Hi Freesurfer experts,
I have encountered the following error running the reconall -autorecon2 script,
blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation fault ERROR: mri_ca_register with non-zero status
The complete ouput from the log file is attached below.
I ran the autorecon1 earlier without any errors. The talirach transformation and skull stripping went fine on examination. There were also no memory errors logged in var/spool/mail directory.
I am currently using Red Hat Enterprise Linux Client release 4.91 (Tikanga), with 2GB RAM on 64-bit Intel dual core.
I would greatly appreciate any help on this.
Thanks, -Giri
/usr/local/bin/freesurfer/subjects/GK1 /usr/local/bin/freesurfer/bin/recon-all -autorecon2 -sid GK1 subjid GK1 setenv SUBJECTS_DIR /usr/local/bin/freesurfer/subjects FREESURFER_HOME /usr/local/bin/freesurfer Actual FREESURFER_HOME /usr/local/bin/freesurfer build-stamp.txt: freesurfer-Linux-centos4_x86_64-stable-pub-v3.0.4 Linux lab1 2.6.17-1.2519.4.21.el5 #1 SMP Wed Aug 30 18:18:28 EDT 2006 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 1024 memorylocked 32 kbytes maxproc 16369 ######################################## program versions used $Id: recon-all,v 1.17.2.15 2006/11/21 04:58:13 nicks Exp $ $Id: mri_motion_correct.fsl,v 1.4 2006/01/01 21:56:44 greve Exp $ mri_convert -all-info ProgramName: mri_convert ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_convert.c,v 1.121.2.1 2006/08/28 18:00:04 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 $Id: talairach,v 1.2 2005/12/12 23:04:35 greve Exp $ mri_convert --version stable3 Program nu_correct, built from: Package MNI N3, version 1.10, compiled by nicks@minerva(x86_64-unknown-linux-gnu) on 2005-11-15 at 20:37:35 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_normalize.c,v 1.44.2.2 2006/06/28 23:38:13 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_watershed.cpp,v 1.48 2006/02/27 16:57:57 segonne Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_segment.c,v 1.28.2.1 2006/04/12 02:02:58 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_fill.c,v 1.1012006/02/22 23:05:06 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_tessellate.c,v 1.27.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_smooth.c,v 1.13.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_inflate.c,v 1.30.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_sphere.c,v 1.382006/02/08 00:17:40 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_fix_topology.c,v 1.41 2006/02/06 19:41:59 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_euler_number.c,v 1.4 2003/09/05 04:45:41 kteich Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_make_surfaces.c,v 1.70.2.5 2006/07/18 18:26:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_register.c,v 1.32 2005/12/07 14:22:57 fischl Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mrisp_paint.c,v 1.62005/02/14 04:30:19 segonne Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_label2label ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_label2label.c,v 1.23.2.1 2006/09/20 20:42:55 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_em_register.c,v 1.52 2006/01/11 21:01:40 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_normalize.c,v 1.31 2005/08/15 14:14:22 fischl Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_register.c,v 1.48.2.7 2006/10/24 01:48:52 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_label.c,v 1.68.2.2 2006/08/16 00:18:42 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ####################################### GCA RB_all_2006-02-15.gca GCASkull RB_all_withskull_2006-02-15.gca AvgCurvTif average.curvature.filled.buckner40.tif GCS curvature.buckner40.filled.desikan_killiany.gcs ####################################### #------------------------------------- #@# EM Registration Thu Feb 22 15:13:40 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_em_register -mask brainmask.mgz nu.mgz/usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.lta
using MR volume brainmask.mgz to mask input volume... reading 1 input volumes... logging results to talairach.log reading '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'... setting gca type = Normal gca type average std = 7.4 using min determinant for regularization = 5.5 0 singular and 1662 ill-conditioned covariance matrices regularized reading 'nu.mgz'... total sample mean = 87.9 (483 zeros) register_mri: find_optimal_transform find_optimal_transform: nsamples 2242, passno 0, spacing 8 ************************************************ First Search limited to translation only. ************************************************ Found translation: (-2.0, 32.7, 2.0): log p = -23693.6 Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p =-23693.6(thresh=- 23669.9) 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000; Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p =-14331.5(thresh=- 14317.2) 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000; dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; nsamples 2242 Quasinewton: input matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; pass 2 through quasi-newton minimization... pass 3 through quasi-newton minimization... pass 4 through quasi-newton minimization... fp = 14318.311523, fret = 14318.311523, ftol = 0.000010, EPS = 0.000000 dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; nsamples 242283 Quasinewton: input matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; pass 2 through quasi-newton minimization... pass 3 through quasi-newton minimization... pass 4 through quasi-newton minimization... pass 5 through quasi-newton minimization... pass 6 through quasi-newton minimization... freeing gibbs priors...done. bounding unknown intensity as < 16.0 or > 799.3 ************************************************ spacing=8, using 2242 sample points, tol=1.00e-05... ************************************************ resetting wm mean[0]: 109 --> 116 resetting gm mean[0]: 68 --> 68 input volume #1 is the most T1-like using real data threshold=24.0 using (106, 68, 109) as brain centroid... mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find MRI wm before smoothing, mri peak at 98 after smoothing, mri peak at 96, scaling input intensities by 1.208 scaling channel 0 by 1.20833 initial log_p = -93140.0
**************************************** Nine parameter search. iteration 0 nscales = 0 ... **************************************** **************************************** Nine parameter search. iteration 1 nscales = 1 ... **************************************** reducing scale to 0.2500 *********************************************** Computing MAP estimate using 2242 samples... *********************************************** dfp_em_step_func: 002: -log(p) = 14331.5 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 003: -log(p) = 14324.0 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 004: -log(p) = 14319.0 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 005: -log(p) = 14318.3 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) outof QuasiNewtonEMA: 007: -log(p) = 14318.3 tol 0.000010 Resulting transform: 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000;
pass 1, spacing 8: log(p) = -14331.5 (old=-93140.0) transform before final EM align: 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000;
************************************************** EM alignment process ... Computing final MAP estimate using 242283 samples. ************************************************** dfp_em_step_func: 006: -log(p) = 1813558.6 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 007: -log(p) = 1806361.1 after pass:transform: ( 1.12, -0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 008: -log(p) = 1801868.9 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( -0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 009: -log(p) = 1797434.0 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 010: -log(p) = 1796255.2 after pass:transform: ( 1.12, 0.00, 0.01, -18.07) ( 0.00, 1.17, 0.19, -1.64) ( -0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 011: -log(p) = 1791314.1 after pass:transform: ( 1.12, 0.00, 0.01, -18.07) ( 0.00, 1.17, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) outof QuasiNewtonEMA: 013: -log(p) = 1789155.6 tol 0.000000 final transform: 1.117 0.001 0.009 -18.071; 0.001 1.172 0.192 -1.635; 0.000 -0.125 0.991 13.008; 0.000 0.000 0.000 1.000;
writing output transformation to transforms/talairach.lta... registration took 3 minutes and 36 seconds. #-------------------------------------- #@# CA Normalize Thu Feb 22 15:17:16 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_ca_normalize -mask brainmask.mgz nu.mgz/usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.lta norm.mgz
using MR volume brainmask.mgz to mask input volume... reading 1 input volumes reading atlas from '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca '... setting gca type = Normal gca type reading transform from 'transforms/talairach.lta'... INFO: compute sample coordinates transform 1.117 0.001 0.009 -18.071; 0.001 1.172 0.192 -1.635; 0.000 -0.125 0.991 13.008; 0.000 0.000 0.000 1.000; INFO: transform used reading input volume from nu.mgz... resetting wm mean[0]: 109 --> 116 resetting gm mean[0]: 68 --> 68 input volume #1 is the most T1-like using real data threshold=24.0 using (106, 68, 109) as brain centroid... mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find MRI wm before smoothing, mri peak at 98 after smoothing, mri peak at 96, scaling input intensities by 1.208 scaling channel 0 by 1.20833 using 242283 sample points... finding control points in Left_Cerebral_White_Matter.... found 38929 control points for structure... bounding box (128, 31, 26) --> (187, 125, 191) Left_Cerebral_White_Matter: limiting intensities to 106.0 --> 124.0 195 of 724 (26.9%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 38531 control points for structure... bounding box (71, 32, 26) --> (128, 125, 192) Right_Cerebral_White_Matter: limiting intensities to 107.0 --> 122.0 330 of 725 (45.5%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3087 control points for structure... bounding box (130, 107, 52) --> (171, 142, 105) Left_Cerebellum_White_Matter: limiting intensities to 113.0 --> 118.0 59 of 110 (53.6%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2900 control points for structure... bounding box (87, 108, 49) --> (128, 142, 105) Right_Cerebellum_White_Matter: limiting intensities to 95.0 --> 109.0 30 of 93 (32.3%) samples deleted finding control points in Brain_Stem.... found 3414 control points for structure... bounding box (112, 94, 86) --> (142, 155, 116) Brain_Stem: limiting intensities to 91.0 --> 106.0 64 of 186 (34.4%) samples deleted using 1838 total control points for intensity normalization... bias field = 0.962 +- 0.069 0 of 1160 control points discarded writing normalized volume to norm.mgz... freeing GCA...done. normalization took 0 minutes and 44 seconds. #-------------------------------------- #@# CA Reg Thu Feb 22 15:18:01 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_ca_register -align -nobigventricles -mask brainmask.mgz -T transforms/talairach.lta norm.mgz/usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.m3z
renormalizing sequences with structure alignment, equivalent to: -renormalize -regularize_mean 0.500 -regularize 0.500 not handling expanded ventricles... using MR volume brainmask.mgz to mask input volume... using previously computed transform transforms/talairach.lta reading 1 input volumes... logging results to talairach.log reading input volume 'norm.mgz'... reading GCA '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'... setting gca type = Normal gca type freeing gibbs priors...done. average std[0] = 5.0 label assignment complete, 0 changed (0.00%) renormalizing by structure alignment.... renormalizing input #0 aligning Left_Pallidum... gca peak = 0.11705 (100) mri peak = 0.13848 (105) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (433 voxels, overlap=0.650) aligning Right_Pallidum... gca peak = 0.13501 (106) mri peak = 0.12646 (103) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (703 voxels, overlap=0.936) aligning Right_Cerebral_White_Matter... gca peak = 0.05652 (116) mri peak = 0.07903 (114) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (87439 voxels, overlap=0.552) aligning Left_Cerebral_White_Matter... gca peak = 0.05682 (116) mri peak = 0.06608 (112) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (98179 voxels, overlap=0.498) aligning Left_Lateral_Ventricle... gca peak = 0.05153 (25) mri peak = 0.03578 (36) unreasonable value (46.9), not in range [ 0, 40] - rejecting aligning Right_Lateral_Ventricle... gca peak = 0.07557 (30) mri peak = 0.04038 (37) unreasonable value (46.5), not in range [ 0, 40] - rejecting aligning Right_Hippocampus... gca peak = 0.14805 (66) mri peak = 0.08220 (79) Right_Hippocampus (53): linear fit = 1.23 x + 0.0 (1589 voxels, overlap= 0.091) aligning Left_Hippocampus... gca peak = 0.17297 (66) mri peak = 0.07333 (81) Left_Hippocampus (17): linear fit = 1.23 x + 0.0 (1080 voxels, overlap=0.100 ) aligning Left_Cerebral_Cortex... gca peak = 0.05671 (68) mri peak = 0.02650 (89) uniform distribution in MR - rejecting arbitrary fit aligning Right_Cerebral_Cortex... gca peak = 0.06581 (70) mri peak = 0.02773 (91) uniform distribution in MR - rejecting arbitrary fit aligning Right_Caudate... gca peak = 0.07786 (81) mri peak = 0.16928 (95) Right_Caudate (50): linear fit = 1.20 x + 0.0 (1008 voxels, overlap=0.048) aligning Left_Caudate... gca peak = 0.07814 (81) mri peak = 0.11708 (92) Left_Caudate (11): linear fit = 1.12 x + 0.0 (876 voxels, overlap=0.330) aligning Left_Cerebellum_Cortex... gca peak = 0.06033 (63) mri peak = 0.04440 (84) Left_Cerebellum_Cortex (8): linear fit = 1.35 x + 0.0 (34294 voxels, overlap=0.004) aligning Right_Cerebellum_Cortex... gca peak = 0.05990 (64) mri peak = 0.04660 (85) Right_Cerebellum_Cortex (47): linear fit = 1.33 x + 0.0 (40922 voxels, overlap=0.022) aligning Left_Cerebellum_White_Matter... gca peak = 0.09299 (92) mri peak = 0.09884 (97) Left_Cerebellum_White_Matter (7): linear fit = 1.08 x + 0.0 (7197 voxels, overlap=0.337) aligning Right_Cerebellum_White_Matter... gca peak = 0.08899 (93) mri peak = 0.10077 (95) Right_Cerebellum_White_Matter (46): linear fit = 1.05 x + 0.0 (9203 voxels, overlap=0.538) aligning Left_Amygdala... gca peak = 0.13911 (71) mri peak = 0.13021 (81) Left_Amygdala (18): linear fit = 1.15 x + 0.0 (466 voxels, overlap=0.093) aligning Right_Amygdala... gca peak = 0.15703 (65) mri peak = 0.07413 (82) Right_Amygdala (54): linear fit = 1.27 x + 0.0 (621 voxels, overlap=0.009) aligning Left_Thalamus_Proper... gca peak = 0.06537 (100) mri peak = 0.11424 (101) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (3570 voxels, overlap= 0.500) aligning Right_Thalamus_Proper... gca peak = 0.07019 (99) mri peak = 0.09504 (98) Right_Thalamus_Proper (49): linear fit = 0.98 x + 0.0 (3540 voxels, overlap= 0.526) aligning Left_Putamen... gca peak = 0.09468 (90) mri peak = 0.11889 (97) Left_Putamen (12): linear fit = 1.08 x + 0.0 (2476 voxels, overlap=0.278) aligning Right_Putamen... gca peak = 0.07184 (82) mri peak = 0.10599 (95) Right_Putamen (51): linear fit = 1.08 x + 0.0 (2916 voxels, overlap=0.391) aligning Brain_Stem... gca peak = 0.05597 (80) mri peak = 0.09565 (93) Brain_Stem (16): linear fit = 1.00 x + 0.0 (14224 voxels, overlap=0.438) aligning Right_VentralDC... gca peak = 0.05879 (97) mri peak = 0.08609 (102) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (2104 voxels, overlap=0.454) aligning Left_VentralDC... gca peak = 0.06932 (98) mri peak = 0.10655 (100) Left_VentralDC (28): linear fit = 0.95 x + 0.0 (1910 voxels, overlap=0.480) aligning Third_Ventricle... gca peak = 0.10105 (38) mri peak = 0.07224 (35) unreasonable value (47.5), not in range [ 0, 40] - rejecting aligning Fourth_Ventricle... gca peak = 0.10426 (32) mri peak = 0.11254 (32) not using caudate to estimate GM means Fourth_Ventricle (15): linear fit = 1.12 x + 0.0 (847 voxels, overlap=0.417) estimating mean gm scale to be 1.22 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 1.12 x + 0.0 22 transforms computed 0000: dt=0.000000, rms=0.793 (0.168%), neg=0, invalid=1511, LIN 0001: dt=0.000000, rms=0.793 (0.017%), neg=0, invalid=1511, LIN rms increased - undoing step... 0002: dt=0.000000, rms=0.793 (-0.154%), neg=0, invalid=1511, LIN rms increased - undoing step... 0004: dt=0.000000, rms=0.793 (-0.176%), neg=0, invalid=1511, LIN rms increased - undoing step... 0006: dt=0.000000, rms=0.789 (-0.250%), neg=0, invalid=1511, LIN rms increased - undoing step... 0008: dt=0.000000, rms=0.789 (-0.236%), neg=0, invalid=1511, LIN rms increased - undoing step... 0010: dt=0.000000, rms=0.789 (-0.226%), neg=0, invalid=1511, LIN rms increased - undoing step... 0012: dt=0.000000, rms=0.787 (-0.184%), neg=0, invalid=1511, LIN rms increased - undoing step... 0014: dt=0.000000, rms=0.787 (-0.180%), neg=0, invalid=1511, LIN rms increased - undoing step... 0016: dt=0.000000, rms=0.787 (-0.171%), neg=0, invalid=1511, LIN rms increased - undoing step... 0018: dt=0.000000, rms=0.787 (-0.169%), neg=0, invalid=1511, LIN label assignment complete, 0 changed (0.00%) **************** pass 1 of 1 ************************ setting smoothness coefficient to 0.01 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.782, neg=0, invalid=1511 0021: dt=185.732255, rms=0.718 (8.200%), neg=0, invalid=1511 0022: dt=197.104294, rms=0.696 (3.066%), neg=0, invalid=1511 0023: dt=113.120000, rms=0.686 (1.357%), neg=0, invalid=1511 0024: dt=443.904007, rms=0.674 (1.792%), neg=0, invalid=1511 0025: dt=84.339726, rms=0.668 (0.793%), neg=0, invalid=1511 0026: dt=517.888008, rms=0.663 (0.805%), neg=0, invalid=1511 0027: dt=129.472002, rms=0.660 (0.444%), neg=0, invalid=1511 0028: dt=110.976002, rms=0.660 (0.072%), neg=0, invalid=1511 0029: dt=887.808013, rms=0.654 (0.900%), neg=0, invalid=1511 0030: dt=80.000000, rms=0.653 (0.182%), neg=0, invalid=1511 0031: dt=517.888008, rms=0.651 (0.166%), neg=0, invalid=1511 0032: dt=129.472002, rms=0.649 (0.329%), neg=0, invalid=1511 0033: dt=32.368000, rms=0.649 (0.004%), neg=0, invalid=1511 0034: dt=32.368000, rms=0.649 (0.005%), neg=0, invalid=1511 0035: dt=32.368000, rms=0.649 (0.010%), neg=0, invalid=1511 0036: dt=32.368000, rms=0.649 (0.024%), neg=0, invalid=1511 0037: dt=32.368000, rms=0.649 (0.053%), neg=0, invalid=1511 0038: dt=32.368000, rms=0.648 (0.092%), neg=0, invalid=1511 0039: dt=32.368000, rms=0.647 (0.118%), neg=0, invalid=1511 0040: dt=32.368000, rms=0.647 (0.124%), neg=0, invalid=1511 0041: dt=32.368000, rms=0.646 (0.118%), neg=0, invalid=1511 0042: dt=32.368000, rms=0.645 (0.104%), neg=0, invalid=1511 0043: dt=32.368000, rms=0.645 (0.093%), neg=0, invalid=1511 0044: dt=32.368000, rms=0.644 (0.089%), neg=0, invalid=1511 0045: dt=32.368000, rms=0.643 (0.095%), neg=0, invalid=1511 0046: dt=32.368000, rms=0.643 (0.098%), neg=0, invalid=1511 0047: dt=32.368000, rms=0.642 (0.104%), neg=0, invalid=1511 0048: dt=32.368000, rms=0.641 (0.110%), neg=0, invalid=1511 0049: dt=32.368000, rms=0.641 (0.109%), neg=0, invalid=1511 0050: dt=32.368000, rms=0.640 (0.101%), neg=0, invalid=1511 0051: dt=32.368000, rms=0.639 (0.089%), neg=0, invalid=1511 0052: dt=32.368000, rms=0.639 (0.078%), neg=0, invalid=1511 0053: dt=32.368000, rms=0.638 (0.074%), neg=0, invalid=1511 0054: dt=32.368000, rms=0.638 (0.067%), neg=0, invalid=1511 0055: dt=32.368000, rms=0.638 (0.063%), neg=0, invalid=1511 0056: dt=32.368000, rms=0.637 (0.063%), neg=0, invalid=1511 0057: dt=32.368000, rms=0.637 (0.075%), neg=0, invalid=1511 0058: dt=32.368000, rms=0.636 (0.084%), neg=0, invalid=1511 0059: dt=32.368000, rms=0.636 (0.085%), neg=0, invalid=1511 0060: dt=32.368000, rms=0.635 (0.077%), neg=0, invalid=1511 0061: dt=32.368000, rms=0.635 (0.071%), neg=0, invalid=1511 0062: dt=32.368000, rms=0.634 (0.059%), neg=0, invalid=1511 0063: dt=32.368000, rms=0.634 (0.057%), neg=0, invalid=1511 0064: dt=32.368000, rms=0.634 (0.051%), neg=0, invalid=1511 0065: dt=32.368000, rms=0.633 (0.048%), neg=0, invalid=1511 0066: dt=32.368000, rms=0.633 (0.048%), neg=0, invalid=1511 0067: dt=32.368000, rms=0.633 (0.046%), neg=0, invalid=1511 0068: dt=32.368000, rms=0.632 (0.045%), neg=0, invalid=1511 0069: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511 0070: dt=32.368000, rms=0.632 (0.049%), neg=0, invalid=1511 0071: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511 0072: dt=32.368000, rms=0.631 (0.047%), neg=0, invalid=1511 0073: dt=32.368000, rms=0.631 (0.045%), neg=0, invalid=1511 0074: dt=32.368000, rms=0.631 (0.043%), neg=0, invalid=1511 0075: dt=32.368000, rms=0.630 (0.039%), neg=0, invalid=1511 0076: dt=32.368000, rms=0.630 (0.034%), neg=0, invalid=1511 0077: dt=32.368000, rms=0.630 (0.030%), neg=0, invalid=1511 0078: dt=32.368000, rms=0.630 (0.027%), neg=0, invalid=1511 0079: dt=32.368000, rms=0.630 (0.025%), neg=0, invalid=1511 0080: dt=32.368000, rms=0.630 (0.027%), neg=0, invalid=1511 0081: dt=32.368000, rms=0.629 (0.032%), neg=0, invalid=1511 0082: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511 0083: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511 0084: dt=32.368000, rms=0.629 (0.032%), neg=0, invalid=1511 0085: dt=32.368000, rms=0.629 (0.027%), neg=0, invalid=1511 0086: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0087: dt=32.368000, rms=0.628 (0.026%), neg=0, invalid=1511 0088: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0089: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0090: dt=32.368000, rms=0.628 (0.028%), neg=0, invalid=1511 0091: dt=32.368000, rms=0.628 (0.029%), neg=0, invalid=1511 0092: dt=32.368000, rms=0.627 (0.030%), neg=0, invalid=1511 0093: dt=32.368000, rms=0.627 (0.022%), neg=0, invalid=1511 0094: dt=32.368000, rms=0.627 (0.016%), neg=0, invalid=1511 0095: dt=3551.232053, rms=0.626 (0.239%), neg=0, invalid=1511 0096: dt=32.368000, rms=0.626 (0.015%), neg=0, invalid=1511 0097: dt=32.368000, rms=0.625 (0.005%), neg=0, invalid=1511 0098: dt=32.368000, rms=0.625 (-0.010%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.625, neg=0, invalid=1511 0099: dt=129.472002, rms=0.623 (0.348%), neg=0, invalid=1511 0100: dt=221.952003, rms=0.623 (0.107%), neg=0, invalid=1511 0101: dt=129.472002, rms=0.622 (0.101%), neg=0, invalid=1511 0102: dt=295.936004, rms=0.622 (0.056%), neg=0, invalid=1511 0103: dt=129.472002, rms=0.621 (0.072%), neg=0, invalid=1511 0104: dt=73.984001, rms=0.621 (0.007%), neg=0, invalid=1511 0105: dt=73.984001, rms=0.621 (0.013%), neg=0, invalid=1511 0106: dt=73.984001, rms=0.621 (0.023%), neg=0, invalid=1511 0107: dt=73.984001, rms=0.621 (0.036%), neg=0, invalid=1511 0108: dt=73.984001, rms=0.620 (0.046%), neg=0, invalid=1511 0109: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511 0110: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511 0111: dt=73.984001, rms=0.620 (0.047%), neg=0, invalid=1511 0112: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511 0113: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511 0114: dt=73.984001, rms=0.619 (0.047%), neg=0, invalid=1511 0115: dt=73.984001, rms=0.618 (0.047%), neg=0, invalid=1511 0116: dt=73.984001, rms=0.618 (0.051%), neg=0, invalid=1511 0117: dt=73.984001, rms=0.618 (0.052%), neg=0, invalid=1511 0118: dt=73.984001, rms=0.617 (0.048%), neg=0, invalid=1511 0119: dt=73.984001, rms=0.617 (0.042%), neg=0, invalid=1511 0120: dt=73.984001, rms=0.617 (0.041%), neg=0, invalid=1511 0121: dt=73.984001, rms=0.617 (0.037%), neg=0, invalid=1511 0122: dt=73.984001, rms=0.617 (0.034%), neg=0, invalid=1511 0123: dt=73.984001, rms=0.616 (0.038%), neg=0, invalid=1511 0124: dt=73.984001, rms=0.616 (0.037%), neg=0, invalid=1511 0125: dt=73.984001, rms=0.616 (0.040%), neg=0, invalid=1511 0126: dt=73.984001, rms=0.616 (0.041%), neg=0, invalid=1511 0127: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511 0128: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511 0129: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511 0130: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511 0131: dt=73.984001, rms=0.614 (0.035%), neg=0, invalid=1511 0132: dt=73.984001, rms=0.614 (0.031%), neg=0, invalid=1511 0133: dt=73.984001, rms=0.614 (0.029%), neg=0, invalid=1511 0134: dt=73.984001, rms=0.614 (0.031%), neg=0, invalid=1511 0135: dt=73.984001, rms=0.614 (0.032%), neg=0, invalid=1511 0136: dt=73.984001, rms=0.614 (0.027%), neg=0, invalid=1511 0137: dt=73.984001, rms=0.613 (0.020%), neg=0, invalid=1511 0138: dt=73.984001, rms=0.613 (0.027%), neg=0, invalid=1511 0139: dt=73.984001, rms=0.613 (0.028%), neg=0, invalid=1511 0140: dt=73.984001, rms=0.613 (0.031%), neg=0, invalid=1511 0141: dt=73.984001, rms=0.613 (0.034%), neg=0, invalid=1511 0142: dt=73.984001, rms=0.613 (0.024%), neg=0, invalid=1511 0143: dt=73.984001, rms=0.612 (0.020%), neg=0, invalid=1511 0144: dt=369.920006, rms=0.612 (0.023%), neg=0, invalid=1511 0145: dt=32.368000, rms=0.612 (0.002%), neg=0, invalid=1511 0146: dt=32.368000, rms=0.612 (-0.002%), neg=0, invalid=1511 setting smoothness coefficient to 0.03 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.614, neg=0, invalid=1511 0147: dt=29.460317, rms=0.613 (0.119%), neg=0, invalid=1511 0148: dt=70.660633, rms=0.612 (0.163%), neg=0, invalid=1511 0149: dt=331.776005, rms=0.606 (0.988%), neg=0, invalid=1511 0150: dt=39.529412, rms=0.604 (0.369%), neg=0, invalid=1511 0151: dt=145.152002, rms=0.601 (0.532%), neg=0, invalid=1511 0152: dt=41.882353, rms=0.599 (0.274%), neg=0, invalid=1511 0153: dt=89.854305, rms=0.598 (0.199%), neg=0, invalid=1511 0154: dt=42.400000, rms=0.597 (0.167%), neg=0, invalid=1511 0155: dt=91.586207, rms=0.596 (0.155%), neg=0, invalid=1511 0156: dt=42.378378, rms=0.595 (0.152%), neg=0, invalid=1511 0157: dt=74.507463, rms=0.595 (0.115%), neg=0, invalid=1511 0158: dt=48.000000, rms=0.594 (0.124%), neg=0, invalid=1511 0159: dt=61.866667, rms=0.593 (0.114%), neg=0, invalid=1511 0160: dt=48.000000, rms=0.593 (0.098%), neg=0, invalid=1511 0161: dt=66.666667, rms=0.592 (0.092%), neg=0, invalid=1511 0162: dt=39.225806, rms=0.591 (0.111%), neg=0, invalid=1511 0163: dt=82.944001, rms=0.591 (0.088%), neg=0, invalid=1511 0164: dt=45.913043, rms=0.590 (0.121%), neg=0, invalid=1511 0165: dt=73.600000, rms=0.590 (0.080%), neg=0, invalid=1511 0166: dt=36.288001, rms=0.589 (0.097%), neg=0, invalid=1511 0167: dt=124.416002, rms=0.588 (0.140%), neg=0, invalid=1511 0168: dt=25.920000, rms=0.588 (0.089%), neg=0, invalid=1511 0169: dt=580.608009, rms=0.585 (0.512%), neg=0, invalid=1511 0170: dt=34.051282, rms=0.583 (0.222%), neg=0, invalid=1511 0171: dt=37.333333, rms=0.583 (0.039%), neg=0, invalid=1511 0172: dt=37.333333, rms=0.583 (0.068%), neg=0, invalid=1511 0173: dt=37.333333, rms=0.582 (0.065%), neg=0, invalid=1511 0174: dt=37.333333, rms=0.582 (0.083%), neg=0, invalid=1511 0175: dt=37.333333, rms=0.581 (0.103%), neg=0, invalid=1511 0176: dt=37.333333, rms=0.580 (0.148%), neg=0, invalid=1511 0177: dt=37.333333, rms=0.579 (0.163%), neg=0, invalid=1511 0178: dt=37.333333, rms=0.579 (0.161%), neg=0, invalid=1511 0179: dt=37.333333, rms=0.578 (0.152%), neg=0, invalid=1511 0180: dt=37.333333, rms=0.577 (0.159%), neg=0, invalid=1511 0181: dt=37.333333, rms=0.576 (0.169%), neg=0, invalid=1511 0182: dt=37.333333, rms=0.575 (0.172%), neg=0, invalid=1511 0183: dt=37.333333, rms=0.574 (0.158%), neg=0, invalid=1511 0184: dt=37.333333, rms=0.573 (0.143%), neg=0, invalid=1511 0185: dt=37.333333, rms=0.572 (0.125%), neg=0, invalid=1511 0186: dt=37.333333, rms=0.572 (0.111%), neg=0, invalid=1511 0187: dt=37.333333, rms=0.571 (0.122%), neg=0, invalid=1511 0188: dt=37.333333, rms=0.570 (0.108%), neg=0, invalid=1511 0189: dt=37.333333, rms=0.570 (0.115%), neg=0, invalid=1511 0190: dt=37.333333, rms=0.569 (0.114%), neg=0, invalid=1511 0191: dt=37.333333, rms=0.568 (0.112%), neg=0, invalid=1511 0192: dt=37.333333, rms=0.568 (0.122%), neg=0, invalid=1511 0193: dt=37.333333, rms=0.567 (0.096%), neg=0, invalid=1511 0194: dt=37.333333, rms=0.567 (0.076%), neg=0, invalid=1511 0195: dt=37.333333, rms=0.566 (0.080%), neg=0, invalid=1511 0196: dt=37.333333, rms=0.566 (0.096%), neg=0, invalid=1511 0197: dt=37.333333, rms=0.565 (0.089%), neg=0, invalid=1511 0198: dt=37.333333, rms=0.565 (0.092%), neg=0, invalid=1511 0199: dt=37.333333, rms=0.564 (0.087%), neg=0, invalid=1511 0200: dt=37.333333, rms=0.564 (0.073%), neg=0, invalid=1511 0201: dt=37.333333, rms=0.563 (0.071%), neg=0, invalid=1511 0202: dt=37.333333, rms=0.563 (0.086%), neg=0, invalid=1511 0203: dt=37.333333, rms=0.563 (0.086%), neg=0, invalid=1511 0204: dt=37.333333, rms=0.562 (0.063%), neg=0, invalid=1511 0205: dt=37.333333, rms=0.562 (0.044%), neg=0, invalid=1511 0206: dt=37.333333, rms=0.562 (0.061%), neg=0, invalid=1511 0207: dt=37.333333, rms=0.561 (0.063%), neg=0, invalid=1511 0208: dt=37.333333, rms=0.561 (0.067%), neg=0, invalid=1511 0209: dt=37.333333, rms=0.560 (0.071%), neg=0, invalid=1511 0210: dt=37.333333, rms=0.560 (0.054%), neg=0, invalid=1511 0211: dt=37.333333, rms=0.560 (0.043%), neg=0, invalid=1511 0212: dt=37.333333, rms=0.560 (0.039%), neg=0, invalid=1511 0213: dt=37.333333, rms=0.559 (0.043%), neg=0, invalid=1511 0214: dt=37.333333, rms=0.559 (0.046%), neg=0, invalid=1511 0215: dt=37.333333, rms=0.559 (0.039%), neg=0, invalid=1511 0216: dt=37.333333, rms=0.559 (0.043%), neg=0, invalid=1511 0217: dt=37.333333, rms=0.558 (0.052%), neg=0, invalid=1511 0218: dt=37.333333, rms=0.558 (0.043%), neg=0, invalid=1511 0219: dt=37.333333, rms=0.558 (0.021%), neg=0, invalid=1511 0220: dt=37.333333, rms=0.558 (0.019%), neg=0, invalid=1511 0221: dt=248.832004, rms=0.558 (0.064%), neg=0, invalid=1511 0222: dt=1.944000, rms=0.558 (0.001%), neg=0, invalid=1511 0223: dt=1.944000, rms=0.558 (-0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.558, neg=0, invalid=1511 0224: dt=109.782772, rms=0.555 (0.541%), neg=0, invalid=1511 0225: dt=41.846154, rms=0.553 (0.217%), neg=0, invalid=1511 0226: dt=74.666667, rms=0.553 (0.115%), neg=0, invalid=1511 0227: dt=36.288001, rms=0.552 (0.079%), neg=0, invalid=1511 0228: dt=145.152002, rms=0.551 (0.155%), neg=0, invalid=1511 0229: dt=36.288001, rms=0.551 (0.059%), neg=0, invalid=1511 0230: dt=145.152002, rms=0.550 (0.121%), neg=0, invalid=1511 0231: dt=25.920000, rms=0.550 (0.023%), neg=0, invalid=1511 0232: dt=25.920000, rms=0.550 (0.022%), neg=0, invalid=1511 0233: dt=25.920000, rms=0.550 (0.035%), neg=0, invalid=1511 0234: dt=25.920000, rms=0.550 (0.048%), neg=0, invalid=1511 0235: dt=25.920000, rms=0.549 (0.054%), neg=0, invalid=1511 0236: dt=25.920000, rms=0.549 (0.063%), neg=0, invalid=1511 0237: dt=25.920000, rms=0.549 (0.070%), neg=0, invalid=1511 0238: dt=25.920000, rms=0.548 (0.074%), neg=0, invalid=1511 0239: dt=25.920000, rms=0.548 (0.078%), neg=0, invalid=1511 0240: dt=25.920000, rms=0.548 (0.070%), neg=0, invalid=1511 0241: dt=25.920000, rms=0.547 (0.068%), neg=0, invalid=1511 0242: dt=25.920000, rms=0.547 (0.061%), neg=0, invalid=1511 0243: dt=25.920000, rms=0.547 (0.055%), neg=0, invalid=1511 0244: dt=25.920000, rms=0.546 (0.061%), neg=0, invalid=1511 0245: dt=25.920000, rms=0.546 (0.060%), neg=0, invalid=1511 0246: dt=25.920000, rms=0.546 (0.054%), neg=0, invalid=1511 0247: dt=25.920000, rms=0.545 (0.048%), neg=0, invalid=1511 0248: dt=25.920000, rms=0.545 (0.042%), neg=0, invalid=1511 0249: dt=25.920000, rms=0.545 (0.043%), neg=0, invalid=1511 0250: dt=25.920000, rms=0.545 (0.046%), neg=0, invalid=1511 0251: dt=25.920000, rms=0.544 (0.049%), neg=0, invalid=1511 0252: dt=25.920000, rms=0.544 (0.047%), neg=0, invalid=1511 0253: dt=25.920000, rms=0.544 (0.038%), neg=0, invalid=1511 0254: dt=25.920000, rms=0.544 (0.037%), neg=0, invalid=1511 0255: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0256: dt=25.920000, rms=0.543 (0.035%), neg=0, invalid=1511 0257: dt=25.920000, rms=0.543 (0.030%), neg=0, invalid=1511 0258: dt=25.920000, rms=0.543 (0.031%), neg=0, invalid=1511 0259: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0260: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0261: dt=25.920000, rms=0.542 (0.031%), neg=0, invalid=1511 0262: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511 0263: dt=25.920000, rms=0.542 (0.029%), neg=0, invalid=1511 0264: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511 0265: dt=25.920000, rms=0.542 (0.030%), neg=0, invalid=1511 0266: dt=25.920000, rms=0.542 (0.034%), neg=0, invalid=1511 0267: dt=25.920000, rms=0.541 (0.025%), neg=0, invalid=1511 0268: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511 0269: dt=25.920000, rms=0.541 (0.023%), neg=0, invalid=1511 0270: dt=25.920000, rms=0.541 (0.032%), neg=0, invalid=1511 0271: dt=25.920000, rms=0.541 (0.030%), neg=0, invalid=1511 0272: dt=25.920000, rms=0.541 (0.024%), neg=0, invalid=1511 0273: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511 0274: dt=103.680002, rms=0.540 (0.007%), neg=0, invalid=1511 0275: dt=103.680002, rms=0.540 (0.008%), neg=0, invalid=1511 0276: dt=103.680002, rms=0.540 (-0.067%), neg=0, invalid=1511 setting smoothness coefficient to 0.12 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.552, neg=0, invalid=1511 0277: dt=8.851064, rms=0.551 (0.074%), neg=0, invalid=1511 0278: dt=8.000000, rms=0.551 (0.024%), neg=0, invalid=1511 0279: dt=8.000000, rms=0.551 (0.016%), neg=0, invalid=1511 0280: dt=8.000000, rms=0.551 (-0.007%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.551, neg=0, invalid=1511 0281: dt=52.411523, rms=0.546 (0.892%), neg=0, invalid=1511 0282: dt=18.418605, rms=0.544 (0.328%), neg=0, invalid=1511 0283: dt=33.446328, rms=0.543 (0.317%), neg=0, invalid=1511 0284: dt=12.745763, rms=0.542 (0.188%), neg=0, invalid=1511 0285: dt=62.745098, rms=0.540 (0.347%), neg=0, invalid=1511 0286: dt=21.034268, rms=0.538 (0.259%), neg=0, invalid=1511 0287: dt=19.200000, rms=0.537 (0.248%), neg=0, invalid=1511 0288: dt=11.200000, rms=0.537 (0.075%), neg=0, invalid=1511 0289: dt=128.000002, rms=0.534 (0.491%), neg=0, invalid=1511 0290: dt=16.000000, rms=0.533 (0.150%), neg=0, invalid=1511 0291: dt=39.360000, rms=0.532 (0.244%), neg=0, invalid=1511 0292: dt=15.703704, rms=0.531 (0.146%), neg=0, invalid=1511 0293: dt=44.800001, rms=0.530 (0.195%), neg=0, invalid=1511 0294: dt=11.466667, rms=0.530 (0.090%), neg=0, invalid=1511 0295: dt=179.200003, rms=0.527 (0.478%), neg=0, invalid=1511 0296: dt=19.047619, rms=0.526 (0.124%), neg=0, invalid=1511 0297: dt=31.020408, rms=0.525 (0.161%), neg=0, invalid=1511 0298: dt=15.000000, rms=0.525 (0.101%), neg=0, invalid=1511 0299: dt=20.740741, rms=0.525 (0.049%), neg=0, invalid=1511 0300: dt=20.740741, rms=0.525 (0.031%), neg=0, invalid=1511 0301: dt=20.740741, rms=0.524 (0.144%), neg=0, invalid=1511 0302: dt=20.740741, rms=0.523 (0.121%), neg=0, invalid=1511 0303: dt=20.740741, rms=0.522 (0.182%), neg=0, invalid=1511 0304: dt=20.740741, rms=0.521 (0.164%), neg=0, invalid=1511 0305: dt=20.740741, rms=0.520 (0.222%), neg=0, invalid=1511 0306: dt=20.740741, rms=0.519 (0.232%), neg=0, invalid=1511 0307: dt=20.740741, rms=0.518 (0.170%), neg=0, invalid=1511 0308: dt=20.740741, rms=0.517 (0.216%), neg=0, invalid=1511 0309: dt=20.740741, rms=0.516 (0.232%), neg=0, invalid=1511 0310: dt=20.740741, rms=0.515 (0.160%), neg=0, invalid=1511 0311: dt=20.740741, rms=0.514 (0.194%), neg=0, invalid=1511 0312: dt=20.740741, rms=0.513 (0.186%), neg=0, invalid=1511 0313: dt=20.740741, rms=0.512 (0.119%), neg=0, invalid=1511 0314: dt=20.740741, rms=0.511 (0.183%), neg=0, invalid=1511 0315: dt=20.740741, rms=0.511 (0.149%), neg=0, invalid=1511 0316: dt=20.740741, rms=0.510 (0.095%), neg=0, invalid=1511 0317: dt=20.740741, rms=0.510 (0.133%), neg=0, invalid=1511 0318: dt=20.740741, rms=0.509 (0.108%), neg=0, invalid=1511 0319: dt=20.740741, rms=0.509 (0.072%), neg=0, invalid=1511 0320: dt=20.740741, rms=0.508 (0.100%), neg=0, invalid=1511 0321: dt=20.740741, rms=0.508 (0.064%), neg=0, invalid=1511 0322: dt=20.740741, rms=0.507 (0.061%), neg=0, invalid=1511 0323: dt=20.740741, rms=0.507 (0.079%), neg=0, invalid=1511 0324: dt=20.740741, rms=0.507 (0.047%), neg=0, invalid=1511 0325: dt=20.740741, rms=0.507 (0.056%), neg=0, invalid=1511 0326: dt=20.740741, rms=0.506 (0.068%), neg=0, invalid=1511 0327: dt=20.740741, rms=0.506 (0.044%), neg=0, invalid=1511 0328: dt=20.740741, rms=0.506 (0.049%), neg=0, invalid=1511 0329: dt=20.740741, rms=0.506 (0.040%), neg=0, invalid=1511 0330: dt=20.740741, rms=0.505 (0.035%), neg=0, invalid=1511 0331: dt=20.740741, rms=0.505 (0.062%), neg=0, invalid=1511 0332: dt=20.740741, rms=0.505 (0.048%), neg=0, invalid=1511 0333: dt=20.740741, rms=0.505 (0.034%), neg=0, invalid=1511 0334: dt=20.740741, rms=0.504 (0.054%), neg=0, invalid=1511 0335: dt=20.740741, rms=0.504 (0.021%), neg=0, invalid=1511 0336: dt=20.740741, rms=0.504 (0.044%), neg=0, invalid=1511 0337: dt=20.740741, rms=0.504 (0.033%), neg=0, invalid=1511 0338: dt=20.740741, rms=0.504 (0.018%), neg=0, invalid=1511 0339: dt=20.740741, rms=0.504 (0.035%), neg=0, invalid=1511 0340: dt=20.740741, rms=0.503 (0.030%), neg=0, invalid=1511 0341: dt=20.740741, rms=0.503 (0.022%), neg=0, invalid=1511 0342: dt=20.740741, rms=0.503 (0.043%), neg=0, invalid=1511 0343: dt=20.740741, rms=0.503 (0.020%), neg=0, invalid=1511 0344: dt=20.740741, rms=0.503 (0.025%), neg=0, invalid=1511 0345: dt=20.740741, rms=0.503 (0.032%), neg=0, invalid=1511 0346: dt=20.740741, rms=0.503 (0.010%), neg=0, invalid=1511 0347: dt=20.740741, rms=0.503 (0.009%), neg=0, invalid=1511 0348: dt=14.400000, rms=0.503 (0.020%), neg=0, invalid=1511 0349: dt=6.400000, rms=0.503 (0.005%), neg=0, invalid=1511 0350: dt=6.400000, rms=0.502 (0.003%), neg=0, invalid=1511 0351: dt=6.400000, rms=0.502 (0.002%), neg=0, invalid=1511 0352: dt=6.400000, rms=0.502 (0.004%), neg=0, invalid=1511 0353: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511 0354: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511 setting smoothness coefficient to 0.40 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.525, neg=0, invalid=1511 0355: dt=0.000000, rms=0.525 (-0.001%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.525, neg=0, invalid=1511 0356: dt=0.000000, rms=0.525 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 1.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.571, neg=0, invalid=1511 0357: dt=1.096026, rms=0.568 (0.531%), neg=0, invalid=1511 0358: dt=0.256000, rms=0.568 (0.012%), neg=0, invalid=1511 0359: dt=0.256000, rms=0.568 (-0.010%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.568, neg=0, invalid=1511 0360: dt=0.820896, rms=0.567 (0.131%), neg=0, invalid=1511 0361: dt=0.256000, rms=0.567 (0.007%), neg=0, invalid=1511 0362: dt=0.256000, rms=0.567 (-0.004%), neg=0, invalid=1511 resetting metric properties... setting smoothness coefficient to 2.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.512, neg=0, invalid=1511 0363: dt=0.448000, rms=0.497 (2.912%), neg=0, invalid=1511 0364: dt=0.448000, rms=0.495 (0.412%), neg=0, invalid=1511 0365: dt=0.448000, rms=0.493 (0.311%), neg=0, invalid=1511 0366: dt=0.320000, rms=0.493 (0.134%), neg=0, invalid=1511 0367: dt=0.028000, rms=0.493 (0.009%), neg=0, invalid=1511 0368: dt=0.028000, rms=0.493 (0.010%), neg=0, invalid=1511 0369: dt=0.028000, rms=0.493 (0.017%), neg=0, invalid=1511 0370: dt=0.028000, rms=0.492 (0.024%), neg=0, invalid=1511 0371: dt=0.028000, rms=0.492 (0.031%), neg=0, invalid=1511 0372: dt=0.028000, rms=0.492 (0.035%), neg=0, invalid=1511 0373: dt=0.028000, rms=0.492 (0.039%), neg=0, invalid=1511 0374: dt=0.028000, rms=0.492 (0.042%), neg=0, invalid=1511 0375: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0376: dt=0.028000, rms=0.491 (0.043%), neg=0, invalid=1511 0377: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0378: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0379: dt=0.028000, rms=0.491 (0.040%), neg=0, invalid=1511 0380: dt=0.028000, rms=0.490 (0.040%), neg=0, invalid=1511 0381: dt=0.028000, rms=0.490 (0.035%), neg=0, invalid=1511 0382: dt=0.028000, rms=0.490 (0.034%), neg=0, invalid=1511 0383: dt=0.028000, rms=0.490 (0.029%), neg=0, invalid=1511 0384: dt=0.028000, rms=0.490 (0.029%), neg=0, invalid=1511 0385: dt=0.028000, rms=0.490 (0.026%), neg=0, invalid=1511 0386: dt=0.028000, rms=0.490 (0.023%), neg=0, invalid=1511 0387: dt=0.028000, rms=0.489 (0.020%), neg=0, invalid=1511 0388: dt=0.000015, rms=0.489 (-0.001%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.489, neg=0, invalid=1511 0389: dt=0.448000, rms=0.483 (1.320%), neg=0, invalid=1511 0390: dt=0.320000, rms=0.483 (0.058%), neg=0, invalid=1511 0391: dt=0.031250, rms=0.483 (0.005%), neg=0, invalid=1511 0392: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511 0393: dt=0.031250, rms=0.483 (0.009%), neg=0, invalid=1511 0394: dt=0.031250, rms=0.483 (0.012%), neg=0, invalid=1511 0395: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511 0396: dt=0.031250, rms=0.483 (0.008%), neg=0, invalid=1511 0397: dt=0.031250, rms=0.482 (0.010%), neg=0, invalid=1511 0398: dt=0.031250, rms=0.482 (0.014%), neg=0, invalid=1511 0399: dt=0.031250, rms=0.482 (0.015%), neg=0, invalid=1511 0400: dt=0.031250, rms=0.482 (0.017%), neg=0, invalid=1511 0401: dt=0.015625, rms=0.482 (0.001%), neg=0, invalid=1511 0402: dt=0.096000, rms=0.482 (0.008%), neg=0, invalid=1511 0403: dt=0.020000, rms=0.482 (0.003%), neg=0, invalid=1511 label assignment complete, 0 changed (0.00%) ***************** morphing with label term set to 0 ******************************* label assignment complete, 0 changed (0.00%) **************** pass 1 of 1 ************************ setting smoothness coefficient to 0.01 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.480, neg=0, invalid=1511 0404: dt=2.023000, rms=0.480 (-0.069%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.480, neg=0, invalid=1511 0405: dt=129.472002, rms=0.480 (0.189%), neg=0, invalid=1511 0406: dt=110.976002, rms=0.479 (0.045%), neg=0, invalid=1511 0407: dt=110.976002, rms=0.479 (0.039%), neg=0, invalid=1511 0408: dt=110.976002, rms=0.479 (0.044%), neg=0, invalid=1511 0409: dt=110.976002, rms=0.479 (0.041%), neg=0, invalid=1511 0410: dt=110.976002, rms=0.479 (0.020%), neg=0, invalid=1511 0411: dt=110.976002, rms=0.479 (0.015%), neg=0, invalid=1511 0412: dt=129.472002, rms=0.478 (0.024%), neg=0, invalid=1511 0413: dt=73.984001, rms=0.478 (0.006%), neg=0, invalid=1511 0414: dt=73.984001, rms=0.478 (0.007%), neg=0, invalid=1511 0415: dt=73.984001, rms=0.478 (0.010%), neg=0, invalid=1511 0416: dt=73.984001, rms=0.478 (0.012%), neg=0, invalid=1511 0417: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511 0418: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511 setting smoothness coefficient to 0.03 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.478, neg=0, invalid=1511 0419: dt=0.000000, rms=0.478 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.478, neg=0, invalid=1511 0420: dt=145.152002, rms=0.476 (0.360%), neg=0, invalid=1511 0421: dt=82.944001, rms=0.476 (0.107%), neg=0, invalid=1511 0422: dt=46.545455, rms=0.476 (0.067%), neg=0, invalid=1511 0423: dt=82.944001, rms=0.475 (0.074%), neg=0, invalid=1511 0424: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511 0425: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511 0426: dt=44.800000, rms=0.475 (0.056%), neg=0, invalid=1511 0427: dt=44.800000, rms=0.474 (0.077%), neg=0, invalid=1511 0428: dt=44.800000, rms=0.474 (0.072%), neg=0, invalid=1511 0429: dt=22.400000, rms=0.474 (0.019%), neg=0, invalid=1511 0430: dt=11.200000, rms=0.474 (0.005%), neg=0, invalid=1511 0431: dt=9.072000, rms=0.474 (0.004%), neg=0, invalid=1511 0432: dt=1.134000, rms=0.474 (0.000%), neg=0, invalid=1511 0433: dt=0.567000, rms=0.474 (0.000%), neg=0, invalid=1511 0434: dt=0.283500, rms=0.474 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 0.12 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0435: dt=0.002734, rms=0.474 (0.000%), neg=0, invalid=1511 0436: dt=0.000488, rms=0.474 (0.000%), neg=0, invalid=1511 0437: dt=0.000031, rms=0.474 (0.000%), neg=0, invalid=1511 0438: dt=0.000015, rms=0.474 (0.000%), neg=0, invalid=1511 0439: dt=0.000004, rms=0.474 (-0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0440: dt=0.000000, rms=0.474 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 0.40 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.475, neg=0, invalid=1511 0441: dt=0.000000, rms=0.475 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.475, neg=0, invalid=1511 0442: dt=0.000000, rms=0.475 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 1.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.476, neg=0, invalid=1511 0443: dt=0.000000, rms=0.476 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.476, neg=0, invalid=1511 0444: dt=0.000000, rms=0.476 (0.000%), neg=0, invalid=1511 resetting metric properties... setting smoothness coefficient to 2.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation fault ERROR: mri_ca_register with non-zero status
Giri and Binyam,
This problem was encountered once before (by Binyam), and I was not able to recreate the segmentation fault locally, so can one or both of you do the following to help me debug this problem? I have posted a version of mri_ca_register which contains the debugging symbols here:
ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/fsdev/nicks/stable
There is a version for each Linux platform. Install it in your $FREESURFER_HOME, after gunzipping it.
When a segfault occurs, it creates a file called 'core' in the directory where mri_ca_register was running. You should see one there now in your subjects mri dir. But the core file you have now does not contain debugging symbols, so I need you rerun mri_ca_register (by just running the -autorecon2 stage again), and when it generates another core file (make sure the date matches when it occurred in the recon-all.log), I'd like you to send me that file (named 'core') via this filedrop:
https://www.nmr.mgh.harvard.edu/facility/filedrop/index.html
and I can open it in gdb and see where in the code the problem is occurring.
Thanks,
Nick
On Fri, 2007-02-23 at 12:05 -0500, Giri Prashanth wrote:
Hi Freesurfer experts,
I have encountered the following error running the reconall - autorecon2 script,
blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation fault ERROR: mri_ca_register with non-zero status
The complete ouput from the log file is attached below.
I ran the autorecon1 earlier without any errors. The talirach transformation and skull stripping went fine on examination. There were also no memory errors logged in var/spool/mail directory.
I am currently using Red Hat Enterprise Linux Client release 4.91 (Tikanga), with 2GB RAM on 64-bit Intel dual core.
I would greatly appreciate any help on this.
Thanks, -Giri
/usr/local/bin/freesurfer/subjects/GK1 /usr/local/bin/freesurfer/bin/recon-all -autorecon2 -sid GK1 subjid GK1 setenv SUBJECTS_DIR /usr/local/bin/freesurfer/subjects FREESURFER_HOME /usr/local/bin/freesurfer Actual FREESURFER_HOME /usr/local/bin/freesurfer build-stamp.txt: freesurfer-Linux-centos4_x86_64-stable-pub-v3.0.4 Linux lab1 2.6.17-1.2519.4.21.el5 #1 SMP Wed Aug 30 18:18:28 EDT 2006 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 1024 memorylocked 32 kbytes maxproc 16369 ######################################## program versions used $Id: recon-all,v MailScanner has detected a possible fraud attempt from "1.17.2.15" claiming to beMailScanner warning: numerical links are often malicious: 1.17.2.15 2006/11/21 04:58:13 nicks Exp $ $Id: mri_motion_correct.fsl,v 1.4 2006/01/01 21:56:44 greve Exp $ mri_convert -all-info ProgramName: mri_convert ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_convert.c,v MailScanner has detected a possible fraud attempt from "1.121.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.121.2.1 2006/08/28 18:00:04 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 $Id: talairach,v 1.2 2005/12/12 23:04:35 greve Exp $ mri_convert --version stable3 Program nu_correct, built from: Package MNI N3, version 1.10, compiled by nicks@minerva (x86_64- unknown-linux-gnu) on 2005-11-15 at 20:37:35 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_normalize.c,v MailScanner has detected a possible fraud attempt from "1.44.2.2" claiming to beMailScanner warning: numerical links are often malicious: 1.44.2.2 2006/06/28 23:38:13 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_watershed.cpp,v 1.48 2006/02/27 16:57:57 segonne Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_segment.c,v MailScanner has detected a possible fraud attempt from "1.28.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.28.2.1 2006/04/12 02:02:58 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_fill.c,v 1.101 2006/02/22 23:05:06 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_tessellate.c,v MailScanner has detected a possible fraud attempt from "1.27.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.27.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_smooth.c,v MailScanner has detected a possible fraud attempt from "1.13.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.13.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_inflate.c,v MailScanner has detected a possible fraud attempt from "1.30.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.30.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_sphere.c,v 1.38 2006/02/08 00:17:40 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_fix_topology.c,v 1.41 2006/02/06 19:41:59 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_euler_number.c,v 1.4 2003/09/05 04:45:41 kteich Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_make_surfaces.c,v MailScanner has detected a possible fraud attempt from "1.70.2.5" claiming to beMailScanner warning: numerical links are often malicious: 1.70.2.5 2006/07/18 18:26:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_register.c,v 1.32 2005/12/07 14:22:57 fischl Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mrisp_paint.c,v 1.6 2005/02/14 04:30:19 segonne Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_label2label ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_label2label.c,v MailScanner has detected a possible fraud attempt from "1.23.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.23.2.1 2006/09/20 20:42:55 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_em_register.c,v 1.52 2006/01/11 21:01:40 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_normalize.c,v 1.31 2005/08/15 14:14:22 fischl Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_register.c,v MailScanner has detected a possible fraud attempt from "1.48.2.7" claiming to beMailScanner warning: numerical links are often malicious: 1.48.2.7 2006/10/24 01:48:52 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_label.c,v MailScanner has detected a possible fraud attempt from "1.68.2.2" claiming to beMailScanner warning: numerical links are often malicious: 1.68.2.2 2006/08/16 00:18:42 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ####################################### GCA RB_all_2006-02-15.gca GCASkull RB_all_withskull_2006-02-15.gca AvgCurvTif average.curvature.filled.buckner40.tif GCS curvature.buckner40.filled.desikan_killiany.gcs ####################################### #------------------------------------- #@# EM Registration Thu Feb 22 15:13:40 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_em_register -mask brainmask.mgz nu.mgz /usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.lta
using MR volume brainmask.mgz to mask input volume... reading 1 input volumes... logging results to talairach.log reading '/usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca'... setting gca type = Normal gca type average std = 7.4 using min determinant for regularization = 5.5 0 singular and 1662 ill-conditioned covariance matrices regularized reading 'nu.mgz'... total sample mean = 87.9 (483 zeros) register_mri: find_optimal_transform find_optimal_transform: nsamples 2242, passno 0, spacing 8
First Search limited to translation only.
Found translation: (-2.0, 32.7, 2.0): log p = -23693.6 Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p =-23693.6 (thresh=-23669.9) 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000; Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p =-14331.5 (thresh=-14317.2) 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000; dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; nsamples 2242 Quasinewton: input matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; pass 2 through quasi-newton minimization... pass 3 through quasi-newton minimization... pass 4 through quasi-newton minimization... fp = 14318.311523, fret = 14318.311523, ftol = 0.000010, EPS = 0.000000 dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; nsamples 242283 Quasinewton: input matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; pass 2 through quasi-newton minimization... pass 3 through quasi-newton minimization... pass 4 through quasi-newton minimization... pass 5 through quasi-newton minimization... pass 6 through quasi-newton minimization... freeing gibbs priors...done. bounding unknown intensity as < 16.0 or > 799.3
spacing=8, using 2242 sample points, tol=1.00e-05...
resetting wm mean[0]: 109 --> 116 resetting gm mean[0]: 68 --> 68 input volume #1 is the most T1-like using real data threshold=24.0 using (106, 68, 109) as brain centroid... mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find MRI wm before smoothing, mri peak at 98 after smoothing, mri peak at 96, scaling input intensities by 1.208 scaling channel 0 by 1.20833 initial log_p = -93140.0
Nine parameter search. iteration 0 nscales = 0 ...
Nine parameter search. iteration 1 nscales = 1 ...
reducing scale to 0.2500
Computing MAP estimate using 2242 samples...
dfp_em_step_func: 002: -log(p) = 14331.5 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 003: -log(p) = 14324.0 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, - 1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 004: -log(p) = 14319.0 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 005: -log(p) = 14318.3 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00 , 13.01) outof QuasiNewtonEMA: 007: -log(p) = 14318.3 tol 0.000010 Resulting transform: 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000;
pass 1, spacing 8: log(p) = -14331.5 (old=-93140.0) transform before final EM align: 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000;
EM alignment process ... Computing final MAP estimate using 242283 samples.
dfp_em_step_func: 006: -log(p) = 1813558.6 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 007: -log(p) = 1806361.1 after pass:transform: ( 1.12, -0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 008: -log(p) = 1801868.9 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( -0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 009: -log(p) = 1797434.0 after pass:transform: ( 1.12, 0.00, 0.00 , -18.07) ( 0.00, 1.18, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 010: -log(p) = 1796255.2 after pass:transform: ( 1.12, 0.00, 0.01, -18.07) ( 0.00, 1.17, 0.19, -1.64) ( -0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 011: -log(p) = 1791314.1 after pass:transform: ( 1.12, 0.00, 0.01, -18.07) ( 0.00, 1.17, 0.19 , -1.64) ( 0.00, -0.12, 0.99, 13.01) outof QuasiNewtonEMA: 013: -log(p) = 1789155.6 tol 0.000000 final transform: 1.117 0.001 0.009 -18.071; 0.001 1.172 0.192 -1.635; 0.000 -0.125 0.991 13.008; 0.000 0.000 0.000 1.000;
writing output transformation to transforms/talairach.lta... registration took 3 minutes and 36 seconds. #-------------------------------------- #@# CA Normalize Thu Feb 22 15:17:16 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_ca_normalize -mask brainmask.mgz nu.mgz /usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca transforms/talairach.lta norm.mgz
using MR volume brainmask.mgz to mask input volume... reading 1 input volumes reading atlas from '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'... setting gca type = Normal gca type reading transform from 'transforms/talairach.lta'... INFO: compute sample coordinates transform 1.117 0.001 0.009 -18.071; 0.001 1.172 0.192 -1.635; 0.000 -0.125 0.991 13.008; 0.000 0.000 0.000 1.000; INFO: transform used reading input volume from nu.mgz... resetting wm mean[0]: 109 --> 116 resetting gm mean[0]: 68 --> 68 input volume #1 is the most T1-like using real data threshold= 24.0 using (106, 68, 109) as brain centroid... mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find MRI wm before smoothing, mri peak at 98 after smoothing, mri peak at 96, scaling input intensities by 1.208 scaling channel 0 by 1.20833 using 242283 sample points... finding control points in Left_Cerebral_White_Matter.... found 38929 control points for structure... bounding box (128, 31, 26) --> (187, 125, 191) Left_Cerebral_White_Matter: limiting intensities to 106.0 --> 124.0 195 of 724 (26.9%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 38531 control points for structure... bounding box (71, 32, 26) --> (128, 125, 192) Right_Cerebral_White_Matter: limiting intensities to 107.0 --> 122.0 330 of 725 (45.5%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3087 control points for structure... bounding box (130, 107, 52) --> (171, 142, 105) Left_Cerebellum_White_Matter: limiting intensities to 113.0 --> 118.0 59 of 110 (53.6%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2900 control points for structure... bounding box (87, 108, 49) --> (128, 142, 105) Right_Cerebellum_White_Matter: limiting intensities to 95.0 --> 109.0 30 of 93 (32.3%) samples deleted finding control points in Brain_Stem.... found 3414 control points for structure... bounding box (112, 94, 86) --> (142, 155, 116) Brain_Stem: limiting intensities to 91.0 --> 106.0 64 of 186 (34.4%) samples deleted using 1838 total control points for intensity normalization... bias field = 0.962 +- 0.069 0 of 1160 control points discarded writing normalized volume to norm.mgz... freeing GCA...done. normalization took 0 minutes and 44 seconds. #-------------------------------------- #@# CA Reg Thu Feb 22 15:18:01 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_ca_register -align -nobigventricles -mask brainmask.mgz -T transforms/talairach.lta norm.mgz /usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.m3z
renormalizing sequences with structure alignment, equivalent to: -renormalize -regularize_mean 0.500 -regularize 0.500 not handling expanded ventricles... using MR volume brainmask.mgz to mask input volume... using previously computed transform transforms/talairach.lta reading 1 input volumes... logging results to talairach.log reading input volume 'norm.mgz '... reading GCA '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'... setting gca type = Normal gca type freeing gibbs priors...done. average std[0] = 5.0 label assignment complete, 0 changed ( 0.00%) renormalizing by structure alignment.... renormalizing input #0 aligning Left_Pallidum... gca peak = 0.11705 (100) mri peak = 0.13848 (105) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (433 voxels, overlap= 0.650) aligning Right_Pallidum... gca peak = 0.13501 (106) mri peak = 0.12646 (103) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (703 voxels, overlap=0.936) aligning Right_Cerebral_White_Matter... gca peak = 0.05652 (116) mri peak = 0.07903 (114) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (87439 voxels, overlap=0.552) aligning Left_Cerebral_White_Matter... gca peak = 0.05682 (116) mri peak = 0.06608 (112) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (98179 voxels, overlap=0.498) aligning Left_Lateral_Ventricle... gca peak = 0.05153 (25) mri peak = 0.03578 (36) unreasonable value (46.9), not in range [ 0, 40] - rejecting aligning Right_Lateral_Ventricle... gca peak = 0.07557 (30) mri peak = 0.04038 (37) unreasonable value (46.5), not in range [ 0, 40] - rejecting aligning Right_Hippocampus... gca peak = 0.14805 (66) mri peak = 0.08220 (79) Right_Hippocampus (53): linear fit = 1.23 x + 0.0 (1589 voxels, overlap=0.091) aligning Left_Hippocampus... gca peak = 0.17297 (66) mri peak = 0.07333 (81) Left_Hippocampus (17): linear fit = 1.23 x + 0.0 (1080 voxels, overlap=0.100) aligning Left_Cerebral_Cortex... gca peak = 0.05671 (68) mri peak = 0.02650 (89) uniform distribution in MR - rejecting arbitrary fit aligning Right_Cerebral_Cortex... gca peak = 0.06581 (70) mri peak = 0.02773 (91) uniform distribution in MR - rejecting arbitrary fit aligning Right_Caudate... gca peak = 0.07786 (81) mri peak = 0.16928 (95) Right_Caudate (50): linear fit = 1.20 x + 0.0 (1008 voxels, overlap=0.048) aligning Left_Caudate... gca peak = 0.07814 (81) mri peak = 0.11708 (92) Left_Caudate (11): linear fit = 1.12 x + 0.0 (876 voxels, overlap=0.330) aligning Left_Cerebellum_Cortex... gca peak = 0.06033 (63) mri peak = 0.04440 (84) Left_Cerebellum_Cortex (8): linear fit = 1.35 x + 0.0 (34294 voxels, overlap=0.004) aligning Right_Cerebellum_Cortex... gca peak = 0.05990 (64) mri peak = 0.04660 (85) Right_Cerebellum_Cortex (47): linear fit = 1.33 x + 0.0 (40922 voxels, overlap=0.022) aligning Left_Cerebellum_White_Matter... gca peak = 0.09299 (92) mri peak = 0.09884 (97) Left_Cerebellum_White_Matter (7): linear fit = 1.08 x + 0.0 (7197 voxels, overlap=0.337) aligning Right_Cerebellum_White_Matter... gca peak = 0.08899 (93) mri peak = 0.10077 (95) Right_Cerebellum_White_Matter (46): linear fit = 1.05 x + 0.0 (9203 voxels, overlap= 0.538) aligning Left_Amygdala... gca peak = 0.13911 (71) mri peak = 0.13021 (81) Left_Amygdala (18): linear fit = 1.15 x + 0.0 (466 voxels, overlap=0.093) aligning Right_Amygdala... gca peak = 0.15703 (65) mri peak = 0.07413 (82) Right_Amygdala (54): linear fit = 1.27 x + 0.0 (621 voxels, overlap=0.009) aligning Left_Thalamus_Proper... gca peak = 0.06537 (100) mri peak = 0.11424 (101) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (3570 voxels, overlap=0.500) aligning Right_Thalamus_Proper... gca peak = 0.07019 (99) mri peak = 0.09504 (98) Right_Thalamus_Proper (49): linear fit = 0.98 x + 0.0 (3540 voxels, overlap=0.526) aligning Left_Putamen... gca peak = 0.09468 (90) mri peak = 0.11889 (97) Left_Putamen (12): linear fit = 1.08 x + 0.0 (2476 voxels, overlap=0.278) aligning Right_Putamen... gca peak = 0.07184 (82) mri peak = 0.10599 (95) Right_Putamen (51): linear fit = 1.08 x + 0.0 (2916 voxels, overlap=0.391) aligning Brain_Stem... gca peak = 0.05597 (80) mri peak = 0.09565 (93) Brain_Stem (16): linear fit = 1.00 x + 0.0 (14224 voxels, overlap= 0.438) aligning Right_VentralDC... gca peak = 0.05879 (97) mri peak = 0.08609 (102) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (2104 voxels, overlap=0.454) aligning Left_VentralDC... gca peak = 0.06932 (98) mri peak = 0.10655 (100) Left_VentralDC (28): linear fit = 0.95 x + 0.0 (1910 voxels, overlap=0.480) aligning Third_Ventricle... gca peak = 0.10105 (38) mri peak = 0.07224 (35) unreasonable value ( 47.5), not in range [ 0, 40] - rejecting aligning Fourth_Ventricle... gca peak = 0.10426 (32) mri peak = 0.11254 (32) not using caudate to estimate GM means Fourth_Ventricle (15): linear fit = 1.12 x + 0.0 (847 voxels, overlap= 0.417) estimating mean gm scale to be 1.22 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 1.12 x + 0.0 22 transforms computed 0000: dt=0.000000, rms=0.793 (0.168%), neg=0, invalid=1511, LIN 0001: dt=0.000000, rms=0.793 (0.017%), neg=0, invalid=1511, LIN rms increased - undoing step... 0002: dt=0.000000, rms=0.793 (-0.154%), neg=0, invalid=1511, LIN rms increased - undoing step... 0004: dt=0.000000 , rms=0.793 (-0.176%), neg=0, invalid=1511, LIN rms increased - undoing step... 0006: dt=0.000000, rms=0.789 (-0.250%), neg=0, invalid=1511, LIN rms increased - undoing step... 0008: dt=0.000000, rms=0.789 (-0.236% ), neg=0, invalid=1511, LIN rms increased - undoing step... 0010: dt=0.000000, rms=0.789 (-0.226%), neg=0, invalid=1511, LIN rms increased - undoing step... 0012: dt=0.000000, rms=0.787 (-0.184%), neg=0, invalid=1511, LIN rms increased - undoing step... 0014: dt=0.000000, rms=0.787 (-0.180%), neg=0, invalid=1511, LIN rms increased - undoing step... 0016: dt=0.000000, rms=0.787 (-0.171%), neg=0, invalid=1511, LIN rms increased - undoing step... 0018: dt=0.000000, rms=0.787 (-0.169%), neg=0, invalid=1511, LIN label assignment complete, 0 changed (0.00%) **************** pass 1 of 1 ************************ setting smoothness coefficient to 0.01 blurring input image with Gaussian with sigma= 2.000... 0000: dt=0.000, rms=0.782, neg=0, invalid=1511 0021: dt=185.732255, rms=0.718 (8.200%), neg=0, invalid=1511 0022: dt=197.104294, rms=0.696 (3.066%), neg=0, invalid=1511 0023: dt=113.120000, rms=0.686 ( 1.357%), neg=0, invalid=1511 0024: dt=443.904007, rms=0.674 (1.792%), neg=0, invalid=1511 0025: dt=84.339726, rms=0.668 (0.793%), neg=0, invalid=1511 0026: dt=517.888008, rms=0.663 (0.805%), neg=0, invalid=1511 0027: dt=129.472002, rms=0.660 (0.444%), neg=0, invalid=1511 0028: dt=110.976002, rms=0.660 (0.072%), neg=0, invalid=1511 0029: dt=887.808013, rms=0.654 (0.900%), neg=0, invalid=1511 0030: dt=80.000000, rms=0.653 (0.182%), neg=0, invalid=1511 0031: dt=517.888008, rms=0.651 (0.166%), neg=0, invalid=1511 0032: dt=129.472002, rms=0.649 (0.329%), neg=0, invalid=1511 0033: dt=32.368000, rms=0.649 (0.004%), neg=0, invalid=1511 0034: dt=32.368000, rms=0.649 (0.005%), neg=0, invalid=1511 0035: dt=32.368000, rms=0.649 (0.010%), neg=0, invalid=1511 0036: dt=32.368000, rms=0.649 (0.024%), neg=0, invalid=1511 0037: dt=32.368000, rms=0.649 (0.053%), neg=0, invalid=1511 0038: dt=32.368000, rms=0.648 (0.092%), neg=0, invalid=1511 0039: dt=32.368000, rms=0.647 (0.118%), neg=0, invalid=1511 0040: dt=32.368000, rms=0.647 (0.124%), neg=0, invalid=1511 0041: dt=32.368000, rms=0.646 (0.118%), neg=0, invalid=1511 0042: dt=32.368000, rms=0.645 (0.104%), neg=0, invalid=1511 0043: dt=32.368000, rms=0.645 (0.093%), neg=0, invalid=1511 0044: dt=32.368000, rms=0.644 (0.089% ), neg=0, invalid=1511 0045: dt=32.368000, rms=0.643 (0.095%), neg=0, invalid=1511 0046: dt=32.368000, rms=0.643 (0.098%), neg=0, invalid=1511 0047: dt=32.368000, rms=0.642 (0.104%), neg=0, invalid=1511 0048: dt= 32.368000, rms=0.641 (0.110%), neg=0, invalid=1511 0049: dt=32.368000, rms=0.641 (0.109%), neg=0, invalid=1511 0050: dt=32.368000, rms=0.640 (0.101%), neg=0, invalid=1511 0051: dt=32.368000, rms=0.639 (0.089%), neg=0, invalid=1511 0052: dt=32.368000, rms=0.639 (0.078%), neg=0, invalid=1511 0053: dt=32.368000, rms=0.638 (0.074%), neg=0, invalid=1511 0054: dt=32.368000, rms=0.638 (0.067%), neg=0, invalid=1511 0055: dt=32.368000, rms=0.638 (0.063%), neg=0, invalid=1511 0056: dt=32.368000, rms=0.637 (0.063%), neg=0, invalid=1511 0057: dt=32.368000, rms=0.637 (0.075%), neg=0, invalid=1511 0058: dt=32.368000, rms=0.636 (0.084%), neg=0, invalid=1511 0059: dt=32.368000, rms=0.636 (0.085%), neg=0, invalid=1511 0060: dt=32.368000, rms=0.635 (0.077%), neg=0, invalid=1511 0061: dt=32.368000, rms=0.635 (0.071%), neg=0, invalid=1511 0062: dt=32.368000, rms=0.634 (0.059% ), neg=0, invalid=1511 0063: dt=32.368000, rms=0.634 (0.057%), neg=0, invalid=1511 0064: dt=32.368000, rms=0.634 (0.051%), neg=0, invalid=1511 0065: dt=32.368000, rms=0.633 (0.048%), neg=0, invalid=1511 0066: dt= 32.368000, rms=0.633 (0.048%), neg=0, invalid=1511 0067: dt=32.368000, rms=0.633 (0.046%), neg=0, invalid=1511 0068: dt=32.368000, rms=0.632 (0.045%), neg=0, invalid=1511 0069: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511 0070: dt=32.368000, rms=0.632 (0.049%), neg=0, invalid=1511 0071: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511 0072: dt=32.368000, rms=0.631 (0.047%), neg=0, invalid=1511 0073: dt=32.368000, rms=0.631 (0.045%), neg=0, invalid=1511 0074: dt=32.368000, rms=0.631 (0.043%), neg=0, invalid=1511 0075: dt=32.368000, rms=0.630 (0.039%), neg=0, invalid=1511 0076: dt=32.368000, rms=0.630 (0.034%), neg=0, invalid=1511 0077: dt=32.368000, rms=0.630 (0.030%), neg=0, invalid=1511 0078: dt=32.368000, rms=0.630 (0.027%), neg=0, invalid=1511 0079: dt=32.368000, rms=0.630 (0.025%), neg=0, invalid=1511 0080: dt=32.368000, rms=0.630 (0.027% ), neg=0, invalid=1511 0081: dt=32.368000, rms=0.629 (0.032%), neg=0, invalid=1511 0082: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511 0083: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511 0084: dt= 32.368000, rms=0.629 (0.032%), neg=0, invalid=1511 0085: dt=32.368000, rms=0.629 (0.027%), neg=0, invalid=1511 0086: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0087: dt=32.368000, rms=0.628 (0.026%), neg=0, invalid=1511 0088: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0089: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0090: dt=32.368000, rms=0.628 (0.028%), neg=0, invalid=1511 0091: dt=32.368000, rms=0.628 (0.029%), neg=0, invalid=1511 0092: dt=32.368000, rms=0.627 (0.030%), neg=0, invalid=1511 0093: dt=32.368000, rms=0.627 (0.022%), neg=0, invalid=1511 0094: dt=32.368000, rms=0.627 (0.016%), neg=0, invalid=1511 0095: dt=3551.232053, rms=0.626 (0.239%), neg=0, invalid=1511 0096: dt=32.368000, rms=0.626 (0.015%), neg=0, invalid=1511 0097: dt=32.368000, rms=0.625 (0.005%), neg=0, invalid=1511 0098: dt=32.368000, rms=0.625 (- 0.010%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.625, neg=0, invalid=1511 0099: dt=129.472002, rms=0.623 (0.348%), neg=0, invalid=1511 0100: dt=221.952003 , rms=0.623 (0.107%), neg=0, invalid=1511 0101: dt=129.472002, rms=0.622 (0.101%), neg=0, invalid=1511 0102: dt=295.936004, rms=0.622 (0.056%), neg=0, invalid=1511 0103: dt=129.472002, rms=0.621 (0.072%), neg=0, invalid=1511 0104: dt=73.984001, rms=0.621 (0.007%), neg=0, invalid=1511 0105: dt=73.984001, rms=0.621 (0.013%), neg=0, invalid=1511 0106: dt=73.984001, rms=0.621 (0.023%), neg=0, invalid=1511 0107: dt=73.984001, rms=0.621 (0.036%), neg=0, invalid=1511 0108: dt=73.984001, rms=0.620 (0.046%), neg=0, invalid=1511 0109: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511 0110: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511 0111: dt=73.984001, rms=0.620 (0.047%), neg=0, invalid=1511 0112: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511 0113: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511 0114: dt=73.984001, rms=0.619 (0.047% ), neg=0, invalid=1511 0115: dt=73.984001, rms=0.618 (0.047%), neg=0, invalid=1511 0116: dt=73.984001, rms=0.618 (0.051%), neg=0, invalid=1511 0117: dt=73.984001, rms=0.618 (0.052%), neg=0, invalid=1511 0118: dt= 73.984001, rms=0.617 (0.048%), neg=0, invalid=1511 0119: dt=73.984001, rms=0.617 (0.042%), neg=0, invalid=1511 0120: dt=73.984001, rms=0.617 (0.041%), neg=0, invalid=1511 0121: dt=73.984001, rms=0.617 (0.037%), neg=0, invalid=1511 0122: dt=73.984001, rms=0.617 (0.034%), neg=0, invalid=1511 0123: dt=73.984001, rms=0.616 (0.038%), neg=0, invalid=1511 0124: dt=73.984001, rms=0.616 (0.037%), neg=0, invalid=1511 0125: dt=73.984001, rms=0.616 (0.040%), neg=0, invalid=1511 0126: dt=73.984001, rms=0.616 (0.041%), neg=0, invalid=1511 0127: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511 0128: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511 0129: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511 0130: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511 0131: dt=73.984001, rms=0.614 (0.035%), neg=0, invalid=1511 0132: dt=73.984001, rms=0.614 (0.031% ), neg=0, invalid=1511 0133: dt=73.984001, rms=0.614 (0.029%), neg=0, invalid=1511 0134: dt=73.984001, rms=0.614 (0.031%), neg=0, invalid=1511 0135: dt=73.984001, rms=0.614 (0.032%), neg=0, invalid=1511 0136: dt= 73.984001, rms=0.614 (0.027%), neg=0, invalid=1511 0137: dt=73.984001, rms=0.613 (0.020%), neg=0, invalid=1511 0138: dt=73.984001, rms=0.613 (0.027%), neg=0, invalid=1511 0139: dt=73.984001, rms=0.613 (0.028%), neg=0, invalid=1511 0140: dt=73.984001, rms=0.613 (0.031%), neg=0, invalid=1511 0141: dt=73.984001, rms=0.613 (0.034%), neg=0, invalid=1511 0142: dt=73.984001, rms=0.613 (0.024%), neg=0, invalid=1511 0143: dt=73.984001, rms=0.612 (0.020%), neg=0, invalid=1511 0144: dt=369.920006, rms=0.612 (0.023%), neg=0, invalid=1511 0145: dt=32.368000, rms=0.612 (0.002%), neg=0, invalid=1511 0146: dt=32.368000, rms=0.612 (-0.002%), neg=0, invalid=1511 setting smoothness coefficient to 0.03 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.614, neg=0, invalid=1511 0147: dt=29.460317, rms=0.613 (0.119%), neg=0, invalid=1511 0148: dt= 70.660633, rms=0.612 (0.163%), neg=0, invalid=1511 0149: dt=331.776005, rms=0.606 (0.988%), neg=0, invalid=1511 0150: dt=39.529412, rms=0.604 (0.369%), neg=0, invalid=1511 0151: dt=145.152002, rms=0.601 (0.532%), neg=0, invalid=1511 0152: dt=41.882353, rms=0.599 (0.274%), neg=0, invalid=1511 0153: dt=89.854305, rms=0.598 (0.199%), neg=0, invalid=1511 0154: dt=42.400000, rms=0.597 (0.167%), neg=0, invalid=1511 0155: dt=91.586207, rms=0.596 (0.155%), neg=0, invalid=1511 0156: dt=42.378378, rms=0.595 (0.152%), neg=0, invalid=1511 0157: dt=74.507463, rms=0.595 (0.115%), neg=0, invalid=1511 0158: dt=48.000000, rms=0.594 (0.124%), neg=0, invalid=1511 0159: dt=61.866667, rms=0.593 (0.114%), neg=0, invalid=1511 0160: dt=48.000000, rms=0.593 (0.098%), neg=0, invalid=1511 0161: dt=66.666667, rms=0.592 (0.092%), neg=0, invalid=1511 0162: dt=39.225806, rms=0.591 (0.111% ), neg=0, invalid=1511 0163: dt=82.944001, rms=0.591 (0.088%), neg=0, invalid=1511 0164: dt=45.913043, rms=0.590 (0.121%), neg=0, invalid=1511 0165: dt=73.600000, rms=0.590 (0.080%), neg=0, invalid=1511 0166: dt= 36.288001, rms=0.589 (0.097%), neg=0, invalid=1511 0167: dt=124.416002, rms=0.588 (0.140%), neg=0, invalid=1511 0168: dt=25.920000, rms=0.588 (0.089%), neg=0, invalid=1511 0169: dt=580.608009, rms=0.585 (0.512%), neg=0, invalid=1511 0170: dt=34.051282, rms=0.583 (0.222%), neg=0, invalid=1511 0171: dt=37.333333, rms=0.583 (0.039%), neg=0, invalid=1511 0172: dt=37.333333, rms=0.583 (0.068%), neg=0, invalid=1511 0173: dt=37.333333, rms=0.582 (0.065%), neg=0, invalid=1511 0174: dt=37.333333, rms=0.582 (0.083%), neg=0, invalid=1511 0175: dt=37.333333, rms=0.581 (0.103%), neg=0, invalid=1511 0176: dt=37.333333, rms=0.580 (0.148%), neg=0, invalid=1511 0177: dt=37.333333, rms=0.579 (0.163%), neg=0, invalid=1511 0178: dt=37.333333, rms=0.579 (0.161%), neg=0, invalid=1511 0179: dt=37.333333, rms=0.578 (0.152%), neg=0, invalid=1511 0180: dt=37.333333, rms=0.577 (0.159% ), neg=0, invalid=1511 0181: dt=37.333333, rms=0.576 (0.169%), neg=0, invalid=1511 0182: dt=37.333333, rms=0.575 (0.172%), neg=0, invalid=1511 0183: dt=37.333333, rms=0.574 (0.158%), neg=0, invalid=1511 0184: dt= 37.333333, rms=0.573 (0.143%), neg=0, invalid=1511 0185: dt=37.333333, rms=0.572 (0.125%), neg=0, invalid=1511 0186: dt=37.333333, rms=0.572 (0.111%), neg=0, invalid=1511 0187: dt=37.333333, rms=0.571 (0.122%), neg=0, invalid=1511 0188: dt=37.333333, rms=0.570 (0.108%), neg=0, invalid=1511 0189: dt=37.333333, rms=0.570 (0.115%), neg=0, invalid=1511 0190: dt=37.333333, rms=0.569 (0.114%), neg=0, invalid=1511 0191: dt=37.333333, rms=0.568 (0.112%), neg=0, invalid=1511 0192: dt=37.333333, rms=0.568 (0.122%), neg=0, invalid=1511 0193: dt=37.333333, rms=0.567 (0.096%), neg=0, invalid=1511 0194: dt=37.333333, rms=0.567 (0.076%), neg=0, invalid=1511 0195: dt=37.333333, rms=0.566 (0.080%), neg=0, invalid=1511 0196: dt=37.333333, rms=0.566 (0.096%), neg=0, invalid=1511 0197: dt=37.333333, rms=0.565 (0.089%), neg=0, invalid=1511 0198: dt=37.333333, rms=0.565 (0.092% ), neg=0, invalid=1511 0199: dt=37.333333, rms=0.564 (0.087%), neg=0, invalid=1511 0200: dt=37.333333, rms=0.564 (0.073%), neg=0, invalid=1511 0201: dt=37.333333, rms=0.563 (0.071%), neg=0, invalid=1511 0202: dt= 37.333333, rms=0.563 (0.086%), neg=0, invalid=1511 0203: dt=37.333333, rms=0.563 (0.086%), neg=0, invalid=1511 0204: dt=37.333333, rms=0.562 (0.063%), neg=0, invalid=1511 0205: dt=37.333333, rms=0.562 (0.044%), neg=0, invalid=1511 0206: dt=37.333333, rms=0.562 (0.061%), neg=0, invalid=1511 0207: dt=37.333333, rms=0.561 (0.063%), neg=0, invalid=1511 0208: dt=37.333333, rms=0.561 (0.067%), neg=0, invalid=1511 0209: dt=37.333333, rms=0.560 (0.071%), neg=0, invalid=1511 0210: dt=37.333333, rms=0.560 (0.054%), neg=0, invalid=1511 0211: dt=37.333333, rms=0.560 (0.043%), neg=0, invalid=1511 0212: dt=37.333333, rms=0.560 (0.039%), neg=0, invalid=1511 0213: dt=37.333333, rms=0.559 (0.043%), neg=0, invalid=1511 0214: dt=37.333333, rms=0.559 (0.046%), neg=0, invalid=1511 0215: dt=37.333333, rms=0.559 (0.039%), neg=0, invalid=1511 0216: dt=37.333333, rms=0.559 (0.043% ), neg=0, invalid=1511 0217: dt=37.333333, rms=0.558 (0.052%), neg=0, invalid=1511 0218: dt=37.333333, rms=0.558 (0.043%), neg=0, invalid=1511 0219: dt=37.333333, rms=0.558 (0.021%), neg=0, invalid=1511 0220: dt= 37.333333, rms=0.558 (0.019%), neg=0, invalid=1511 0221: dt=248.832004, rms=0.558 (0.064%), neg=0, invalid=1511 0222: dt=1.944000, rms=0.558 (0.001%), neg=0, invalid=1511 0223: dt=1.944000, rms=0.558 (-0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.558, neg=0, invalid=1511 0224: dt=109.782772, rms=0.555 (0.541%), neg=0, invalid=1511 0225: dt=41.846154, rms=0.553 (0.217%), neg=0, invalid=1511 0226: dt=74.666667, rms=0.553 (0.115%), neg=0, invalid=1511 0227: dt=36.288001, rms=0.552 (0.079%), neg=0, invalid=1511 0228: dt=145.152002, rms=0.551 (0.155%), neg=0, invalid=1511 0229: dt=36.288001, rms=0.551 (0.059%), neg=0, invalid=1511 0230: dt=145.152002, rms=0.550 (0.121%), neg=0, invalid=1511 0231: dt=25.920000, rms=0.550 (0.023%), neg=0, invalid=1511 0232: dt=25.920000, rms=0.550 (0.022%), neg=0, invalid=1511 0233: dt=25.920000, rms=0.550 (0.035%), neg=0, invalid=1511 0234: dt=25.920000, rms=0.550 (0.048%), neg=0, invalid=1511 0235: dt=25.920000, rms=0.549 (0.054%), neg=0, invalid=1511 0236: dt=25.920000, rms=0.549 (0.063% ), neg=0, invalid=1511 0237: dt=25.920000, rms=0.549 (0.070%), neg=0, invalid=1511 0238: dt=25.920000, rms=0.548 (0.074%), neg=0, invalid=1511 0239: dt=25.920000, rms=0.548 (0.078%), neg=0, invalid=1511 0240: dt= 25.920000, rms=0.548 (0.070%), neg=0, invalid=1511 0241: dt=25.920000, rms=0.547 (0.068%), neg=0, invalid=1511 0242: dt=25.920000, rms=0.547 (0.061%), neg=0, invalid=1511 0243: dt=25.920000, rms=0.547 (0.055%), neg=0, invalid=1511 0244: dt=25.920000, rms=0.546 (0.061%), neg=0, invalid=1511 0245: dt=25.920000, rms=0.546 (0.060%), neg=0, invalid=1511 0246: dt=25.920000, rms=0.546 (0.054%), neg=0, invalid=1511 0247: dt=25.920000, rms=0.545 (0.048%), neg=0, invalid=1511 0248: dt=25.920000, rms=0.545 (0.042%), neg=0, invalid=1511 0249: dt=25.920000, rms=0.545 (0.043%), neg=0, invalid=1511 0250: dt=25.920000, rms=0.545 (0.046%), neg=0, invalid=1511 0251: dt=25.920000, rms=0.544 (0.049%), neg=0, invalid=1511 0252: dt=25.920000, rms=0.544 (0.047%), neg=0, invalid=1511 0253: dt=25.920000, rms=0.544 (0.038%), neg=0, invalid=1511 0254: dt=25.920000, rms=0.544 (0.037% ), neg=0, invalid=1511 0255: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0256: dt=25.920000, rms=0.543 (0.035%), neg=0, invalid=1511 0257: dt=25.920000, rms=0.543 (0.030%), neg=0, invalid=1511 0258: dt= 25.920000, rms=0.543 (0.031%), neg=0, invalid=1511 0259: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0260: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0261: dt=25.920000, rms=0.542 (0.031%), neg=0, invalid=1511 0262: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511 0263: dt=25.920000, rms=0.542 (0.029%), neg=0, invalid=1511 0264: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511 0265: dt=25.920000, rms=0.542 (0.030%), neg=0, invalid=1511 0266: dt=25.920000, rms=0.542 (0.034%), neg=0, invalid=1511 0267: dt=25.920000, rms=0.541 (0.025%), neg=0, invalid=1511 0268: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511 0269: dt=25.920000, rms=0.541 (0.023%), neg=0, invalid=1511 0270: dt=25.920000, rms=0.541 (0.032%), neg=0, invalid=1511 0271: dt=25.920000, rms=0.541 (0.030%), neg=0, invalid=1511 0272: dt=25.920000, rms=0.541 (0.024% ), neg=0, invalid=1511 0273: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511 0274: dt=103.680002, rms=0.540 (0.007%), neg=0, invalid=1511 0275: dt=103.680002, rms=0.540 (0.008%), neg=0, invalid=1511 0276: dt= 103.680002, rms=0.540 (-0.067%), neg=0, invalid=1511 setting smoothness coefficient to 0.12 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.552, neg=0, invalid=1511 0277: dt=8.851064 , rms=0.551 (0.074%), neg=0, invalid=1511 0278: dt=8.000000, rms=0.551 (0.024%), neg=0, invalid=1511 0279: dt=8.000000, rms=0.551 (0.016%), neg=0, invalid=1511 0280: dt=8.000000, rms=0.551 (-0.007%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.551, neg=0, invalid=1511 0281: dt=52.411523, rms=0.546 (0.892%), neg=0, invalid=1511 0282: dt=18.418605, rms=0.544 (0.328%), neg=0, invalid=1511 0283: dt=33.446328, rms=0.543 (0.317%), neg=0, invalid=1511 0284: dt=12.745763, rms=0.542 (0.188%), neg=0, invalid=1511 0285: dt=62.745098, rms=0.540 (0.347%), neg=0, invalid=1511 0286: dt=21.034268, rms=0.538 (0.259%), neg=0, invalid=1511 0287: dt=19.200000, rms=0.537 (0.248%), neg=0, invalid=1511 0288: dt=11.200000, rms=0.537 (0.075%), neg=0, invalid=1511 0289: dt=128.000002, rms=0.534 (0.491%), neg=0, invalid=1511 0290: dt=16.000000, rms=0.533 (0.150%), neg=0, invalid=1511 0291: dt=39.360000, rms=0.532 (0.244%), neg=0, invalid=1511 0292: dt=15.703704, rms=0.531 (0.146%), neg=0, invalid=1511 0293: dt=44.800001, rms=0.530 (0.195% ), neg=0, invalid=1511 0294: dt=11.466667, rms=0.530 (0.090%), neg=0, invalid=1511 0295: dt=179.200003, rms=0.527 (0.478%), neg=0, invalid=1511 0296: dt=19.047619, rms=0.526 (0.124%), neg=0, invalid=1511 0297: dt= 31.020408, rms=0.525 (0.161%), neg=0, invalid=1511 0298: dt=15.000000, rms=0.525 (0.101%), neg=0, invalid=1511 0299: dt=20.740741, rms=0.525 (0.049%), neg=0, invalid=1511 0300: dt=20.740741, rms=0.525 (0.031%), neg=0, invalid=1511 0301: dt=20.740741, rms=0.524 (0.144%), neg=0, invalid=1511 0302: dt=20.740741, rms=0.523 (0.121%), neg=0, invalid=1511 0303: dt=20.740741, rms=0.522 (0.182%), neg=0, invalid=1511 0304: dt=20.740741, rms=0.521 (0.164%), neg=0, invalid=1511 0305: dt=20.740741, rms=0.520 (0.222%), neg=0, invalid=1511 0306: dt=20.740741, rms=0.519 (0.232%), neg=0, invalid=1511 0307: dt=20.740741, rms=0.518 (0.170%), neg=0, invalid=1511 0308: dt=20.740741, rms=0.517 (0.216%), neg=0, invalid=1511 0309: dt=20.740741, rms=0.516 (0.232%), neg=0, invalid=1511 0310: dt=20.740741, rms=0.515 (0.160%), neg=0, invalid=1511 0311: dt=20.740741, rms=0.514 (0.194% ), neg=0, invalid=1511 0312: dt=20.740741, rms=0.513 (0.186%), neg=0, invalid=1511 0313: dt=20.740741, rms=0.512 (0.119%), neg=0, invalid=1511 0314: dt=20.740741, rms=0.511 (0.183%), neg=0, invalid=1511 0315: dt= 20.740741, rms=0.511 (0.149%), neg=0, invalid=1511 0316: dt=20.740741, rms=0.510 (0.095%), neg=0, invalid=1511 0317: dt=20.740741, rms=0.510 (0.133%), neg=0, invalid=1511 0318: dt=20.740741, rms=0.509 (0.108%), neg=0, invalid=1511 0319: dt=20.740741, rms=0.509 (0.072%), neg=0, invalid=1511 0320: dt=20.740741, rms=0.508 (0.100%), neg=0, invalid=1511 0321: dt=20.740741, rms=0.508 (0.064%), neg=0, invalid=1511 0322: dt=20.740741, rms=0.507 (0.061%), neg=0, invalid=1511 0323: dt=20.740741, rms=0.507 (0.079%), neg=0, invalid=1511 0324: dt=20.740741, rms=0.507 (0.047%), neg=0, invalid=1511 0325: dt=20.740741, rms=0.507 (0.056%), neg=0, invalid=1511 0326: dt=20.740741, rms=0.506 (0.068%), neg=0, invalid=1511 0327: dt=20.740741, rms=0.506 (0.044%), neg=0, invalid=1511 0328: dt=20.740741, rms=0.506 (0.049%), neg=0, invalid=1511 0329: dt=20.740741, rms=0.506 (0.040% ), neg=0, invalid=1511 0330: dt=20.740741, rms=0.505 (0.035%), neg=0, invalid=1511 0331: dt=20.740741, rms=0.505 (0.062%), neg=0, invalid=1511 0332: dt=20.740741, rms=0.505 (0.048%), neg=0, invalid=1511 0333: dt= 20.740741, rms=0.505 (0.034%), neg=0, invalid=1511 0334: dt=20.740741, rms=0.504 (0.054%), neg=0, invalid=1511 0335: dt=20.740741, rms=0.504 (0.021%), neg=0, invalid=1511 0336: dt=20.740741, rms=0.504 (0.044%), neg=0, invalid=1511 0337: dt=20.740741, rms=0.504 (0.033%), neg=0, invalid=1511 0338: dt=20.740741, rms=0.504 (0.018%), neg=0, invalid=1511 0339: dt=20.740741, rms=0.504 (0.035%), neg=0, invalid=1511 0340: dt=20.740741, rms=0.503 (0.030%), neg=0, invalid=1511 0341: dt=20.740741, rms=0.503 (0.022%), neg=0, invalid=1511 0342: dt=20.740741, rms=0.503 (0.043%), neg=0, invalid=1511 0343: dt=20.740741, rms=0.503 (0.020%), neg=0, invalid=1511 0344: dt=20.740741, rms=0.503 (0.025%), neg=0, invalid=1511 0345: dt=20.740741, rms=0.503 (0.032%), neg=0, invalid=1511 0346: dt=20.740741, rms=0.503 (0.010%), neg=0, invalid=1511 0347: dt=20.740741, rms=0.503 (0.009% ), neg=0, invalid=1511 0348: dt=14.400000, rms=0.503 (0.020%), neg=0, invalid=1511 0349: dt=6.400000, rms=0.503 (0.005%), neg=0, invalid=1511 0350: dt=6.400000, rms=0.502 (0.003%), neg=0, invalid=1511 0351: dt= 6.400000, rms=0.502 (0.002%), neg=0, invalid=1511 0352: dt=6.400000, rms=0.502 (0.004%), neg=0, invalid=1511 0353: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511 0354: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511 setting smoothness coefficient to 0.40 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.525, neg=0, invalid=1511 0355: dt=0.000000, rms=0.525 (-0.001%), neg=0, invalid=1511 blurring input image with Gaussian with sigma= 0.500... 0000: dt=0.000, rms=0.525, neg=0, invalid=1511 0356: dt=0.000000, rms=0.525 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 1.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.571, neg=0, invalid=1511 0357: dt=1.096026, rms=0.568 (0.531%), neg=0, invalid=1511 0358: dt=0.256000, rms=0.568 (0.012%), neg=0, invalid=1511 0359: dt=0.256000, rms=0.568 (-0.010%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.568, neg=0, invalid=1511 0360: dt=0.820896, rms=0.567 (0.131%), neg=0, invalid=1511 0361: dt=0.256000, rms=0.567 (0.007%), neg=0, invalid=1511 0362: dt=0.256000, rms=0.567 (-0.004%), neg=0, invalid=1511 resetting metric properties... setting smoothness coefficient to 2.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms= 0.512, neg=0, invalid=1511 0363: dt=0.448000, rms=0.497 (2.912%), neg=0, invalid=1511 0364: dt=0.448000, rms=0.495 (0.412%), neg=0, invalid=1511 0365: dt=0.448000, rms=0.493 (0.311%), neg=0, invalid=1511 0366: dt= 0.320000, rms=0.493 (0.134%), neg=0, invalid=1511 0367: dt=0.028000, rms=0.493 (0.009%), neg=0, invalid=1511 0368: dt=0.028000, rms=0.493 (0.010%), neg=0, invalid=1511 0369: dt=0.028000, rms=0.493 (0.017%), neg=0, invalid=1511 0370: dt=0.028000, rms=0.492 (0.024%), neg=0, invalid=1511 0371: dt=0.028000, rms=0.492 (0.031%), neg=0, invalid=1511 0372: dt=0.028000, rms=0.492 (0.035%), neg=0, invalid=1511 0373: dt=0.028000, rms=0.492 (0.039% ), neg=0, invalid=1511 0374: dt=0.028000, rms=0.492 (0.042%), neg=0, invalid=1511 0375: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0376: dt=0.028000, rms=0.491 (0.043%), neg=0, invalid=1511 0377: dt= 0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0378: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0379: dt=0.028000, rms=0.491 (0.040%), neg=0, invalid=1511 0380: dt=0.028000, rms=0.490 (0.040%), neg=0, invalid=1511 0381: dt=0.028000, rms=0.490 (0.035%), neg=0, invalid=1511 0382: dt=0.028000, rms=0.490 (0.034%), neg=0, invalid=1511 0383: dt=0.028000, rms=0.490 (0.029%), neg=0, invalid=1511 0384: dt=0.028000, rms=0.490 (0.029% ), neg=0, invalid=1511 0385: dt=0.028000, rms=0.490 (0.026%), neg=0, invalid=1511 0386: dt=0.028000, rms=0.490 (0.023%), neg=0, invalid=1511 0387: dt=0.028000, rms=0.489 (0.020%), neg=0, invalid=1511 0388: dt= 0.000015, rms=0.489 (-0.001%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.489, neg=0, invalid=1511 0389: dt=0.448000, rms=0.483 (1.320%), neg=0, invalid=1511 0390: dt=0.320000, rms=0.483 (0.058%), neg=0, invalid=1511 0391: dt=0.031250, rms=0.483 (0.005%), neg=0, invalid=1511 0392: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511 0393: dt=0.031250, rms=0.483 (0.009% ), neg=0, invalid=1511 0394: dt=0.031250, rms=0.483 (0.012%), neg=0, invalid=1511 0395: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511 0396: dt=0.031250, rms=0.483 (0.008%), neg=0, invalid=1511 0397: dt= 0.031250, rms=0.482 (0.010%), neg=0, invalid=1511 0398: dt=0.031250, rms=0.482 (0.014%), neg=0, invalid=1511 0399: dt=0.031250, rms=0.482 (0.015%), neg=0, invalid=1511 0400: dt=0.031250, rms=0.482 (0.017%), neg=0, invalid=1511 0401: dt=0.015625, rms=0.482 (0.001%), neg=0, invalid=1511 0402: dt=0.096000, rms=0.482 (0.008%), neg=0, invalid=1511 0403: dt=0.020000, rms=0.482 (0.003%), neg=0, invalid=1511 label assignment complete, 0 changed ( 0.00%) ***************** morphing with label term set to 0
label assignment complete, 0 changed (0.00%) **************** pass 1 of 1 ************************ setting smoothness coefficient to 0.01 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.480, neg=0, invalid=1511 0404: dt=2.023000, rms=0.480 (-0.069%), neg=0, invalid=1511 blurring input image with Gaussian with sigma= 0.500... 0000: dt=0.000, rms=0.480, neg=0, invalid=1511 0405: dt=129.472002, rms=0.480 (0.189%), neg=0, invalid=1511 0406: dt=110.976002, rms=0.479 (0.045%), neg=0, invalid=1511 0407: dt=110.976002, rms=0.479 ( 0.039%), neg=0, invalid=1511 0408: dt=110.976002, rms=0.479 (0.044%), neg=0, invalid=1511 0409: dt=110.976002, rms=0.479 (0.041%), neg=0, invalid=1511 0410: dt=110.976002, rms=0.479 (0.020%), neg=0, invalid=1511 0411: dt=110.976002, rms=0.479 (0.015%), neg=0, invalid=1511 0412: dt=129.472002, rms=0.478 (0.024%), neg=0, invalid=1511 0413: dt=73.984001, rms=0.478 (0.006%), neg=0, invalid=1511 0414: dt=73.984001, rms=0.478 ( 0.007%), neg=0, invalid=1511 0415: dt=73.984001, rms=0.478 (0.010%), neg=0, invalid=1511 0416: dt=73.984001, rms=0.478 (0.012%), neg=0, invalid=1511 0417: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511 0418: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511 setting smoothness coefficient to 0.03 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.478, neg=0, invalid=1511 0419: dt= 0.000000, rms=0.478 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.478, neg=0, invalid=1511 0420: dt=145.152002, rms=0.476 (0.360%), neg=0, invalid=1511 0421: dt=82.944001, rms=0.476 (0.107%), neg=0, invalid=1511 0422: dt=46.545455, rms=0.476 (0.067%), neg=0, invalid=1511 0423: dt=82.944001, rms=0.475 (0.074%), neg=0, invalid=1511 0424: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511 0425: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511 0426: dt=44.800000, rms=0.475 (0.056%), neg=0, invalid=1511 0427: dt=44.800000, rms=0.474 (0.077%), neg=0, invalid=1511 0428: dt=44.800000, rms=0.474 (0.072%), neg=0, invalid=1511 0429: dt=22.400000, rms=0.474 (0.019%), neg=0, invalid=1511 0430: dt=11.200000, rms=0.474 (0.005%), neg=0, invalid=1511 0431: dt=9.072000, rms=0.474 (0.004% ), neg=0, invalid=1511 0432: dt=1.134000, rms=0.474 (0.000%), neg=0, invalid=1511 0433: dt=0.567000, rms=0.474 (0.000%), neg=0, invalid=1511 0434: dt=0.283500, rms=0.474 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 0.12 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0435: dt=0.002734, rms=0.474 (0.000%), neg=0, invalid=1511 0436: dt=0.000488, rms=0.474 (0.000%), neg=0, invalid=1511 0437: dt=0.000031, rms=0.474 (0.000%), neg=0, invalid=1511 0438: dt=0.000015, rms=0.474 (0.000%), neg=0, invalid=1511 0439: dt=0.000004, rms=0.474 (-0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma= 0.500... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0440: dt=0.000000, rms=0.474 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 0.40 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.475, neg=0, invalid=1511 0441: dt=0.000000, rms=0.475 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.475, neg=0, invalid=1511 0442: dt= 0.000000, rms=0.475 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 1.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.476, neg=0, invalid=1511 0443: dt=0.000000, rms= 0.476 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.476, neg=0, invalid=1511 0444: dt=0.000000, rms=0.476 (0.000%), neg=0, invalid=1511 resetting metric properties... setting smoothness coefficient to 2.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation fault ERROR: mri_ca_register with non-zero status
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Nick, I'll rerun mri_ca_register and probably get you the core file by monday if not over the weekend ...
Binyam
Binyam Nardos Cognitive Rehabilitation Research Group Washington University School of Medicine Box # 8505 4444 Forest Park Blvd St. Louis, MO 63108 Office: (314) 454-7795 Fax: (314) 286-1601
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From: Nick Schmansky [mailto:nicks@nmr.mgh.harvard.edu] Sent: Fri 2/23/2007 3:30 PM To: giri.prashanth@gmail.com; Binyam Nardos Cc: Freesurfer Mailing List Subject: Re: [Freesurfer] (no subject)
Giri and Binyam,
This problem was encountered once before (by Binyam), and I was not able to recreate the segmentation fault locally, so can one or both of you do the following to help me debug this problem? I have posted a version of mri_ca_register which contains the debugging symbols here:
ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/fsdev/nicks/stable
There is a version for each Linux platform. Install it in your $FREESURFER_HOME, after gunzipping it.
When a segfault occurs, it creates a file called 'core' in the directory where mri_ca_register was running. You should see one there now in your subjects mri dir. But the core file you have now does not contain debugging symbols, so I need you rerun mri_ca_register (by just running the -autorecon2 stage again), and when it generates another core file (make sure the date matches when it occurred in the recon-all.log), I'd like you to send me that file (named 'core') via this filedrop:
https://www.nmr.mgh.harvard.edu/facility/filedrop/index.html
and I can open it in gdb and see where in the code the problem is occurring.
Thanks,
Nick
On Fri, 2007-02-23 at 12:05 -0500, Giri Prashanth wrote:
Hi Freesurfer experts,
I have encountered the following error running the reconall - autorecon2 script,
blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation fault ERROR: mri_ca_register with non-zero status
The complete ouput from the log file is attached below.
I ran the autorecon1 earlier without any errors. The talirach transformation and skull stripping went fine on examination. There were also no memory errors logged in var/spool/mail directory.
I am currently using Red Hat Enterprise Linux Client release 4.91 (Tikanga), with 2GB RAM on 64-bit Intel dual core.
I would greatly appreciate any help on this.
Thanks, -Giri
/usr/local/bin/freesurfer/subjects/GK1 /usr/local/bin/freesurfer/bin/recon-all -autorecon2 -sid GK1 subjid GK1 setenv SUBJECTS_DIR /usr/local/bin/freesurfer/subjects FREESURFER_HOME /usr/local/bin/freesurfer Actual FREESURFER_HOME /usr/local/bin/freesurfer build-stamp.txt: freesurfer-Linux-centos4_x86_64-stable-pub-v3.0.4 Linux lab1 2.6.17-1.2519.4.21.el5 #1 SMP Wed Aug 30 18:18:28 EDT 2006 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 1024 memorylocked 32 kbytes maxproc 16369 ######################################## program versions used $Id: recon-all,v MailScanner has detected a possible fraud attempt from "1.17.2.15" claiming to beMailScanner warning: numerical links are often malicious: 1.17.2.15 2006/11/21 04:58:13 nicks Exp $ $Id: mri_motion_correct.fsl,v 1.4 2006/01/01 21:56:44 greve Exp $ mri_convert -all-info ProgramName: mri_convert ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_convert.c,v MailScanner has detected a possible fraud attempt from "1.121.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.121.2.1 2006/08/28 18:00:04 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 $Id: talairach,v 1.2 2005/12/12 23:04:35 greve Exp $ mri_convert --version stable3 Program nu_correct, built from: Package MNI N3, version 1.10, compiled by nicks@minerva (x86_64- unknown-linux-gnu) on 2005-11-15 at 20:37:35 ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_normalize.c,v MailScanner has detected a possible fraud attempt from "1.44.2.2" claiming to beMailScanner warning: numerical links are often malicious: 1.44.2.2 2006/06/28 23:38:13 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_watershed.cpp,v 1.48 2006/02/27 16:57:57 segonne Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_segment.c,v MailScanner has detected a possible fraud attempt from "1.28.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.28.2.1 2006/04/12 02:02:58 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_fill.c,v 1.101 2006/02/22 23:05:06 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_tessellate ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_tessellate.c,v MailScanner has detected a possible fraud attempt from "1.27.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.27.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_smooth.c,v MailScanner has detected a possible fraud attempt from "1.13.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.13.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_inflate.c,v MailScanner has detected a possible fraud attempt from "1.30.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.30.2.1 2006/05/02 21:41:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_sphere.c,v 1.38 2006/02/08 00:17:40 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_fix_topology ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_fix_topology.c,v 1.41 2006/02/06 19:41:59 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_euler_number ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_euler_number.c,v 1.4 2003/09/05 04:45:41 kteich Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_make_surfaces ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_make_surfaces.c,v MailScanner has detected a possible fraud attempt from "1.70.2.5" claiming to beMailScanner warning: numerical links are often malicious: 1.70.2.5 2006/07/18 18:26:01 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mris_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mris_register.c,v 1.32 2005/12/07 14:22:57 fischl Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mrisp_paint.c,v 1.6 2005/02/14 04:30:19 segonne Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_label2label ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_label2label.c,v MailScanner has detected a possible fraud attempt from "1.23.2.1" claiming to beMailScanner warning: numerical links are often malicious: 1.23.2.1 2006/09/20 20:42:55 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_em_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_em_register.c,v 1.52 2006/01/11 21:01:40 greve Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_normalize ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_normalize.c,v 1.31 2005/08/15 14:14:22 fischl Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_register ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_register.c,v MailScanner has detected a possible fraud attempt from "1.48.2.7" claiming to beMailScanner warning: numerical links are often malicious: 1.48.2.7 2006/10/24 01:48:52 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id: mri_ca_label.c,v MailScanner has detected a possible fraud attempt from "1.68.2.2" claiming to beMailScanner warning: numerical links are often malicious: 1.68.2.2 2006/08/16 00:18:42 nicks Exp $ User: root Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400 ####################################### GCA RB_all_2006-02-15.gca GCASkull RB_all_withskull_2006-02-15.gca AvgCurvTif average.curvature.filled.buckner40.tif GCS curvature.buckner40.filled.desikan_killiany.gcs ####################################### #------------------------------------- #@# EM Registration Thu Feb 22 15:13:40 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_em_register -mask brainmask.mgz nu.mgz /usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.lta
using MR volume brainmask.mgz to mask input volume... reading 1 input volumes... logging results to talairach.log reading '/usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca'... setting gca type = Normal gca type average std = 7.4 using min determinant for regularization = 5.5 0 singular and 1662 ill-conditioned covariance matrices regularized reading 'nu.mgz'... total sample mean = 87.9 (483 zeros) register_mri: find_optimal_transform find_optimal_transform: nsamples 2242, passno 0, spacing 8
First Search limited to translation only.
Found translation: (-2.0, 32.7, 2.0): log p = -23693.6 Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p =-23693.6 (thresh=-23669.9) 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000; Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p =-14331.5 (thresh=-14317.2) 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000; dt = 5.00e-06, momentum=0.80, tol=1.00e-05 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; nsamples 2242 Quasinewton: input matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; pass 2 through quasi-newton minimization... pass 3 through quasi-newton minimization... pass 4 through quasi-newton minimization... fp = 14318.311523, fret = 14318.311523, ftol = 0.000010, EPS = 0.000000 dt = 5.00e-06, momentum=0.80, tol=1.00e-07 l_intensity = 1.0000 Aligning input volume to GCA... Transform matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; nsamples 242283 Quasinewton: input matrix 1.12500 0.00000 0.00000 -18.07085; 0.00000 1.17858 0.18412 -1.63507; 0.00000 -0.12245 0.99506 13.00834; 0.00000 0.00000 0.00000 1.00000; pass 2 through quasi-newton minimization... pass 3 through quasi-newton minimization... pass 4 through quasi-newton minimization... pass 5 through quasi-newton minimization... pass 6 through quasi-newton minimization... freeing gibbs priors...done. bounding unknown intensity as < 16.0 or > 799.3
spacing=8, using 2242 sample points, tol=1.00e-05...
resetting wm mean[0]: 109 --> 116 resetting gm mean[0]: 68 --> 68 input volume #1 is the most T1-like using real data threshold=24.0 using (106, 68, 109) as brain centroid... mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find MRI wm before smoothing, mri peak at 98 after smoothing, mri peak at 96, scaling input intensities by 1.208 scaling channel 0 by 1.20833 initial log_p = -93140.0
Nine parameter search. iteration 0 nscales = 0 ...
Nine parameter search. iteration 1 nscales = 1 ...
reducing scale to 0.2500
Computing MAP estimate using 2242 samples...
dfp_em_step_func: 002: -log(p) = 14331.5 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 003: -log(p) = 14324.0 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, - 1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 004: -log(p) = 14319.0 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 005: -log(p) = 14318.3 after pass:transform: ( 1.12, -0.00, -0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00 , 13.01) outof QuasiNewtonEMA: 007: -log(p) = 14318.3 tol 0.000010 Resulting transform: 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000;
pass 1, spacing 8: log(p) = -14331.5 (old=-93140.0) transform before final EM align: 1.125 0.000 0.000 -18.071; 0.000 1.179 0.184 -1.635; 0.000 -0.122 0.995 13.008; 0.000 0.000 0.000 1.000;
EM alignment process ... Computing final MAP estimate using 242283 samples.
dfp_em_step_func: 006: -log(p) = 1813558.6 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.18, -1.64) ( 0.00, -0.12, 1.00, 13.01) dfp_em_step_func: 007: -log(p) = 1806361.1 after pass:transform: ( 1.12, -0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 008: -log(p) = 1801868.9 after pass:transform: ( 1.12, 0.00, 0.00, -18.07) ( 0.00, 1.18, 0.19, -1.64) ( -0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 009: -log(p) = 1797434.0 after pass:transform: ( 1.12, 0.00, 0.00 , -18.07) ( 0.00, 1.18, 0.19, -1.64) ( 0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 010: -log(p) = 1796255.2 after pass:transform: ( 1.12, 0.00, 0.01, -18.07) ( 0.00, 1.17, 0.19, -1.64) ( -0.00, -0.12, 0.99, 13.01) dfp_em_step_func: 011: -log(p) = 1791314.1 after pass:transform: ( 1.12, 0.00, 0.01, -18.07) ( 0.00, 1.17, 0.19 , -1.64) ( 0.00, -0.12, 0.99, 13.01) outof QuasiNewtonEMA: 013: -log(p) = 1789155.6 tol 0.000000 final transform: 1.117 0.001 0.009 -18.071; 0.001 1.172 0.192 -1.635; 0.000 -0.125 0.991 13.008; 0.000 0.000 0.000 1.000;
writing output transformation to transforms/talairach.lta... registration took 3 minutes and 36 seconds. #-------------------------------------- #@# CA Normalize Thu Feb 22 15:17:16 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_ca_normalize -mask brainmask.mgz nu.mgz /usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca transforms/talairach.lta norm.mgz
using MR volume brainmask.mgz to mask input volume... reading 1 input volumes reading atlas from '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'... setting gca type = Normal gca type reading transform from 'transforms/talairach.lta'... INFO: compute sample coordinates transform 1.117 0.001 0.009 -18.071; 0.001 1.172 0.192 -1.635; 0.000 -0.125 0.991 13.008; 0.000 0.000 0.000 1.000; INFO: transform used reading input volume from nu.mgz... resetting wm mean[0]: 109 --> 116 resetting gm mean[0]: 68 --> 68 input volume #1 is the most T1-like using real data threshold= 24.0 using (106, 68, 109) as brain centroid... mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find MRI wm before smoothing, mri peak at 98 after smoothing, mri peak at 96, scaling input intensities by 1.208 scaling channel 0 by 1.20833 using 242283 sample points... finding control points in Left_Cerebral_White_Matter.... found 38929 control points for structure... bounding box (128, 31, 26) --> (187, 125, 191) Left_Cerebral_White_Matter: limiting intensities to 106.0 --> 124.0 195 of 724 (26.9%) samples deleted finding control points in Right_Cerebral_White_Matter.... found 38531 control points for structure... bounding box (71, 32, 26) --> (128, 125, 192) Right_Cerebral_White_Matter: limiting intensities to 107.0 --> 122.0 330 of 725 (45.5%) samples deleted finding control points in Left_Cerebellum_White_Matter.... found 3087 control points for structure... bounding box (130, 107, 52) --> (171, 142, 105) Left_Cerebellum_White_Matter: limiting intensities to 113.0 --> 118.0 59 of 110 (53.6%) samples deleted finding control points in Right_Cerebellum_White_Matter.... found 2900 control points for structure... bounding box (87, 108, 49) --> (128, 142, 105) Right_Cerebellum_White_Matter: limiting intensities to 95.0 --> 109.0 30 of 93 (32.3%) samples deleted finding control points in Brain_Stem.... found 3414 control points for structure... bounding box (112, 94, 86) --> (142, 155, 116) Brain_Stem: limiting intensities to 91.0 --> 106.0 64 of 186 (34.4%) samples deleted using 1838 total control points for intensity normalization... bias field = 0.962 +- 0.069 0 of 1160 control points discarded writing normalized volume to norm.mgz... freeing GCA...done. normalization took 0 minutes and 44 seconds. #-------------------------------------- #@# CA Reg Thu Feb 22 15:18:01 EST 2007 /usr/local/bin/freesurfer/subjects/GK1/mri
mri_ca_register -align -nobigventricles -mask brainmask.mgz -T transforms/talairach.lta norm.mgz /usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca transforms/talairach.m3z
renormalizing sequences with structure alignment, equivalent to: -renormalize -regularize_mean 0.500 -regularize 0.500 not handling expanded ventricles... using MR volume brainmask.mgz to mask input volume... using previously computed transform transforms/talairach.lta reading 1 input volumes... logging results to talairach.log reading input volume 'norm.mgz '... reading GCA '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'... setting gca type = Normal gca type freeing gibbs priors...done. average std[0] = 5.0 label assignment complete, 0 changed ( 0.00%) renormalizing by structure alignment.... renormalizing input #0 aligning Left_Pallidum... gca peak = 0.11705 (100) mri peak = 0.13848 (105) Left_Pallidum (13): linear fit = 0.98 x + 0.0 (433 voxels, overlap= 0.650) aligning Right_Pallidum... gca peak = 0.13501 (106) mri peak = 0.12646 (103) Right_Pallidum (52): linear fit = 0.98 x + 0.0 (703 voxels, overlap=0.936) aligning Right_Cerebral_White_Matter... gca peak = 0.05652 (116) mri peak = 0.07903 (114) Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (87439 voxels, overlap=0.552) aligning Left_Cerebral_White_Matter... gca peak = 0.05682 (116) mri peak = 0.06608 (112) Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (98179 voxels, overlap=0.498) aligning Left_Lateral_Ventricle... gca peak = 0.05153 (25) mri peak = 0.03578 (36) unreasonable value (46.9), not in range [ 0, 40] - rejecting aligning Right_Lateral_Ventricle... gca peak = 0.07557 (30) mri peak = 0.04038 (37) unreasonable value (46.5), not in range [ 0, 40] - rejecting aligning Right_Hippocampus... gca peak = 0.14805 (66) mri peak = 0.08220 (79) Right_Hippocampus (53): linear fit = 1.23 x + 0.0 (1589 voxels, overlap=0.091) aligning Left_Hippocampus... gca peak = 0.17297 (66) mri peak = 0.07333 (81) Left_Hippocampus (17): linear fit = 1.23 x + 0.0 (1080 voxels, overlap=0.100) aligning Left_Cerebral_Cortex... gca peak = 0.05671 (68) mri peak = 0.02650 (89) uniform distribution in MR - rejecting arbitrary fit aligning Right_Cerebral_Cortex... gca peak = 0.06581 (70) mri peak = 0.02773 (91) uniform distribution in MR - rejecting arbitrary fit aligning Right_Caudate... gca peak = 0.07786 (81) mri peak = 0.16928 (95) Right_Caudate (50): linear fit = 1.20 x + 0.0 (1008 voxels, overlap=0.048) aligning Left_Caudate... gca peak = 0.07814 (81) mri peak = 0.11708 (92) Left_Caudate (11): linear fit = 1.12 x + 0.0 (876 voxels, overlap=0.330) aligning Left_Cerebellum_Cortex... gca peak = 0.06033 (63) mri peak = 0.04440 (84) Left_Cerebellum_Cortex (8): linear fit = 1.35 x + 0.0 (34294 voxels, overlap=0.004) aligning Right_Cerebellum_Cortex... gca peak = 0.05990 (64) mri peak = 0.04660 (85) Right_Cerebellum_Cortex (47): linear fit = 1.33 x + 0.0 (40922 voxels, overlap=0.022) aligning Left_Cerebellum_White_Matter... gca peak = 0.09299 (92) mri peak = 0.09884 (97) Left_Cerebellum_White_Matter (7): linear fit = 1.08 x + 0.0 (7197 voxels, overlap=0.337) aligning Right_Cerebellum_White_Matter... gca peak = 0.08899 (93) mri peak = 0.10077 (95) Right_Cerebellum_White_Matter (46): linear fit = 1.05 x + 0.0 (9203 voxels, overlap= 0.538) aligning Left_Amygdala... gca peak = 0.13911 (71) mri peak = 0.13021 (81) Left_Amygdala (18): linear fit = 1.15 x + 0.0 (466 voxels, overlap=0.093) aligning Right_Amygdala... gca peak = 0.15703 (65) mri peak = 0.07413 (82) Right_Amygdala (54): linear fit = 1.27 x + 0.0 (621 voxels, overlap=0.009) aligning Left_Thalamus_Proper... gca peak = 0.06537 (100) mri peak = 0.11424 (101) Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (3570 voxels, overlap=0.500) aligning Right_Thalamus_Proper... gca peak = 0.07019 (99) mri peak = 0.09504 (98) Right_Thalamus_Proper (49): linear fit = 0.98 x + 0.0 (3540 voxels, overlap=0.526) aligning Left_Putamen... gca peak = 0.09468 (90) mri peak = 0.11889 (97) Left_Putamen (12): linear fit = 1.08 x + 0.0 (2476 voxels, overlap=0.278) aligning Right_Putamen... gca peak = 0.07184 (82) mri peak = 0.10599 (95) Right_Putamen (51): linear fit = 1.08 x + 0.0 (2916 voxels, overlap=0.391) aligning Brain_Stem... gca peak = 0.05597 (80) mri peak = 0.09565 (93) Brain_Stem (16): linear fit = 1.00 x + 0.0 (14224 voxels, overlap= 0.438) aligning Right_VentralDC... gca peak = 0.05879 (97) mri peak = 0.08609 (102) Right_VentralDC (60): linear fit = 1.00 x + 0.0 (2104 voxels, overlap=0.454) aligning Left_VentralDC... gca peak = 0.06932 (98) mri peak = 0.10655 (100) Left_VentralDC (28): linear fit = 0.95 x + 0.0 (1910 voxels, overlap=0.480) aligning Third_Ventricle... gca peak = 0.10105 (38) mri peak = 0.07224 (35) unreasonable value ( 47.5), not in range [ 0, 40] - rejecting aligning Fourth_Ventricle... gca peak = 0.10426 (32) mri peak = 0.11254 (32) not using caudate to estimate GM means Fourth_Ventricle (15): linear fit = 1.12 x + 0.0 (847 voxels, overlap= 0.417) estimating mean gm scale to be 1.22 x + 0.0 estimating mean wm scale to be 1.00 x + 0.0 estimating mean csf scale to be 1.12 x + 0.0 22 transforms computed 0000: dt=0.000000, rms=0.793 (0.168%), neg=0, invalid=1511, LIN 0001: dt=0.000000, rms=0.793 (0.017%), neg=0, invalid=1511, LIN rms increased - undoing step... 0002: dt=0.000000, rms=0.793 (-0.154%), neg=0, invalid=1511, LIN rms increased - undoing step... 0004: dt=0.000000 , rms=0.793 (-0.176%), neg=0, invalid=1511, LIN rms increased - undoing step... 0006: dt=0.000000, rms=0.789 (-0.250%), neg=0, invalid=1511, LIN rms increased - undoing step... 0008: dt=0.000000, rms=0.789 (-0.236% ), neg=0, invalid=1511, LIN rms increased - undoing step... 0010: dt=0.000000, rms=0.789 (-0.226%), neg=0, invalid=1511, LIN rms increased - undoing step... 0012: dt=0.000000, rms=0.787 (-0.184%), neg=0, invalid=1511, LIN rms increased - undoing step... 0014: dt=0.000000, rms=0.787 (-0.180%), neg=0, invalid=1511, LIN rms increased - undoing step... 0016: dt=0.000000, rms=0.787 (-0.171%), neg=0, invalid=1511, LIN rms increased - undoing step... 0018: dt=0.000000, rms=0.787 (-0.169%), neg=0, invalid=1511, LIN label assignment complete, 0 changed (0.00%) **************** pass 1 of 1 ************************ setting smoothness coefficient to 0.01 blurring input image with Gaussian with sigma= 2.000... 0000: dt=0.000, rms=0.782, neg=0, invalid=1511 0021: dt=185.732255, rms=0.718 (8.200%), neg=0, invalid=1511 0022: dt=197.104294, rms=0.696 (3.066%), neg=0, invalid=1511 0023: dt=113.120000, rms=0.686 ( 1.357%), neg=0, invalid=1511 0024: dt=443.904007, rms=0.674 (1.792%), neg=0, invalid=1511 0025: dt=84.339726, rms=0.668 (0.793%), neg=0, invalid=1511 0026: dt=517.888008, rms=0.663 (0.805%), neg=0, invalid=1511 0027: dt=129.472002, rms=0.660 (0.444%), neg=0, invalid=1511 0028: dt=110.976002, rms=0.660 (0.072%), neg=0, invalid=1511 0029: dt=887.808013, rms=0.654 (0.900%), neg=0, invalid=1511 0030: dt=80.000000, rms=0.653 (0.182%), neg=0, invalid=1511 0031: dt=517.888008, rms=0.651 (0.166%), neg=0, invalid=1511 0032: dt=129.472002, rms=0.649 (0.329%), neg=0, invalid=1511 0033: dt=32.368000, rms=0.649 (0.004%), neg=0, invalid=1511 0034: dt=32.368000, rms=0.649 (0.005%), neg=0, invalid=1511 0035: dt=32.368000, rms=0.649 (0.010%), neg=0, invalid=1511 0036: dt=32.368000, rms=0.649 (0.024%), neg=0, invalid=1511 0037: dt=32.368000, rms=0.649 (0.053%), neg=0, invalid=1511 0038: dt=32.368000, rms=0.648 (0.092%), neg=0, invalid=1511 0039: dt=32.368000, rms=0.647 (0.118%), neg=0, invalid=1511 0040: dt=32.368000, rms=0.647 (0.124%), neg=0, invalid=1511 0041: dt=32.368000, rms=0.646 (0.118%), neg=0, invalid=1511 0042: dt=32.368000, rms=0.645 (0.104%), neg=0, invalid=1511 0043: dt=32.368000, rms=0.645 (0.093%), neg=0, invalid=1511 0044: dt=32.368000, rms=0.644 (0.089% ), neg=0, invalid=1511 0045: dt=32.368000, rms=0.643 (0.095%), neg=0, invalid=1511 0046: dt=32.368000, rms=0.643 (0.098%), neg=0, invalid=1511 0047: dt=32.368000, rms=0.642 (0.104%), neg=0, invalid=1511 0048: dt= 32.368000, rms=0.641 (0.110%), neg=0, invalid=1511 0049: dt=32.368000, rms=0.641 (0.109%), neg=0, invalid=1511 0050: dt=32.368000, rms=0.640 (0.101%), neg=0, invalid=1511 0051: dt=32.368000, rms=0.639 (0.089%), neg=0, invalid=1511 0052: dt=32.368000, rms=0.639 (0.078%), neg=0, invalid=1511 0053: dt=32.368000, rms=0.638 (0.074%), neg=0, invalid=1511 0054: dt=32.368000, rms=0.638 (0.067%), neg=0, invalid=1511 0055: dt=32.368000, rms=0.638 (0.063%), neg=0, invalid=1511 0056: dt=32.368000, rms=0.637 (0.063%), neg=0, invalid=1511 0057: dt=32.368000, rms=0.637 (0.075%), neg=0, invalid=1511 0058: dt=32.368000, rms=0.636 (0.084%), neg=0, invalid=1511 0059: dt=32.368000, rms=0.636 (0.085%), neg=0, invalid=1511 0060: dt=32.368000, rms=0.635 (0.077%), neg=0, invalid=1511 0061: dt=32.368000, rms=0.635 (0.071%), neg=0, invalid=1511 0062: dt=32.368000, rms=0.634 (0.059% ), neg=0, invalid=1511 0063: dt=32.368000, rms=0.634 (0.057%), neg=0, invalid=1511 0064: dt=32.368000, rms=0.634 (0.051%), neg=0, invalid=1511 0065: dt=32.368000, rms=0.633 (0.048%), neg=0, invalid=1511 0066: dt= 32.368000, rms=0.633 (0.048%), neg=0, invalid=1511 0067: dt=32.368000, rms=0.633 (0.046%), neg=0, invalid=1511 0068: dt=32.368000, rms=0.632 (0.045%), neg=0, invalid=1511 0069: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511 0070: dt=32.368000, rms=0.632 (0.049%), neg=0, invalid=1511 0071: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511 0072: dt=32.368000, rms=0.631 (0.047%), neg=0, invalid=1511 0073: dt=32.368000, rms=0.631 (0.045%), neg=0, invalid=1511 0074: dt=32.368000, rms=0.631 (0.043%), neg=0, invalid=1511 0075: dt=32.368000, rms=0.630 (0.039%), neg=0, invalid=1511 0076: dt=32.368000, rms=0.630 (0.034%), neg=0, invalid=1511 0077: dt=32.368000, rms=0.630 (0.030%), neg=0, invalid=1511 0078: dt=32.368000, rms=0.630 (0.027%), neg=0, invalid=1511 0079: dt=32.368000, rms=0.630 (0.025%), neg=0, invalid=1511 0080: dt=32.368000, rms=0.630 (0.027% ), neg=0, invalid=1511 0081: dt=32.368000, rms=0.629 (0.032%), neg=0, invalid=1511 0082: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511 0083: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511 0084: dt= 32.368000, rms=0.629 (0.032%), neg=0, invalid=1511 0085: dt=32.368000, rms=0.629 (0.027%), neg=0, invalid=1511 0086: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0087: dt=32.368000, rms=0.628 (0.026%), neg=0, invalid=1511 0088: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0089: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511 0090: dt=32.368000, rms=0.628 (0.028%), neg=0, invalid=1511 0091: dt=32.368000, rms=0.628 (0.029%), neg=0, invalid=1511 0092: dt=32.368000, rms=0.627 (0.030%), neg=0, invalid=1511 0093: dt=32.368000, rms=0.627 (0.022%), neg=0, invalid=1511 0094: dt=32.368000, rms=0.627 (0.016%), neg=0, invalid=1511 0095: dt=3551.232053, rms=0.626 (0.239%), neg=0, invalid=1511 0096: dt=32.368000, rms=0.626 (0.015%), neg=0, invalid=1511 0097: dt=32.368000, rms=0.625 (0.005%), neg=0, invalid=1511 0098: dt=32.368000, rms=0.625 (- 0.010%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.625, neg=0, invalid=1511 0099: dt=129.472002, rms=0.623 (0.348%), neg=0, invalid=1511 0100: dt=221.952003 , rms=0.623 (0.107%), neg=0, invalid=1511 0101: dt=129.472002, rms=0.622 (0.101%), neg=0, invalid=1511 0102: dt=295.936004, rms=0.622 (0.056%), neg=0, invalid=1511 0103: dt=129.472002, rms=0.621 (0.072%), neg=0, invalid=1511 0104: dt=73.984001, rms=0.621 (0.007%), neg=0, invalid=1511 0105: dt=73.984001, rms=0.621 (0.013%), neg=0, invalid=1511 0106: dt=73.984001, rms=0.621 (0.023%), neg=0, invalid=1511 0107: dt=73.984001, rms=0.621 (0.036%), neg=0, invalid=1511 0108: dt=73.984001, rms=0.620 (0.046%), neg=0, invalid=1511 0109: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511 0110: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511 0111: dt=73.984001, rms=0.620 (0.047%), neg=0, invalid=1511 0112: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511 0113: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511 0114: dt=73.984001, rms=0.619 (0.047% ), neg=0, invalid=1511 0115: dt=73.984001, rms=0.618 (0.047%), neg=0, invalid=1511 0116: dt=73.984001, rms=0.618 (0.051%), neg=0, invalid=1511 0117: dt=73.984001, rms=0.618 (0.052%), neg=0, invalid=1511 0118: dt= 73.984001, rms=0.617 (0.048%), neg=0, invalid=1511 0119: dt=73.984001, rms=0.617 (0.042%), neg=0, invalid=1511 0120: dt=73.984001, rms=0.617 (0.041%), neg=0, invalid=1511 0121: dt=73.984001, rms=0.617 (0.037%), neg=0, invalid=1511 0122: dt=73.984001, rms=0.617 (0.034%), neg=0, invalid=1511 0123: dt=73.984001, rms=0.616 (0.038%), neg=0, invalid=1511 0124: dt=73.984001, rms=0.616 (0.037%), neg=0, invalid=1511 0125: dt=73.984001, rms=0.616 (0.040%), neg=0, invalid=1511 0126: dt=73.984001, rms=0.616 (0.041%), neg=0, invalid=1511 0127: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511 0128: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511 0129: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511 0130: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511 0131: dt=73.984001, rms=0.614 (0.035%), neg=0, invalid=1511 0132: dt=73.984001, rms=0.614 (0.031% ), neg=0, invalid=1511 0133: dt=73.984001, rms=0.614 (0.029%), neg=0, invalid=1511 0134: dt=73.984001, rms=0.614 (0.031%), neg=0, invalid=1511 0135: dt=73.984001, rms=0.614 (0.032%), neg=0, invalid=1511 0136: dt= 73.984001, rms=0.614 (0.027%), neg=0, invalid=1511 0137: dt=73.984001, rms=0.613 (0.020%), neg=0, invalid=1511 0138: dt=73.984001, rms=0.613 (0.027%), neg=0, invalid=1511 0139: dt=73.984001, rms=0.613 (0.028%), neg=0, invalid=1511 0140: dt=73.984001, rms=0.613 (0.031%), neg=0, invalid=1511 0141: dt=73.984001, rms=0.613 (0.034%), neg=0, invalid=1511 0142: dt=73.984001, rms=0.613 (0.024%), neg=0, invalid=1511 0143: dt=73.984001, rms=0.612 (0.020%), neg=0, invalid=1511 0144: dt=369.920006, rms=0.612 (0.023%), neg=0, invalid=1511 0145: dt=32.368000, rms=0.612 (0.002%), neg=0, invalid=1511 0146: dt=32.368000, rms=0.612 (-0.002%), neg=0, invalid=1511 setting smoothness coefficient to 0.03 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.614, neg=0, invalid=1511 0147: dt=29.460317, rms=0.613 (0.119%), neg=0, invalid=1511 0148: dt= 70.660633, rms=0.612 (0.163%), neg=0, invalid=1511 0149: dt=331.776005, rms=0.606 (0.988%), neg=0, invalid=1511 0150: dt=39.529412, rms=0.604 (0.369%), neg=0, invalid=1511 0151: dt=145.152002, rms=0.601 (0.532%), neg=0, invalid=1511 0152: dt=41.882353, rms=0.599 (0.274%), neg=0, invalid=1511 0153: dt=89.854305, rms=0.598 (0.199%), neg=0, invalid=1511 0154: dt=42.400000, rms=0.597 (0.167%), neg=0, invalid=1511 0155: dt=91.586207, rms=0.596 (0.155%), neg=0, invalid=1511 0156: dt=42.378378, rms=0.595 (0.152%), neg=0, invalid=1511 0157: dt=74.507463, rms=0.595 (0.115%), neg=0, invalid=1511 0158: dt=48.000000, rms=0.594 (0.124%), neg=0, invalid=1511 0159: dt=61.866667, rms=0.593 (0.114%), neg=0, invalid=1511 0160: dt=48.000000, rms=0.593 (0.098%), neg=0, invalid=1511 0161: dt=66.666667, rms=0.592 (0.092%), neg=0, invalid=1511 0162: dt=39.225806, rms=0.591 (0.111% ), neg=0, invalid=1511 0163: dt=82.944001, rms=0.591 (0.088%), neg=0, invalid=1511 0164: dt=45.913043, rms=0.590 (0.121%), neg=0, invalid=1511 0165: dt=73.600000, rms=0.590 (0.080%), neg=0, invalid=1511 0166: dt= 36.288001, rms=0.589 (0.097%), neg=0, invalid=1511 0167: dt=124.416002, rms=0.588 (0.140%), neg=0, invalid=1511 0168: dt=25.920000, rms=0.588 (0.089%), neg=0, invalid=1511 0169: dt=580.608009, rms=0.585 (0.512%), neg=0, invalid=1511 0170: dt=34.051282, rms=0.583 (0.222%), neg=0, invalid=1511 0171: dt=37.333333, rms=0.583 (0.039%), neg=0, invalid=1511 0172: dt=37.333333, rms=0.583 (0.068%), neg=0, invalid=1511 0173: dt=37.333333, rms=0.582 (0.065%), neg=0, invalid=1511 0174: dt=37.333333, rms=0.582 (0.083%), neg=0, invalid=1511 0175: dt=37.333333, rms=0.581 (0.103%), neg=0, invalid=1511 0176: dt=37.333333, rms=0.580 (0.148%), neg=0, invalid=1511 0177: dt=37.333333, rms=0.579 (0.163%), neg=0, invalid=1511 0178: dt=37.333333, rms=0.579 (0.161%), neg=0, invalid=1511 0179: dt=37.333333, rms=0.578 (0.152%), neg=0, invalid=1511 0180: dt=37.333333, rms=0.577 (0.159% ), neg=0, invalid=1511 0181: dt=37.333333, rms=0.576 (0.169%), neg=0, invalid=1511 0182: dt=37.333333, rms=0.575 (0.172%), neg=0, invalid=1511 0183: dt=37.333333, rms=0.574 (0.158%), neg=0, invalid=1511 0184: dt= 37.333333, rms=0.573 (0.143%), neg=0, invalid=1511 0185: dt=37.333333, rms=0.572 (0.125%), neg=0, invalid=1511 0186: dt=37.333333, rms=0.572 (0.111%), neg=0, invalid=1511 0187: dt=37.333333, rms=0.571 (0.122%), neg=0, invalid=1511 0188: dt=37.333333, rms=0.570 (0.108%), neg=0, invalid=1511 0189: dt=37.333333, rms=0.570 (0.115%), neg=0, invalid=1511 0190: dt=37.333333, rms=0.569 (0.114%), neg=0, invalid=1511 0191: dt=37.333333, rms=0.568 (0.112%), neg=0, invalid=1511 0192: dt=37.333333, rms=0.568 (0.122%), neg=0, invalid=1511 0193: dt=37.333333, rms=0.567 (0.096%), neg=0, invalid=1511 0194: dt=37.333333, rms=0.567 (0.076%), neg=0, invalid=1511 0195: dt=37.333333, rms=0.566 (0.080%), neg=0, invalid=1511 0196: dt=37.333333, rms=0.566 (0.096%), neg=0, invalid=1511 0197: dt=37.333333, rms=0.565 (0.089%), neg=0, invalid=1511 0198: dt=37.333333, rms=0.565 (0.092% ), neg=0, invalid=1511 0199: dt=37.333333, rms=0.564 (0.087%), neg=0, invalid=1511 0200: dt=37.333333, rms=0.564 (0.073%), neg=0, invalid=1511 0201: dt=37.333333, rms=0.563 (0.071%), neg=0, invalid=1511 0202: dt= 37.333333, rms=0.563 (0.086%), neg=0, invalid=1511 0203: dt=37.333333, rms=0.563 (0.086%), neg=0, invalid=1511 0204: dt=37.333333, rms=0.562 (0.063%), neg=0, invalid=1511 0205: dt=37.333333, rms=0.562 (0.044%), neg=0, invalid=1511 0206: dt=37.333333, rms=0.562 (0.061%), neg=0, invalid=1511 0207: dt=37.333333, rms=0.561 (0.063%), neg=0, invalid=1511 0208: dt=37.333333, rms=0.561 (0.067%), neg=0, invalid=1511 0209: dt=37.333333, rms=0.560 (0.071%), neg=0, invalid=1511 0210: dt=37.333333, rms=0.560 (0.054%), neg=0, invalid=1511 0211: dt=37.333333, rms=0.560 (0.043%), neg=0, invalid=1511 0212: dt=37.333333, rms=0.560 (0.039%), neg=0, invalid=1511 0213: dt=37.333333, rms=0.559 (0.043%), neg=0, invalid=1511 0214: dt=37.333333, rms=0.559 (0.046%), neg=0, invalid=1511 0215: dt=37.333333, rms=0.559 (0.039%), neg=0, invalid=1511 0216: dt=37.333333, rms=0.559 (0.043% ), neg=0, invalid=1511 0217: dt=37.333333, rms=0.558 (0.052%), neg=0, invalid=1511 0218: dt=37.333333, rms=0.558 (0.043%), neg=0, invalid=1511 0219: dt=37.333333, rms=0.558 (0.021%), neg=0, invalid=1511 0220: dt= 37.333333, rms=0.558 (0.019%), neg=0, invalid=1511 0221: dt=248.832004, rms=0.558 (0.064%), neg=0, invalid=1511 0222: dt=1.944000, rms=0.558 (0.001%), neg=0, invalid=1511 0223: dt=1.944000, rms=0.558 (-0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.558, neg=0, invalid=1511 0224: dt=109.782772, rms=0.555 (0.541%), neg=0, invalid=1511 0225: dt=41.846154, rms=0.553 (0.217%), neg=0, invalid=1511 0226: dt=74.666667, rms=0.553 (0.115%), neg=0, invalid=1511 0227: dt=36.288001, rms=0.552 (0.079%), neg=0, invalid=1511 0228: dt=145.152002, rms=0.551 (0.155%), neg=0, invalid=1511 0229: dt=36.288001, rms=0.551 (0.059%), neg=0, invalid=1511 0230: dt=145.152002, rms=0.550 (0.121%), neg=0, invalid=1511 0231: dt=25.920000, rms=0.550 (0.023%), neg=0, invalid=1511 0232: dt=25.920000, rms=0.550 (0.022%), neg=0, invalid=1511 0233: dt=25.920000, rms=0.550 (0.035%), neg=0, invalid=1511 0234: dt=25.920000, rms=0.550 (0.048%), neg=0, invalid=1511 0235: dt=25.920000, rms=0.549 (0.054%), neg=0, invalid=1511 0236: dt=25.920000, rms=0.549 (0.063% ), neg=0, invalid=1511 0237: dt=25.920000, rms=0.549 (0.070%), neg=0, invalid=1511 0238: dt=25.920000, rms=0.548 (0.074%), neg=0, invalid=1511 0239: dt=25.920000, rms=0.548 (0.078%), neg=0, invalid=1511 0240: dt= 25.920000, rms=0.548 (0.070%), neg=0, invalid=1511 0241: dt=25.920000, rms=0.547 (0.068%), neg=0, invalid=1511 0242: dt=25.920000, rms=0.547 (0.061%), neg=0, invalid=1511 0243: dt=25.920000, rms=0.547 (0.055%), neg=0, invalid=1511 0244: dt=25.920000, rms=0.546 (0.061%), neg=0, invalid=1511 0245: dt=25.920000, rms=0.546 (0.060%), neg=0, invalid=1511 0246: dt=25.920000, rms=0.546 (0.054%), neg=0, invalid=1511 0247: dt=25.920000, rms=0.545 (0.048%), neg=0, invalid=1511 0248: dt=25.920000, rms=0.545 (0.042%), neg=0, invalid=1511 0249: dt=25.920000, rms=0.545 (0.043%), neg=0, invalid=1511 0250: dt=25.920000, rms=0.545 (0.046%), neg=0, invalid=1511 0251: dt=25.920000, rms=0.544 (0.049%), neg=0, invalid=1511 0252: dt=25.920000, rms=0.544 (0.047%), neg=0, invalid=1511 0253: dt=25.920000, rms=0.544 (0.038%), neg=0, invalid=1511 0254: dt=25.920000, rms=0.544 (0.037% ), neg=0, invalid=1511 0255: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0256: dt=25.920000, rms=0.543 (0.035%), neg=0, invalid=1511 0257: dt=25.920000, rms=0.543 (0.030%), neg=0, invalid=1511 0258: dt= 25.920000, rms=0.543 (0.031%), neg=0, invalid=1511 0259: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0260: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511 0261: dt=25.920000, rms=0.542 (0.031%), neg=0, invalid=1511 0262: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511 0263: dt=25.920000, rms=0.542 (0.029%), neg=0, invalid=1511 0264: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511 0265: dt=25.920000, rms=0.542 (0.030%), neg=0, invalid=1511 0266: dt=25.920000, rms=0.542 (0.034%), neg=0, invalid=1511 0267: dt=25.920000, rms=0.541 (0.025%), neg=0, invalid=1511 0268: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511 0269: dt=25.920000, rms=0.541 (0.023%), neg=0, invalid=1511 0270: dt=25.920000, rms=0.541 (0.032%), neg=0, invalid=1511 0271: dt=25.920000, rms=0.541 (0.030%), neg=0, invalid=1511 0272: dt=25.920000, rms=0.541 (0.024% ), neg=0, invalid=1511 0273: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511 0274: dt=103.680002, rms=0.540 (0.007%), neg=0, invalid=1511 0275: dt=103.680002, rms=0.540 (0.008%), neg=0, invalid=1511 0276: dt= 103.680002, rms=0.540 (-0.067%), neg=0, invalid=1511 setting smoothness coefficient to 0.12 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.552, neg=0, invalid=1511 0277: dt=8.851064 , rms=0.551 (0.074%), neg=0, invalid=1511 0278: dt=8.000000, rms=0.551 (0.024%), neg=0, invalid=1511 0279: dt=8.000000, rms=0.551 (0.016%), neg=0, invalid=1511 0280: dt=8.000000, rms=0.551 (-0.007%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.551, neg=0, invalid=1511 0281: dt=52.411523, rms=0.546 (0.892%), neg=0, invalid=1511 0282: dt=18.418605, rms=0.544 (0.328%), neg=0, invalid=1511 0283: dt=33.446328, rms=0.543 (0.317%), neg=0, invalid=1511 0284: dt=12.745763, rms=0.542 (0.188%), neg=0, invalid=1511 0285: dt=62.745098, rms=0.540 (0.347%), neg=0, invalid=1511 0286: dt=21.034268, rms=0.538 (0.259%), neg=0, invalid=1511 0287: dt=19.200000, rms=0.537 (0.248%), neg=0, invalid=1511 0288: dt=11.200000, rms=0.537 (0.075%), neg=0, invalid=1511 0289: dt=128.000002, rms=0.534 (0.491%), neg=0, invalid=1511 0290: dt=16.000000, rms=0.533 (0.150%), neg=0, invalid=1511 0291: dt=39.360000, rms=0.532 (0.244%), neg=0, invalid=1511 0292: dt=15.703704, rms=0.531 (0.146%), neg=0, invalid=1511 0293: dt=44.800001, rms=0.530 (0.195% ), neg=0, invalid=1511 0294: dt=11.466667, rms=0.530 (0.090%), neg=0, invalid=1511 0295: dt=179.200003, rms=0.527 (0.478%), neg=0, invalid=1511 0296: dt=19.047619, rms=0.526 (0.124%), neg=0, invalid=1511 0297: dt= 31.020408, rms=0.525 (0.161%), neg=0, invalid=1511 0298: dt=15.000000, rms=0.525 (0.101%), neg=0, invalid=1511 0299: dt=20.740741, rms=0.525 (0.049%), neg=0, invalid=1511 0300: dt=20.740741, rms=0.525 (0.031%), neg=0, invalid=1511 0301: dt=20.740741, rms=0.524 (0.144%), neg=0, invalid=1511 0302: dt=20.740741, rms=0.523 (0.121%), neg=0, invalid=1511 0303: dt=20.740741, rms=0.522 (0.182%), neg=0, invalid=1511 0304: dt=20.740741, rms=0.521 (0.164%), neg=0, invalid=1511 0305: dt=20.740741, rms=0.520 (0.222%), neg=0, invalid=1511 0306: dt=20.740741, rms=0.519 (0.232%), neg=0, invalid=1511 0307: dt=20.740741, rms=0.518 (0.170%), neg=0, invalid=1511 0308: dt=20.740741, rms=0.517 (0.216%), neg=0, invalid=1511 0309: dt=20.740741, rms=0.516 (0.232%), neg=0, invalid=1511 0310: dt=20.740741, rms=0.515 (0.160%), neg=0, invalid=1511 0311: dt=20.740741, rms=0.514 (0.194% ), neg=0, invalid=1511 0312: dt=20.740741, rms=0.513 (0.186%), neg=0, invalid=1511 0313: dt=20.740741, rms=0.512 (0.119%), neg=0, invalid=1511 0314: dt=20.740741, rms=0.511 (0.183%), neg=0, invalid=1511 0315: dt= 20.740741, rms=0.511 (0.149%), neg=0, invalid=1511 0316: dt=20.740741, rms=0.510 (0.095%), neg=0, invalid=1511 0317: dt=20.740741, rms=0.510 (0.133%), neg=0, invalid=1511 0318: dt=20.740741, rms=0.509 (0.108%), neg=0, invalid=1511 0319: dt=20.740741, rms=0.509 (0.072%), neg=0, invalid=1511 0320: dt=20.740741, rms=0.508 (0.100%), neg=0, invalid=1511 0321: dt=20.740741, rms=0.508 (0.064%), neg=0, invalid=1511 0322: dt=20.740741, rms=0.507 (0.061%), neg=0, invalid=1511 0323: dt=20.740741, rms=0.507 (0.079%), neg=0, invalid=1511 0324: dt=20.740741, rms=0.507 (0.047%), neg=0, invalid=1511 0325: dt=20.740741, rms=0.507 (0.056%), neg=0, invalid=1511 0326: dt=20.740741, rms=0.506 (0.068%), neg=0, invalid=1511 0327: dt=20.740741, rms=0.506 (0.044%), neg=0, invalid=1511 0328: dt=20.740741, rms=0.506 (0.049%), neg=0, invalid=1511 0329: dt=20.740741, rms=0.506 (0.040% ), neg=0, invalid=1511 0330: dt=20.740741, rms=0.505 (0.035%), neg=0, invalid=1511 0331: dt=20.740741, rms=0.505 (0.062%), neg=0, invalid=1511 0332: dt=20.740741, rms=0.505 (0.048%), neg=0, invalid=1511 0333: dt= 20.740741, rms=0.505 (0.034%), neg=0, invalid=1511 0334: dt=20.740741, rms=0.504 (0.054%), neg=0, invalid=1511 0335: dt=20.740741, rms=0.504 (0.021%), neg=0, invalid=1511 0336: dt=20.740741, rms=0.504 (0.044%), neg=0, invalid=1511 0337: dt=20.740741, rms=0.504 (0.033%), neg=0, invalid=1511 0338: dt=20.740741, rms=0.504 (0.018%), neg=0, invalid=1511 0339: dt=20.740741, rms=0.504 (0.035%), neg=0, invalid=1511 0340: dt=20.740741, rms=0.503 (0.030%), neg=0, invalid=1511 0341: dt=20.740741, rms=0.503 (0.022%), neg=0, invalid=1511 0342: dt=20.740741, rms=0.503 (0.043%), neg=0, invalid=1511 0343: dt=20.740741, rms=0.503 (0.020%), neg=0, invalid=1511 0344: dt=20.740741, rms=0.503 (0.025%), neg=0, invalid=1511 0345: dt=20.740741, rms=0.503 (0.032%), neg=0, invalid=1511 0346: dt=20.740741, rms=0.503 (0.010%), neg=0, invalid=1511 0347: dt=20.740741, rms=0.503 (0.009% ), neg=0, invalid=1511 0348: dt=14.400000, rms=0.503 (0.020%), neg=0, invalid=1511 0349: dt=6.400000, rms=0.503 (0.005%), neg=0, invalid=1511 0350: dt=6.400000, rms=0.502 (0.003%), neg=0, invalid=1511 0351: dt= 6.400000, rms=0.502 (0.002%), neg=0, invalid=1511 0352: dt=6.400000, rms=0.502 (0.004%), neg=0, invalid=1511 0353: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511 0354: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511 setting smoothness coefficient to 0.40 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.525, neg=0, invalid=1511 0355: dt=0.000000, rms=0.525 (-0.001%), neg=0, invalid=1511 blurring input image with Gaussian with sigma= 0.500... 0000: dt=0.000, rms=0.525, neg=0, invalid=1511 0356: dt=0.000000, rms=0.525 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 1.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.571, neg=0, invalid=1511 0357: dt=1.096026, rms=0.568 (0.531%), neg=0, invalid=1511 0358: dt=0.256000, rms=0.568 (0.012%), neg=0, invalid=1511 0359: dt=0.256000, rms=0.568 (-0.010%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.568, neg=0, invalid=1511 0360: dt=0.820896, rms=0.567 (0.131%), neg=0, invalid=1511 0361: dt=0.256000, rms=0.567 (0.007%), neg=0, invalid=1511 0362: dt=0.256000, rms=0.567 (-0.004%), neg=0, invalid=1511 resetting metric properties... setting smoothness coefficient to 2.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms= 0.512, neg=0, invalid=1511 0363: dt=0.448000, rms=0.497 (2.912%), neg=0, invalid=1511 0364: dt=0.448000, rms=0.495 (0.412%), neg=0, invalid=1511 0365: dt=0.448000, rms=0.493 (0.311%), neg=0, invalid=1511 0366: dt= 0.320000, rms=0.493 (0.134%), neg=0, invalid=1511 0367: dt=0.028000, rms=0.493 (0.009%), neg=0, invalid=1511 0368: dt=0.028000, rms=0.493 (0.010%), neg=0, invalid=1511 0369: dt=0.028000, rms=0.493 (0.017%), neg=0, invalid=1511 0370: dt=0.028000, rms=0.492 (0.024%), neg=0, invalid=1511 0371: dt=0.028000, rms=0.492 (0.031%), neg=0, invalid=1511 0372: dt=0.028000, rms=0.492 (0.035%), neg=0, invalid=1511 0373: dt=0.028000, rms=0.492 (0.039% ), neg=0, invalid=1511 0374: dt=0.028000, rms=0.492 (0.042%), neg=0, invalid=1511 0375: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0376: dt=0.028000, rms=0.491 (0.043%), neg=0, invalid=1511 0377: dt= 0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0378: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511 0379: dt=0.028000, rms=0.491 (0.040%), neg=0, invalid=1511 0380: dt=0.028000, rms=0.490 (0.040%), neg=0, invalid=1511 0381: dt=0.028000, rms=0.490 (0.035%), neg=0, invalid=1511 0382: dt=0.028000, rms=0.490 (0.034%), neg=0, invalid=1511 0383: dt=0.028000, rms=0.490 (0.029%), neg=0, invalid=1511 0384: dt=0.028000, rms=0.490 (0.029% ), neg=0, invalid=1511 0385: dt=0.028000, rms=0.490 (0.026%), neg=0, invalid=1511 0386: dt=0.028000, rms=0.490 (0.023%), neg=0, invalid=1511 0387: dt=0.028000, rms=0.489 (0.020%), neg=0, invalid=1511 0388: dt= 0.000015, rms=0.489 (-0.001%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.489, neg=0, invalid=1511 0389: dt=0.448000, rms=0.483 (1.320%), neg=0, invalid=1511 0390: dt=0.320000, rms=0.483 (0.058%), neg=0, invalid=1511 0391: dt=0.031250, rms=0.483 (0.005%), neg=0, invalid=1511 0392: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511 0393: dt=0.031250, rms=0.483 (0.009% ), neg=0, invalid=1511 0394: dt=0.031250, rms=0.483 (0.012%), neg=0, invalid=1511 0395: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511 0396: dt=0.031250, rms=0.483 (0.008%), neg=0, invalid=1511 0397: dt= 0.031250, rms=0.482 (0.010%), neg=0, invalid=1511 0398: dt=0.031250, rms=0.482 (0.014%), neg=0, invalid=1511 0399: dt=0.031250, rms=0.482 (0.015%), neg=0, invalid=1511 0400: dt=0.031250, rms=0.482 (0.017%), neg=0, invalid=1511 0401: dt=0.015625, rms=0.482 (0.001%), neg=0, invalid=1511 0402: dt=0.096000, rms=0.482 (0.008%), neg=0, invalid=1511 0403: dt=0.020000, rms=0.482 (0.003%), neg=0, invalid=1511 label assignment complete, 0 changed ( 0.00%) ***************** morphing with label term set to 0
label assignment complete, 0 changed (0.00%) **************** pass 1 of 1 ************************ setting smoothness coefficient to 0.01 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.480, neg=0, invalid=1511 0404: dt=2.023000, rms=0.480 (-0.069%), neg=0, invalid=1511 blurring input image with Gaussian with sigma= 0.500... 0000: dt=0.000, rms=0.480, neg=0, invalid=1511 0405: dt=129.472002, rms=0.480 (0.189%), neg=0, invalid=1511 0406: dt=110.976002, rms=0.479 (0.045%), neg=0, invalid=1511 0407: dt=110.976002, rms=0.479 ( 0.039%), neg=0, invalid=1511 0408: dt=110.976002, rms=0.479 (0.044%), neg=0, invalid=1511 0409: dt=110.976002, rms=0.479 (0.041%), neg=0, invalid=1511 0410: dt=110.976002, rms=0.479 (0.020%), neg=0, invalid=1511 0411: dt=110.976002, rms=0.479 (0.015%), neg=0, invalid=1511 0412: dt=129.472002, rms=0.478 (0.024%), neg=0, invalid=1511 0413: dt=73.984001, rms=0.478 (0.006%), neg=0, invalid=1511 0414: dt=73.984001, rms=0.478 ( 0.007%), neg=0, invalid=1511 0415: dt=73.984001, rms=0.478 (0.010%), neg=0, invalid=1511 0416: dt=73.984001, rms=0.478 (0.012%), neg=0, invalid=1511 0417: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511 0418: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511 setting smoothness coefficient to 0.03 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.478, neg=0, invalid=1511 0419: dt= 0.000000, rms=0.478 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.478, neg=0, invalid=1511 0420: dt=145.152002, rms=0.476 (0.360%), neg=0, invalid=1511 0421: dt=82.944001, rms=0.476 (0.107%), neg=0, invalid=1511 0422: dt=46.545455, rms=0.476 (0.067%), neg=0, invalid=1511 0423: dt=82.944001, rms=0.475 (0.074%), neg=0, invalid=1511 0424: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511 0425: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511 0426: dt=44.800000, rms=0.475 (0.056%), neg=0, invalid=1511 0427: dt=44.800000, rms=0.474 (0.077%), neg=0, invalid=1511 0428: dt=44.800000, rms=0.474 (0.072%), neg=0, invalid=1511 0429: dt=22.400000, rms=0.474 (0.019%), neg=0, invalid=1511 0430: dt=11.200000, rms=0.474 (0.005%), neg=0, invalid=1511 0431: dt=9.072000, rms=0.474 (0.004% ), neg=0, invalid=1511 0432: dt=1.134000, rms=0.474 (0.000%), neg=0, invalid=1511 0433: dt=0.567000, rms=0.474 (0.000%), neg=0, invalid=1511 0434: dt=0.283500, rms=0.474 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 0.12 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0435: dt=0.002734, rms=0.474 (0.000%), neg=0, invalid=1511 0436: dt=0.000488, rms=0.474 (0.000%), neg=0, invalid=1511 0437: dt=0.000031, rms=0.474 (0.000%), neg=0, invalid=1511 0438: dt=0.000015, rms=0.474 (0.000%), neg=0, invalid=1511 0439: dt=0.000004, rms=0.474 (-0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma= 0.500... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0440: dt=0.000000, rms=0.474 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 0.40 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.475, neg=0, invalid=1511 0441: dt=0.000000, rms=0.475 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.475, neg=0, invalid=1511 0442: dt= 0.000000, rms=0.475 (0.000%), neg=0, invalid=1511 setting smoothness coefficient to 1.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.476, neg=0, invalid=1511 0443: dt=0.000000, rms= 0.476 (0.000%), neg=0, invalid=1511 blurring input image with Gaussian with sigma=0.500... 0000: dt=0.000, rms=0.476, neg=0, invalid=1511 0444: dt=0.000000, rms=0.476 (0.000%), neg=0, invalid=1511 resetting metric properties... setting smoothness coefficient to 2.00 blurring input image with Gaussian with sigma=2.000... 0000: dt=0.000, rms=0.474, neg=0, invalid=1511 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation fault ERROR: mri_ca_register with non-zero status
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