothwm.nofix avg radius = 44.8 mm, total surface area = 63276 mm^2 step 000: RMS=0.158 (target=0.015) step 005: RMS=0.119 (target=0.015) step 010: RMS=0.089 (target=0.015) step 015: RMS=0.075 (target=0.015) step 020: RMS=0.067 (target=0.015) step 025: RMS=0.061 (target=0.015) step 030: RMS=0.056 (target=0.015) step 035: RMS=0.054 (target=0.015) step 040: RMS=0.052 (target=0.015) step 045: RMS=0.051 (target=0.015) step 050: RMS=0.050 (target=0.015) step 055: RMS=0.050 (target=0.015) step 060: RMS=0.051 (target=0.015) writing inflated surface to ../surf/rh.inflated.nofix inflation took 0.3 minutes inflation complete. Not saving sulc mris_inflate utimesec 17.590325 mris_inflate stimesec 0.912861 mris_inflate ru_maxrss 191788 mris_inflate ru_ixrss 0 mris_inflate ru_idrss 0 mris_inflate ru_isrss 0 mris_inflate ru_minflt 464488 mris_inflate ru_majflt 0 mris_inflate ru_nswap 0 mris_inflate ru_inblock 0 mris_inflate ru_oublock 8472 mris_inflate ru_msgsnd 0 mris_inflate ru_msgrcv 0 mris_inflate ru_nsignals 0 mris_inflate ru_nvcsw 359 mris_inflate ru_nivcsw 1879 #-------------------------------------------- #@# QSphere lh Tue Apr 27 20:25:51 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mris_sphere -q -p 6 -a 128 -seed 1234 ../surf/lh.inflated.nofix ../surf/lh.qsphere.nofix doing quick spherical unfolding. limitting unfolding to 6 passes using n_averages = 128 setting seed for random number genererator to 1234 version: 7.1.1 available threads: 1 scaling brain by 0.339... inflating... projecting onto sphere... surface projected - minimizing metric distortion... vertex spacing 1.06 +- 0.70 (0.00-->11.56) (max @ vno 74500 --> 74514) face area 0.03 +- 0.04 (-0.90-->1.02) Entering MRISinflateToSphere() inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=176.488, avgs=0 005/300: dt: 0.9000, rms radial error=176.230, avgs=0 010/300: dt: 0.9000, rms radial error=175.675, avgs=0 015/300: dt: 0.9000, rms radial error=174.945, avgs=0 020/300: dt: 0.9000, rms radial error=174.115, avgs=0 025/300: dt: 0.9000, rms radial error=173.225, avgs=0 030/300: dt: 0.9000, rms radial error=172.303, avgs=0 035/300: dt: 0.9000, rms radial error=171.363, avgs=0 040/300: dt: 0.9000, rms radial error=170.415, avgs=0 045/300: dt: 0.9000, rms radial error=169.463, avgs=0 050/300: dt: 0.9000, rms radial error=168.517, avgs=0 055/300: dt: 0.9000, rms radial error=167.574, avgs=0 060/300: dt: 0.9000, rms radial error=166.635, avgs=0 065/300: dt: 0.9000, rms radial error=165.699, avgs=0 070/300: dt: 0.9000, rms radial error=164.768, avgs=0 075/300: dt: 0.9000, rms radial error=163.841, avgs=0 080/300: dt: 0.9000, rms radial error=162.921, avgs=0 085/300: dt: 0.9000, rms radial error=162.006, avgs=0 090/300: dt: 0.9000, rms radial error=161.095, avgs=0 095/300: dt: 0.9000, rms radial error=160.190, avgs=0 100/300: dt: 0.9000, rms radial error=159.289, avgs=0 105/300: dt: 0.9000, rms radial error=158.394, avgs=0 110/300: dt: 0.9000, rms radial error=157.503, avgs=0 115/300: dt: 0.9000, rms radial error=156.618, avgs=0 120/300: dt: 0.9000, rms radial error=155.738, avgs=0 125/300: dt: 0.9000, rms radial error=154.866, avgs=0 130/300: dt: 0.9000, rms radial error=154.000, avgs=0 135/300: dt: 0.9000, rms radial error=153.139, avgs=0 140/300: dt: 0.9000, rms radial error=152.283, avgs=0 145/300: dt: 0.9000, rms radial error=151.432, avgs=0 150/300: dt: 0.9000, rms radial error=150.585, avgs=0 155/300: dt: 0.9000, rms radial error=149.743, avgs=0 160/300: dt: 0.9000, rms radial error=148.906, avgs=0 165/300: dt: 0.9000, rms radial error=148.074, avgs=0 170/300: dt: 0.9000, rms radial error=147.246, avgs=0 175/300: dt: 0.9000, rms radial error=146.422, avgs=0 180/300: dt: 0.9000, rms radial error=145.603, avgs=0 185/300: dt: 0.9000, rms radial error=144.789, avgs=0 190/300: dt: 0.9000, rms radial error=143.979, avgs=0 195/300: dt: 0.9000, rms radial error=143.174, avgs=0 200/300: dt: 0.9000, rms radial error=142.373, avgs=0 205/300: dt: 0.9000, rms radial error=141.577, avgs=0 210/300: dt: 0.9000, rms radial error=140.785, avgs=0 215/300: dt: 0.9000, rms radial error=139.998, avgs=0 220/300: dt: 0.9000, rms radial error=139.215, avgs=0 225/300: dt: 0.9000, rms radial error=138.436, avgs=0 230/300: dt: 0.9000, rms radial error=137.662, avgs=0 235/300: dt: 0.9000, rms radial error=136.892, avgs=0 240/300: dt: 0.9000, rms radial error=136.127, avgs=0 245/300: dt: 0.9000, rms radial error=135.366, avgs=0 250/300: dt: 0.9000, rms radial error=134.609, avgs=0 255/300: dt: 0.9000, rms radial error=133.856, avgs=0 260/300: dt: 0.9000, rms radial error=133.108, avgs=0 265/300: dt: 0.9000, rms radial error=132.364, avgs=0 270/300: dt: 0.9000, rms radial error=131.624, avgs=0 275/300: dt: 0.9000, rms radial error=130.889, avgs=0 280/300: dt: 0.9000, rms radial error=130.157, avgs=0 285/300: dt: 0.9000, rms radial error=129.430, avgs=0 290/300: dt: 0.9000, rms radial error=128.707, avgs=0 295/300: dt: 0.9000, rms radial error=127.988, avgs=0 300/300: dt: 0.9000, rms radial error=127.272, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 14161.33 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/13 = 0.00038 epoch 2 (K=40.0), pass 1, starting sse = 2381.04 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.01/13 = 0.00046 epoch 3 (K=160.0), pass 1, starting sse = 301.55 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.05/13 = 0.00398 epoch 4 (K=640.0), pass 1, starting sse = 59.98 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.19/19 = 0.01018 final distance error %100000.00 writing spherical brain to ../surf/lh.qsphere.nofix spherical transformation took 0.0387 hours FSRUNTIME@ mris_sphere 0.0387 hours 1 threads #VMPC# mris_sphere VmPeak 569764 mris_sphere done #-------------------------------------------- #@# QSphere rh Tue Apr 27 20:28:11 CEST 2021 /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/scripts mris_sphere -q -p 6 -a 128 -seed 1234 ../surf/rh.inflated.nofix ../surf/rh.qsphere.nofix doing quick spherical unfolding. limitting unfolding to 6 passes using n_averages = 128 setting seed for random number genererator to 1234 version: 7.1.1 available threads: 1 scaling brain by 0.342... inflating... projecting onto sphere... surface projected - minimizing metric distortion... vertex spacing 1.07 +- 0.64 (0.00-->14.78) (max @ vno 85578 --> 85579) face area 0.03 +- 0.04 (-0.66-->0.91) Entering MRISinflateToSphere() inflating to sphere (rms error < 2.00) 000: dt: 0.0000, rms radial error=176.320, avgs=0 005/300: dt: 0.9000, rms radial error=176.058, avgs=0 010/300: dt: 0.9000, rms radial error=175.495, avgs=0 015/300: dt: 0.9000, rms radial error=174.754, avgs=0 020/300: dt: 0.9000, rms radial error=173.919, avgs=0 025/300: dt: 0.9000, rms radial error=173.027, avgs=0 030/300: dt: 0.9000, rms radial error=172.103, avgs=0 035/300: dt: 0.9000, rms radial error=171.163, avgs=0 040/300: dt: 0.9000, rms radial error=170.222, avgs=0 045/300: dt: 0.9000, rms radial error=169.278, avgs=0 050/300: dt: 0.9000, rms radial error=168.334, avgs=0 055/300: dt: 0.9000, rms radial error=167.394, avgs=0 060/300: dt: 0.9000, rms radial error=166.457, avgs=0 065/300: dt: 0.9000, rms radial error=165.525, avgs=0 070/300: dt: 0.9000, rms radial error=164.596, avgs=0 075/300: dt: 0.9000, rms radial error=163.673, avgs=0 080/300: dt: 0.9000, rms radial error=162.755, avgs=0 085/300: dt: 0.9000, rms radial error=161.841, avgs=0 090/300: dt: 0.9000, rms radial error=160.937, avgs=0 095/300: dt: 0.9000, rms radial error=160.038, avgs=0 100/300: dt: 0.9000, rms radial error=159.144, avgs=0 105/300: dt: 0.9000, rms radial error=158.254, avgs=0 110/300: dt: 0.9000, rms radial error=157.370, avgs=0 115/300: dt: 0.9000, rms radial error=156.490, avgs=0 120/300: dt: 0.9000, rms radial error=155.614, avgs=0 125/300: dt: 0.9000, rms radial error=154.744, avgs=0 130/300: dt: 0.9000, rms radial error=153.878, avgs=0 135/300: dt: 0.9000, rms radial error=153.017, avgs=0 140/300: dt: 0.9000, rms radial error=152.160, avgs=0 145/300: dt: 0.9000, rms radial error=151.308, avgs=0 150/300: dt: 0.9000, rms radial error=150.461, avgs=0 155/300: dt: 0.9000, rms radial error=149.619, avgs=0 160/300: dt: 0.9000, rms radial error=148.781, avgs=0 165/300: dt: 0.9000, rms radial error=147.947, avgs=0 170/300: dt: 0.9000, rms radial error=147.118, avgs=0 175/300: dt: 0.9000, rms radial error=146.294, avgs=0 180/300: dt: 0.9000, rms radial error=145.475, avgs=0 185/300: dt: 0.9000, rms radial error=144.659, avgs=0 190/300: dt: 0.9000, rms radial error=143.849, avgs=0 195/300: dt: 0.9000, rms radial error=143.043, avgs=0 200/300: dt: 0.9000, rms radial error=142.241, avgs=0 205/300: dt: 0.9000, rms radial error=141.444, avgs=0 210/300: dt: 0.9000, rms radial error=140.651, avgs=0 215/300: dt: 0.9000, rms radial error=139.863, avgs=0 220/300: dt: 0.9000, rms radial error=139.079, avgs=0 225/300: dt: 0.9000, rms radial error=138.299, avgs=0 230/300: dt: 0.9000, rms radial error=137.523, avgs=0 235/300: dt: 0.9000, rms radial error=136.752, avgs=0 240/300: dt: 0.9000, rms radial error=135.986, avgs=0 245/300: dt: 0.9000, rms radial error=135.223, avgs=0 250/300: dt: 0.9000, rms radial error=134.465, avgs=0 255/300: dt: 0.9000, rms radial error=133.711, avgs=0 260/300: dt: 0.9000, rms radial error=132.961, avgs=0 265/300: dt: 0.9000, rms radial error=132.215, avgs=0 270/300: dt: 0.9000, rms radial error=131.474, avgs=0 275/300: dt: 0.9000, rms radial error=130.736, avgs=0 280/300: dt: 0.9000, rms radial error=130.003, avgs=0 285/300: dt: 0.9000, rms radial error=129.274, avgs=0 290/300: dt: 0.9000, rms radial error=128.549, avgs=0 295/300: dt: 0.9000, rms radial error=127.828, avgs=0 300/300: dt: 0.9000, rms radial error=127.111, avgs=0 spherical inflation complete. epoch 1 (K=10.0), pass 1, starting sse = 13652.56 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/13 = 0.00036 epoch 2 (K=40.0), pass 1, starting sse = 2163.94 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.00/13 = 0.00032 epoch 3 (K=160.0), pass 1, starting sse = 230.34 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.01/13 = 0.00110 epoch 4 (K=640.0), pass 1, starting sse = 33.63 taking momentum steps... taking momentum steps... taking momentum steps... taking momentum steps... pass 1 complete, delta sse/iter = 0.06/14 = 0.00421 final distance error %100000.00 writing spherical brain to ../surf/rh.qsphere.nofix spherical transformation took 0.0354 hours FSRUNTIME@ mris_sphere 0.0354 hours 1 threads #VMPC# mris_sphere VmPeak 565160 mris_sphere done #@# Fix Topology lh Tue Apr 27 20:30:18 CEST 2021 mris_fix_topology -mgz -sphere qsphere.nofix -inflated inflated.nofix -orig orig.nofix -out orig.premesh -ga -seed 1234 81489f2bb-M12_T1_01 lh reading spherical homeomorphism from 'qsphere.nofix' reading inflated coordinates from 'inflated.nofix' reading original coordinates from 'orig.nofix' using genetic algorithm with optimized parameters setting seed for random number genererator to 1234 ************************************************************* Topology Correction Parameters retessellation mode: genetic search number of patches/generation : 10 number of generations : 10 surface mri loglikelihood coefficient : 1.0 volume mri loglikelihood coefficient : 10.0 normal dot loglikelihood coefficient : 1.0 quadratic curvature loglikelihood coefficient : 1.0 volume resolution : 2 eliminate vertices during search : 1 initial patch selection : 1 select all defect vertices : 0 ordering dependant retessellation: 0 use precomputed edge table : 0 smooth retessellated patch : 2 match retessellated patch : 1 verbose mode : 0 ************************************************************* INFO: assuming .mgz format writing corrected surface to 'orig.premesh' 7.1.1 7.1.1 before topology correction, eno=-60 (nv=123282, nf=246684, ne=370026, g=31) using quasi-homeomorphic spherical map to tessellate cortical surface... Correction of the Topology Finding true center and radius of Spherical Surface...done Surface centered at (0,0,0) with radius 100.0 in 8 iterations marking ambiguous vertices... 24242 ambiguous faces found in tessellation segmenting defects... 23 defects found, arbitrating ambiguous regions... analyzing neighboring defects... 23 defects to be corrected 0 vertices coincident reading input surface /mnt/twork/username/DELCODEM12/fs7/fs/81489f2bb-M12_T1_01/surf/lh.qsphere.nofix... reading brain volume from brain... reading wm segmentation from wm... Reading original properties of orig.nofix Reading vertex positions of inflated.nofix Computing Initial Surface Statistics -face loglikelihood: -9.2729 (-4.6365) -vertex loglikelihood: -6.4060 (-3.2030) -normal dot loglikelihood: -3.6054 (-3.6054) -quad curv loglikelihood: -5.8494 (-2.9247) Total Loglikelihood : -25.1337 CORRECTING DEFECT 0 (vertices=27, convex hull=33, v0=3722) After retessellation of defect 0 (v0=3722), euler #=-17 (110297,329054,218740) : difference with theory (-20) = -3 CORRECTING DEFECT 1 (vertices=1328, convex hull=223, v0=5372) After retessellation of defect 1 (v0=5372), euler #=-16 (110434,329568,219118) : difference with theory (-19) = -3 CORRECTING DEFECT 2 (vertices=21, convex hull=50, v0=22890) After retessellation of defect 2 (v0=22890), euler #=-15 (110444,329616,219157) : difference with theory (-18) = -3 CORRECTING DEFECT 3 (vertices=8808, convex hull=2020, v0=31369) Segmentation fault (core dumped) Linux compute-0-2.local 2.6.32-504.16.2.el6.x86_64 #1 SMP Wed Apr 22 06:48:29 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux recon-all -s 81489f2bb-M12_T1_01 exited with ERRORS at Tue Apr 27 21:23:59 CEST 2021 To report a problem, see http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting