‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۵:۴۸ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004
/usr/local/freesurfer/bin/recon-all
-subjid Subject004 -i /home/fmri-04/Desktop/TEST/T1Img/Subject004/mprage.nii -all
subjid Subject004
setenv SUBJECTS_DIR /home/fmri-04/Documents/workshop/subjects
FREESURFER_HOME /usr/local/freesurfer
Actual FREESURFER_HOME /usr/local/freesurfer
build-stamp.txt: freesurfer-Linux-centos6_x86_64-stable-pub-v5.3.0
Linux fmri04 3.19.0-25-generic #26~14.04.1-Ubuntu SMP Fri Jul 24 21:16:20 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux
cputime      unlimited
filesize     unlimited
datasize     unlimited
stacksize    8192 kbytes
coredumpsize 0 kbytes
memoryuse    unlimited
vmemoryuse   unlimited
descriptors  1024 
memorylocked 64 kbytes
maxproc      23667 
maxlocks     unlimited
maxsignal    23667 
maxmessage   819200 
maxnice      0 
maxrtprio    0 
maxrttime    unlimited

             total       used       free     shared    buffers     cached
Mem:       6080200    5507880     572320         36       3428     130684
-/+ buffers/cache:    5373768     706432
Swap:      9764860    5370056    4394804

########################################
program versions used
$Id: recon-all,v 1.379.2.73 2013/05/12 23:15:37 nicks Exp $
$Id: mri_motion_correct.fsl,v 1.14 2011/03/02 20:16:39 nicks Exp $
mri_convert -all-info 
ProgramName: mri_convert  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:49-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
FLIRT version 5.5
$Id: talairach_avi,v 1.9 2011/03/02 18:38:06 nicks Exp $
mri_convert --version 
stable5
ProgramName: tkregister2_cmdl  ProgramArguments: --all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:49-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: tkregister2.c,v 1.121.2.1 2011/03/28 20:25:16 greve Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
Program nu_correct, built from:
Package MNI N3, version 1.10, compiled by nicks@minerva (x86_64-unknown-linux-gnu) on 2010-02-20 at 17:32:37
ProgramName: mri_make_uchar  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:53-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_make_uchar.c,v 1.4 2011/03/02 00:04:14 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_normalize  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:54-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_normalize.c,v 1.73.2.1 2012/10/17 19:11:32 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_watershed  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:54-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_watershed.cpp,v 1.96.2.1 2011/11/08 22:18:44 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_gcut  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:55-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_gcut.cpp,v 1.14 2011/03/02 00:04:16 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_segment  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:55-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_segment.c,v 1.40 2011/03/02 00:04:24 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_label2label  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:55-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_label2label.c,v 1.40.2.2 2013/04/02 16:26:15 greve Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 


 ======= NUMBER OF OPENMP THREADS = 1 ======= 
ProgramName: mri_em_register  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:56-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_em_register.c,v 1.84.2.3 2013/02/09 00:49:26 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_ca_normalize  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:56-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_ca_normalize.c,v 1.52.2.2 2012/10/17 19:11:32 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_ca_register  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:57-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_ca_register.c,v 1.78.2.3 2013/02/09 00:42:20 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_ca_label  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:57-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_ca_label.c,v 1.96.2.1 2012/08/28 22:11:20 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_pretess  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:58-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_pretess.c,v 1.20 2011/03/02 00:04:23 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_fill  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:58-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_fill.c,v 1.118 2011/03/16 21:23:49 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_tessellate  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:59-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_tessellate.c,v 1.36 2011/03/02 00:04:25 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_concatenate_lta  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:15:59-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_concatenate_lta.c,v 1.10 2011/03/16 21:23:48 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_normalize_tp2  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:00-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_normalize_tp2.c,v 1.8 2011/03/02 00:04:23 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_smooth  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:00-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_smooth.c,v 1.28 2011/03/02 00:04:34 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_inflate  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:01-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_inflate.c,v 1.43 2011/03/02 00:04:32 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_curvature  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:01-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_curvature.c,v 1.31 2011/03/02 00:04:30 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_sphere  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:02-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_sphere.c,v 1.57 2011/03/02 00:04:34 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_fix_topology  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:02-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_fix_topology.c,v 1.48 2011/03/02 00:04:32 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_topo_fixer  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:03-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_topo_fixer.cpp,v 1.29 2011/03/02 00:04:34 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_ca_label  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:03-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_ca_label.c,v 1.35 2011/03/02 00:04:27 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_euler_number  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:04-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_euler_number.c,v 1.8.2.2 2013/01/14 22:40:07 greve Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_make_surfaces  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:04-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_make_surfaces.c,v 1.127.2.6 2013/05/12 22:28:01 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_register  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:05-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_register.c,v 1.59 2011/03/02 00:04:33 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_volmask  ProgramArguments: --all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:05-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_volmask.cpp,v 1.25 2011/03/02 00:04:34 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_anatomical_stats  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:05-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_anatomical_stats.c,v 1.72 2011/03/02 00:04:26 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mrisp_paint  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:06-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mrisp_paint.c,v 1.11 2011/03/02 00:04:35 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_curvature_stats  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:06-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_curvature_stats.c,v 1.64 2011/03/02 00:04:30 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mris_calc  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:07-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mris_calc.c,v 1.37.2.8 2013/01/28 17:05:17 greve Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
$Id: mri_robust_register.cpp,v 1.52.2.3 2012/11/20 17:26:47 mreuter Exp $

ProgramName: mri_robust_register  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:07-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_robust_register.cpp,v 1.52.2.3 2012/11/20 17:26:47 mreuter Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
$Id: mri_robust_template.cpp,v 1.37.2.2 2012/10/10 19:59:06 mreuter Exp $

ProgramName: mri_robust_template  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:08-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_robust_template.cpp,v 1.37.2.2 2012/10/10 19:59:06 mreuter Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_and  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:08-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_and.c,v 1.4 2011/03/02 00:04:13 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_or  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:08-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_or.c,v 1.3 2011/03/02 00:04:13 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_fuse_segmentations  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:09-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_fuse_segmentations.c,v 1.8 2011/03/02 00:04:15 nicks Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
ProgramName: mri_segstats  ProgramArguments: -all-info  ProgramVersion: $Name: stable5 $  TimeStamp: 2016/12/23-01:16:09-GMT  BuildTimeStamp: May 13 2013 16:24:28  CVS: $Id: mri_segstats.c,v 1.75.2.9 2013/02/16 00:09:33 greve Exp $  User: fmri-04  Machine: fmri04  Platform: Linux  PlatformVersion: 3.19.0-25-generic  CompilerName: GCC  CompilerVersion: 40400 
#######################################
GCADIR /usr/local/freesurfer/average
GCA RB_all_2008-03-26.gca
GCASkull RB_all_withskull_2008-03-26.gca
AvgCurvTif average.curvature.filled.buckner40.tif
GCSDIR /usr/local/freesurfer/average
GCS curvature.buckner40.filled.desikan_killiany.2010-03-25.gcs
#######################################
/home/fmri-04/Documents/workshop/subjects/Subject004

 mri_convert /home/fmri-04/Desktop/TEST/T1Img/Subject004/mprage.nii /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig/001.mgz 

mri_convert /home/fmri-04/Desktop/TEST/T1Img/Subject004/mprage.nii /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig/001.mgz 
$Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter Exp $
reading from /home/fmri-04/Desktop/TEST/T1Img/Subject004/mprage.nii...
TR=0.00, TE=0.00, TI=0.00, flip angle=0.00
i_ras = (-1, -0, 0)
j_ras = (-0, 1, 0)
k_ras = (-0, -0, 1)
writing to /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig/001.mgz...
#--------------------------------------------
#@# MotionCor ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۶:۱۵ (IRST)‬
Found 1 runs
/home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig/001.mgz
Checking for (invalid) multi-frame inputs...
WARNING: only one run found. This is OK, but motion
correction cannot be performed on one run, so I'll
copy the run to rawavg and continue.

 cp /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig/001.mgz /home/fmri-04/Documents/workshop/subjects/Subject004/mri/rawavg.mgz 

/home/fmri-04/Documents/workshop/subjects/Subject004

 mri_convert /home/fmri-04/Documents/workshop/subjects/Subject004/mri/rawavg.mgz /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig.mgz --conform 

mri_convert /home/fmri-04/Documents/workshop/subjects/Subject004/mri/rawavg.mgz /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig.mgz --conform 
$Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter Exp $
reading from /home/fmri-04/Documents/workshop/subjects/Subject004/mri/rawavg.mgz...
TR=0.00, TE=0.00, TI=0.00, flip angle=0.00
i_ras = (-1, -0, 0)
j_ras = (-0, 1, 0)
k_ras = (-0, -0, 1)
Original Data has (1.33, 1, 1) mm size and (128, 256, 256) voxels.
Data is conformed to 1 mm size and 256 voxels for all directions
changing data type from float to uchar (noscale = 0)...
MRIchangeType: Building histogram 
Reslicing using trilinear interpolation 
writing to /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig.mgz...

 mri_add_xform_to_header -c /home/fmri-04/Documents/workshop/subjects/Subject004/mri/transforms/talairach.xfm /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig.mgz /home/fmri-04/Documents/workshop/subjects/Subject004/mri/orig.mgz 

INFO: extension is mgz
#--------------------------------------------
#@# Talairach ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۶:۲۴ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_nu_correct.mni --n 1 --proto-iters 1000 --distance 50 --no-rescale --i orig.mgz --o orig_nu.mgz 


 talairach_avi --i orig_nu.mgz --xfm transforms/talairach.auto.xfm 


 cp transforms/talairach.auto.xfm transforms/talairach.xfm 

#--------------------------------------------
#@# Talairach Failure Detection ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۸:۴۵ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 talairach_afd -T 0.005 -xfm transforms/talairach.xfm 

talairach_afd: Talairach Transform: transforms/talairach.xfm OK (p=0.4063, pval=0.0643 >= threshold=0.0050)

 awk -f /usr/local/freesurfer/bin/extract_talairach_avi_QA.awk /home/fmri-04/Documents/workshop/subjects/Subject004/mri/transforms/talairach_avi.log 


 tal_QC_AZS /home/fmri-04/Documents/workshop/subjects/Subject004/mri/transforms/talairach_avi.log 

TalAviQA: 0.97490
z-score: 0
#--------------------------------------------
#@# Nu Intensity Correction ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۸:۴۵ (IRST)‬

 mri_nu_correct.mni --i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2 

/home/fmri-04/Documents/workshop/subjects/Subject004/mri
/usr/local/freesurfer/bin/mri_nu_correct.mni
--i orig.mgz --o nu.mgz --uchar transforms/talairach.xfm --n 2
nIters 2
$Id: mri_nu_correct.mni,v 1.18.2.1 2013/01/09 21:23:42 nicks Exp $
Linux fmri04 3.19.0-25-generic #26~14.04.1-Ubuntu SMP Fri Jul 24 21:16:20 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux
‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۸:۴۵ (IRST)‬
Program nu_correct, built from:
Package MNI N3, version 1.10, compiled by nicks@minerva (x86_64-unknown-linux-gnu) on 2010-02-20 at 17:32:37
tmpdir is ./tmp.mri_nu_correct.mni.27559
/home/fmri-04/Documents/workshop/subjects/Subject004/mri
mri_convert orig.mgz ./tmp.mri_nu_correct.mni.27559/nu0.mnc -odt float
mri_convert orig.mgz ./tmp.mri_nu_correct.mni.27559/nu0.mnc -odt float 
$Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter Exp $
reading from orig.mgz...
TR=0.00, TE=0.00, TI=0.00, flip angle=0.00
i_ras = (-1, 0, 0)
j_ras = (0, 0, -1)
k_ras = (0, 1, 0)
changing data type from uchar to float (noscale = 0)...
writing to ./tmp.mri_nu_correct.mni.27559/nu0.mnc...
 
--------------------------------------------------------
Iteration 1 ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۸:۵۰ (IRST)‬
nu_correct -clobber ./tmp.mri_nu_correct.mni.27559/nu0.mnc ./tmp.mri_nu_correct.mni.27559/nu1.mnc -tmpdir ./tmp.mri_nu_correct.mni.27559/0/
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 165.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 170.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 211.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1051.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1054.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1449.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1455.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1457.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1481.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1631.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1633.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1635.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1637.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1639.
	(Maybe you should just omit the defined()?)
[fmri-04@fmri04:/home/fmri-04/Documents/workshop/subjects/Subject004/mri/] [2016-12-23 04:48:51] running:
  /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 50 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1 -distance 200 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.27559/0/ ./tmp.mri_nu_correct.mni.27559/nu0.mnc ./tmp.mri_nu_correct.mni.27559/nu1.imp

Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Number of iterations: 49 
CV of field change: 0.000960388
[fmri-04@fmri04:/home/fmri-04/Documents/workshop/subjects/Subject004/mri/] [2016-12-23 04:49:16] running:
  /usr/local/freesurfer/mni/bin/make_template -quiet -shrink 3 ./tmp.mri_nu_correct.mni.27559/nu0.mnc ./tmp.mri_nu_correct.mni.27559/0//template.mnc

Transforming slices:......................................................................................Done
Transforming slices:................................................................................................................................................................................................................................................................Done
 
 
--------------------------------------------------------
Iteration 2 ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۴۹:۲۰ (IRST)‬
nu_correct -clobber ./tmp.mri_nu_correct.mni.27559/nu1.mnc ./tmp.mri_nu_correct.mni.27559/nu2.mnc -tmpdir ./tmp.mri_nu_correct.mni.27559/1/
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 165.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 170.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 211.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1051.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1054.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1449.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1455.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1457.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1481.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1631.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1633.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1635.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1637.
	(Maybe you should just omit the defined()?)
defined(@array) is deprecated at /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em line 1639.
	(Maybe you should just omit the defined()?)
[fmri-04@fmri04:/home/fmri-04/Documents/workshop/subjects/Subject004/mri/] [2016-12-23 04:49:21] running:
  /usr/local/freesurfer/mni/bin/nu_estimate_np_and_em -parzen -log -sharpen 0.15 0.01 -iterations 50 -stop 0.001 -shrink 4 -auto_mask -nonotify -b_spline 1 -distance 200 -quiet -execute -clobber -nokeeptmp -tmpdir ./tmp.mri_nu_correct.mni.27559/1/ ./tmp.mri_nu_correct.mni.27559/nu1.mnc ./tmp.mri_nu_correct.mni.27559/nu2.imp

Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Use of ?PATTERN? without explicit operator is deprecated at /usr/local/freesurfer/mni/bin/sharpen_volume line 153.
Processing:.................................................................Done
Number of iterations: 25 
CV of field change: 0.00095279
[fmri-04@fmri04:/home/fmri-04/Documents/workshop/subjects/Subject004/mri/] [2016-12-23 04:49:34] running:
  /usr/local/freesurfer/mni/bin/make_template -quiet -shrink 3 ./tmp.mri_nu_correct.mni.27559/nu1.mnc ./tmp.mri_nu_correct.mni.27559/1//template.mnc

Transforming slices:......................................................................................Done
Transforming slices:................................................................................................................................................................................................................................................................Done
 
 
 
mri_binarize --i ./tmp.mri_nu_correct.mni.27559/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.27559/ones.mgz

$Id: mri_binarize.c,v 1.26.2.1 2011/04/08 15:40:50 greve Exp $
cwd /home/fmri-04/Documents/workshop/subjects/Subject004/mri
cmdline mri_binarize --i ./tmp.mri_nu_correct.mni.27559/nu2.mnc --min -1 --o ./tmp.mri_nu_correct.mni.27559/ones.mgz 
sysname  Linux
hostname fmri04
machine  x86_64
user     fmri-04

input      ./tmp.mri_nu_correct.mni.27559/nu2.mnc
frame      0
nErode3d   0
nErode2d   0
output     ./tmp.mri_nu_correct.mni.27559/ones.mgz
Binarizing based on threshold
min        -1
max        +infinity
binval        1
binvalnot     0
Found 16777216 values in range
Counting number of voxels
Found 16777216 voxels in final mask
mri_binarize done
mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.27559/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.27559/sum.junk --avgwf ./tmp.mri_nu_correct.mni.27559/input.mean.dat

$Id: mri_segstats.c,v 1.75.2.9 2013/02/16 00:09:33 greve Exp $
cwd 
cmdline mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.27559/ones.mgz --i orig.mgz --sum ./tmp.mri_nu_correct.mni.27559/sum.junk --avgwf ./tmp.mri_nu_correct.mni.27559/input.mean.dat 
sysname  Linux
hostname fmri04
machine  x86_64
user     fmri-04
UseRobust  0
Loading ./tmp.mri_nu_correct.mni.27559/ones.mgz
Loading orig.mgz
Voxel Volume is 1 mm^3
Generating list of segmentation ids
Found   1 segmentations
Computing statistics for each segmentation
  0     1                                     16777216  16777216.000

Reporting on   1 segmentations
Computing spatial average of each frame
  0
Writing to ./tmp.mri_nu_correct.mni.27559/input.mean.dat
mri_segstats done
mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.27559/ones.mgz --i ./tmp.mri_nu_correct.mni.27559/nu2.mnc --sum ./tmp.mri_nu_correct.mni.27559/sum.junk --avgwf ./tmp.mri_nu_correct.mni.27559/output.mean.dat

$Id: mri_segstats.c,v 1.75.2.9 2013/02/16 00:09:33 greve Exp $
cwd 
cmdline mri_segstats --id 1 --seg ./tmp.mri_nu_correct.mni.27559/ones.mgz --i ./tmp.mri_nu_correct.mni.27559/nu2.mnc --sum ./tmp.mri_nu_correct.mni.27559/sum.junk --avgwf ./tmp.mri_nu_correct.mni.27559/output.mean.dat 
sysname  Linux
hostname fmri04
machine  x86_64
user     fmri-04
UseRobust  0
Loading ./tmp.mri_nu_correct.mni.27559/ones.mgz
Loading ./tmp.mri_nu_correct.mni.27559/nu2.mnc
Voxel Volume is 1 mm^3
Generating list of segmentation ids
Found   1 segmentations
Computing statistics for each segmentation
  0     1                                     16777216  16777216.000

Reporting on   1 segmentations
Computing spatial average of each frame
  0
Writing to ./tmp.mri_nu_correct.mni.27559/output.mean.dat
mri_segstats done
mris_calc -o ./tmp.mri_nu_correct.mni.27559/nu2.mnc ./tmp.mri_nu_correct.mni.27559/nu2.mnc mul .98569886316451989352
Saving result to './tmp.mri_nu_correct.mni.27559/nu2.mnc' (type = MINC )                       [ ok ]
mri_convert ./tmp.mri_nu_correct.mni.27559/nu2.mnc nu.mgz --like orig.mgz
mri_convert ./tmp.mri_nu_correct.mni.27559/nu2.mnc nu.mgz --like orig.mgz 
$Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter Exp $
reading from ./tmp.mri_nu_correct.mni.27559/nu2.mnc...
TR=0.00, TE=0.00, TI=0.00, flip angle=0.00
i_ras = (-1, 0, 0)
j_ras = (0, 0, -1)
k_ras = (0, 1, 0)
INFO: transform src into the like-volume: orig.mgz
writing to nu.mgz...
mri_make_uchar nu.mgz transforms/talairach.xfm nu.mgz
type change took 0 minutes and 6 seconds.
mapping ( 4, 139) to ( 3, 110)
 
 
‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۵۰:۲۶ (IRST)‬
mri_nu_correct.mni done

 mri_add_xform_to_header -c /home/fmri-04/Documents/workshop/subjects/Subject004/mri/transforms/talairach.xfm nu.mgz nu.mgz 

INFO: extension is mgz
#--------------------------------------------
#@# Intensity Normalization ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۵۰:۲۷ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_normalize -g 1 nu.mgz T1.mgz 

using max gradient = 1.000
reading from nu.mgz...
normalizing image...
talairach transform
 0.969   0.074  -0.058  -8.140;
-0.086   1.112  -0.161  -23.158;
 0.040   0.158   1.029  -43.199;
 0.000   0.000   0.000   1.000;
processing without aseg, no1d=0
MRInormInit(): 
INFO: Modifying talairach volume c_(r,a,s) based on average_305
MRInormalize(): 
MRIsplineNormalize(): npeaks = 21
Starting OpenSpline(): npoints = 21
building Voronoi diagram...
performing soap bubble smoothing, sigma = 8...

Iterating 2 times
---------------------------------
3d normalization pass 1 of 2
white matter peak found at 111
white matter peak found at 109
gm peak at 61 (61), valley at 38 (38)
csf peak at 30, setting threshold to 50
building Voronoi diagram...
performing soap bubble smoothing, sigma = 8...
---------------------------------
3d normalization pass 2 of 2
white matter peak found at 111
white matter peak found at 110
gm peak at 61 (61), valley at 29 (29)
csf peak at 30, setting threshold to 50
building Voronoi diagram...
performing soap bubble smoothing, sigma = 8...
Done iterating ---------------------------------
writing output to T1.mgz
3D bias adjustment took 1 minutes and 39 seconds.
#--------------------------------------------
#@# Skull Stripping ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۴:۵۲:۰۷ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_em_register -skull nu.mgz /usr/local/freesurfer/average/RB_all_withskull_2008-03-26.gca transforms/talairach_with_skull.lta 



 ======= NUMBER OF OPENMP THREADS = 1 ======= 
aligning to atlas containing skull, setting unknown_nbr_spacing = 5
reading 1 input volumes...
logging results to talairach_with_skull.log
reading '/usr/local/freesurfer/average/RB_all_withskull_2008-03-26.gca'...
average std = 23.1   using min determinant for regularization = 53.4
0 singular and 5702 ill-conditioned covariance matrices regularized
reading 'nu.mgz'...
freeing gibbs priors...done.
bounding unknown intensity as < 20.2 or > 943.7 
total sample mean = 92.0 (1443 zeros)
************************************************
spacing=8, using 3481 sample points, tol=1.00e-05...
************************************************
register_mri: find_optimal_transform
find_optimal_transform: nsamples 3481, passno 0, spacing 8
resetting wm mean[0]: 117 --> 126
resetting gm mean[0]: 74 --> 74
input volume #1 is the most T1-like
using real data threshold=7.0
skull bounding box = (43, 30, 28) --> (215, 209, 212)
using (100, 90, 120) as brain centroid...
mean wm in atlas = 126, using box (79,68,97) --> (121, 112,142) to find MRI wm
before smoothing, mri peak at 107
after smoothing, mri peak at 107, scaling input intensities by 1.178
scaling channel 0 by 1.17757
initial log_p = -4.4
************************************************
First Search limited to translation only.
************************************************
max log p =    -4.339255 @ (0.000, 0.000, 0.000)
max log p =    -4.204378 @ (-4.545, 4.545, -4.545)
max log p =    -4.204378 @ (0.000, 0.000, 0.000)
max log p =    -4.166054 @ (-1.136, -3.409, -3.409)
max log p =    -4.148460 @ (0.568, -0.568, -5.114)
max log p =    -4.148460 @ (0.000, 0.000, 0.000)
Found translation: (-5.1, 0.6, -13.1): log p = -4.148
****************************************
Nine parameter search.  iteration 0 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.9, old_max_log_p =-4.1 (thresh=-4.1)
 1.000   0.000   0.000  -5.114;
 0.000   1.140  -0.150   9.051;
 0.000   0.150   1.140  -47.856;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 1 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.9, old_max_log_p =-3.9 (thresh=-3.9)
 1.000   0.000   0.000  -5.114;
 0.000   1.194  -0.320   23.270;
 0.000   0.298   1.111  -61.166;
 0.000   0.000   0.000   1.000;
reducing scale to 0.2500
****************************************
Nine parameter search.  iteration 2 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.8, old_max_log_p =-3.9 (thresh=-3.9)
 0.978  -0.048  -0.068   11.395;
 0.031   1.154  -0.165   3.342;
 0.064   0.136   1.119  -52.174;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 3 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.958  -0.084  -0.061   19.255;
 0.062   1.130  -0.164   0.066;
 0.065   0.139   1.140  -55.140;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 4 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.958  -0.084  -0.061   19.255;
 0.062   1.130  -0.164   0.066;
 0.065   0.139   1.140  -55.140;
 0.000   0.000   0.000   1.000;
reducing scale to 0.0625
****************************************
Nine parameter search.  iteration 5 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.959  -0.059  -0.084   18.355;
 0.039   1.132  -0.153   2.936;
 0.081   0.129   1.140  -56.411;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 6 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.959  -0.059  -0.084   18.355;
 0.039   1.132  -0.153   2.936;
 0.081   0.129   1.140  -56.411;
 0.000   0.000   0.000   1.000;
min search scale 0.025000 reached
***********************************************
Computing MAP estimate using 3481 samples...
***********************************************
dt = 5.00e-06, momentum=0.80, tol=1.00e-05
l_intensity = 1.0000
Aligning input volume to GCA...
Transform matrix
 0.95924  -0.05872  -0.08379   18.35540;
 0.03857   1.13167  -0.15265   2.93639;
 0.08072   0.12855   1.14032  -56.41076;
 0.00000   0.00000   0.00000   1.00000;
nsamples 3481
Quasinewton: input matrix
 0.95924  -0.05872  -0.08379   18.35540;
 0.03857   1.13167  -0.15265   2.93639;
 0.08072   0.12855   1.14032  -56.41076;
 0.00000   0.00000   0.00000   1.00000;
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 009: -log(p) =   -0.0  tol 0.000010
Resulting transform:
 0.959  -0.059  -0.084   18.355;
 0.039   1.132  -0.153   2.936;
 0.081   0.129   1.140  -56.411;
 0.000   0.000   0.000   1.000;

pass 1, spacing 8: log(p) = -3.8 (old=-4.4)
transform before final EM align:
 0.959  -0.059  -0.084   18.355;
 0.039   1.132  -0.153   2.936;
 0.081   0.129   1.140  -56.411;
 0.000   0.000   0.000   1.000;

**************************************************
 EM alignment process ...
 Computing final MAP estimate using 382743 samples. 
**************************************************
dt = 5.00e-06, momentum=0.80, tol=1.00e-07
l_intensity = 1.0000
Aligning input volume to GCA...
Transform matrix
 0.95924  -0.05872  -0.08379   18.35540;
 0.03857   1.13167  -0.15265   2.93639;
 0.08072   0.12855   1.14032  -56.41076;
 0.00000   0.00000   0.00000   1.00000;
nsamples 382743
Quasinewton: input matrix
 0.95924  -0.05872  -0.08379   18.35540;
 0.03857   1.13167  -0.15265   2.93639;
 0.08072   0.12855   1.14032  -56.41076;
 0.00000   0.00000   0.00000   1.00000;
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 6 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 011: -log(p) =    4.2  tol 0.000000
final transform:
 0.959  -0.059  -0.084   18.355;
 0.039   1.132  -0.153   2.936;
 0.081   0.129   1.140  -56.411;
 0.000   0.000   0.000   1.000;

writing output transformation to transforms/talairach_with_skull.lta...
registration took 26 minutes and 39 seconds.

 mri_watershed -T1 -brain_atlas /usr/local/freesurfer/average/RB_all_withskull_2008-03-26.gca transforms/talairach_with_skull.lta T1.mgz brainmask.auto.mgz 


Mode:          T1 normalized volume
Mode:          Use the information of atlas (default parms, --help for details)

*********************************************************
The input file is T1.mgz
The output file is brainmask.auto.mgz
Weighting the input with atlas information before watershed

*************************WATERSHED**************************
Sorting...
      first estimation of the COG coord: x=129 y=112 z=124 r=80
      first estimation of the main basin volume: 2149812 voxels
      Looking for seedpoints 
        2 found in the cerebellum 
        17 found in the rest of the brain 
      global maximum in x=164, y=110, z=90, Imax=255
      CSF=13, WM_intensity=110, WM_VARIANCE=5
      WM_MIN=110, WM_HALF_MIN=110, WM_HALF_MAX=110, WM_MAX=110 
      preflooding height equal to 10 percent
done.
Analyze...

      main basin size=21643836606 voxels, voxel volume =1.000 
                     = 21643836606 mmm3 = 21643837.440 cm3
done.
PostAnalyze...Basin Prior
 32 basins merged thanks to atlas 
      ***** 0 basin(s) merged in 1 iteration(s)
      ***** 0 voxel(s) added to the main basin
done.
Weighting the input with prior template 

****************TEMPLATE DEFORMATION****************

      second estimation of the COG coord: x=129,y=114, z=117, r=8947 iterations
^^^^^^^^ couldn't find WM with original limits - expanding ^^^^^^

   GLOBAL      CSF_MIN=0, CSF_intensity=9, CSF_MAX=38 , nb = 44252
  RIGHT_CER    CSF_MIN=0, CSF_intensity=9, CSF_MAX=28 , nb = -1060241824
  LEFT_CER     CSF_MIN=0, CSF_intensity=9, CSF_MAX=28 , nb = 1084206437
 RIGHT_BRAIN   CSF_MIN=0, CSF_intensity=9, CSF_MAX=38 , nb = 1094296038
 LEFT_BRAIN    CSF_MIN=0, CSF_intensity=9, CSF_MAX=39 , nb = 1074063844
    OTHER      CSF_MIN=0, CSF_intensity=14, CSF_MAX=35 , nb = 1075413804
 Problem with the least square interpolation in GM_MIN calculation.
 (2) Problem with the least square interpolation in GM_MIN calculation.
   
                     CSF_MAX  TRANSITION  GM_MIN  GM
    GLOBAL     
  before analyzing :    38,      39,        41,   57
  after  analyzing :    38,      40,        41,   44
   RIGHT_CER   
  before analyzing :    28,      35,        42,   60
  after  analyzing :    28,      39,        42,   44
   LEFT_CER    
  before analyzing :    28,      35,        42,   60
  after  analyzing :    28,      39,        42,   44
  RIGHT_BRAIN  
  before analyzing :    38,      39,        41,   57
  after  analyzing :    38,      40,        41,   44
  LEFT_BRAIN   
  before analyzing :    39,      40,        41,   57
  after  analyzing :    39,      40,        41,   44
     OTHER     
  before analyzing :    35,      34,        33,   58
  after  analyzing :    25,      34,        34,   40
      mri_strip_skull: done peeling brain
      highly tesselated surface with 10242 vertices
      matching...60 iterations

*********************VALIDATION*********************
curvature mean = -0.013, std = 0.010
curvature mean = 71.984, std = 6.328

No Rigid alignment: -atlas Mode Off (basic atlas / no registration)
      before rotation: sse = 9.60, sigma = 15.92
      after  rotation: sse = 9.60, sigma = 15.92
Localization of inacurate regions: Erosion-Dilation steps
      the sse mean is 11.10, its var is 15.24   
      before Erosion-Dilatation 13.55% of inacurate vertices
      after  Erosion-Dilatation 19.29% of inacurate vertices
      Validation of the shape of the surface done.
Scaling of atlas fields onto current surface fields

********FINAL ITERATIVE TEMPLATE DEFORMATION********
Compute Local values csf/gray
Fine Segmentation...43 iterations

      mri_strip_skull: done peeling brain

Brain Size = 1834249 voxels, voxel volume = 1.000 mm3
           = 1834249 mmm3 = 1834.249 cm3


******************************
Saving brainmask.auto.mgz
done

 cp brainmask.auto.mgz brainmask.mgz 

#-------------------------------------
#@# EM Registration ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۵:۱۹:۲۱ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_em_register -uns 3 -mask brainmask.mgz nu.mgz /usr/local/freesurfer/average/RB_all_2008-03-26.gca transforms/talairach.lta 



 ======= NUMBER OF OPENMP THREADS = 1 ======= 
aligning to atlas containing skull, setting unknown_nbr_spacing = 3
using MR volume brainmask.mgz to mask input volume...
reading 1 input volumes...
logging results to talairach.log
reading '/usr/local/freesurfer/average/RB_all_2008-03-26.gca'...
average std = 6.9   using min determinant for regularization = 4.7
0 singular and 1812 ill-conditioned covariance matrices regularized
reading 'nu.mgz'...
freeing gibbs priors...done.
bounding unknown intensity as < 14.9 or > 790.2 
total sample mean = 84.4 (994 zeros)
************************************************
spacing=8, using 2772 sample points, tol=1.00e-05...
************************************************
register_mri: find_optimal_transform
find_optimal_transform: nsamples 2772, passno 0, spacing 8
resetting wm mean[0]: 102 --> 107
resetting gm mean[0]: 64 --> 64
input volume #1 is the most T1-like
using real data threshold=26.9
skull bounding box = (54, 47, 43) --> (202, 158, 202)
using (103, 84, 123) as brain centroid...
mean wm in atlas = 107, using box (85,70,103) --> (121, 97,142) to find MRI wm
before smoothing, mri peak at 105
after smoothing, mri peak at 106, scaling input intensities by 1.009
scaling channel 0 by 1.00943
initial log_p = -4.2
************************************************
First Search limited to translation only.
************************************************
max log p =    -3.822523 @ (-9.091, 9.091, -9.091)
max log p =    -3.702406 @ (4.545, -4.545, -4.545)
max log p =    -3.702406 @ (0.000, 0.000, 0.000)
max log p =    -3.702110 @ (-1.136, 1.136, 5.682)
max log p =    -3.685815 @ (-0.568, 1.705, -0.568)
max log p =    -3.670552 @ (-0.852, -2.557, 0.284)
Found translation: (-7.1, 4.8, -8.2): log p = -3.671
****************************************
Nine parameter search.  iteration 0 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.5, old_max_log_p =-3.7 (thresh=-3.7)
 0.925   0.000   0.000   2.941;
 0.000   1.066  -0.140   13.261;
 0.000   0.140   1.066  -39.212;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 1 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.5, old_max_log_p =-3.5 (thresh=-3.5)
 0.994   0.000   0.000  -6.349;
 0.000   1.066  -0.140   13.261;
 0.000   0.130   0.986  -28.372;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 2 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.5, old_max_log_p =-3.5 (thresh=-3.5)
 0.994   0.000   0.000  -6.349;
 0.000   1.066  -0.140   13.261;
 0.000   0.130   0.986  -28.372;
 0.000   0.000   0.000   1.000;
reducing scale to 0.2500
****************************************
Nine parameter search.  iteration 3 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.3, old_max_log_p =-3.5 (thresh=-3.5)
 0.952  -0.048  -0.092   19.525;
 0.033   1.088  -0.113   3.293;
 0.099   0.098   1.022  -38.424;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 4 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.3, old_max_log_p =-3.3 (thresh=-3.3)
 0.952  -0.048  -0.092   19.525;
 0.029   1.084  -0.146   9.933;
 0.100   0.133   1.018  -42.128;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 5 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.3, old_max_log_p =-3.3 (thresh=-3.3)
 0.952  -0.048  -0.092   19.525;
 0.029   1.084  -0.146   9.933;
 0.100   0.133   1.018  -42.128;
 0.000   0.000   0.000   1.000;
reducing scale to 0.0625
****************************************
Nine parameter search.  iteration 6 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.3, old_max_log_p =-3.3 (thresh=-3.3)
 0.954  -0.063  -0.065   16.748;
 0.047   1.081  -0.130   5.216;
 0.076   0.117   1.026  -39.098;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 7 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.3, old_max_log_p =-3.3 (thresh=-3.3)
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.076   0.117   1.026  -39.098;
 0.000   0.000   0.000   1.000;
min search scale 0.025000 reached
***********************************************
Computing MAP estimate using 2772 samples...
***********************************************
dt = 5.00e-06, momentum=0.80, tol=1.00e-05
l_intensity = 1.0000
Aligning input volume to GCA...
Transform matrix
 0.95548  -0.06273  -0.06479   16.61881;
 0.04650   1.08010  -0.13032   5.34967;
 0.07606   0.11728   1.02583  -39.09846;
 0.00000   0.00000   0.00000   1.00000;
nsamples 2772
Quasinewton: input matrix
 0.95548  -0.06273  -0.06479   16.61881;
 0.04650   1.08010  -0.13032   5.34967;
 0.07606   0.11728   1.02583  -39.09846;
 0.00000   0.00000   0.00000   1.00000;
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 010: -log(p) =   -0.0  tol 0.000010
Resulting transform:
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.076   0.117   1.026  -39.098;
 0.000   0.000   0.000   1.000;

pass 1, spacing 8: log(p) = -3.3 (old=-4.2)
transform before final EM align:
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.076   0.117   1.026  -39.098;
 0.000   0.000   0.000   1.000;

**************************************************
 EM alignment process ...
 Computing final MAP estimate using 312841 samples. 
**************************************************
dt = 5.00e-06, momentum=0.80, tol=1.00e-07
l_intensity = 1.0000
Aligning input volume to GCA...
Transform matrix
 0.95548  -0.06273  -0.06479   16.61881;
 0.04650   1.08010  -0.13032   5.34967;
 0.07606   0.11728   1.02583  -39.09846;
 0.00000   0.00000   0.00000   1.00000;
nsamples 312841
Quasinewton: input matrix
 0.95548  -0.06273  -0.06479   16.61881;
 0.04650   1.08010  -0.13032   5.34967;
 0.07606   0.11728   1.02583  -39.09846;
 0.00000   0.00000   0.00000   1.00000;
dfp_em_step_func: 011: -log(p) = 3.7
after pass:transform: ( 0.96, -0.06, -0.06, 16.62)
                      ( 0.05, 1.08, -0.13, 5.35)
                      ( 0.08, 0.12, 1.03, -39.10)
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESpass 2 through quasi-newton minimization...
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 013: -log(p) =    3.7  tol 0.000000
final transform:
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.076   0.117   1.026  -39.098;
 0.000   0.000   0.000   1.000;

writing output transformation to transforms/talairach.lta...
registration took 21 minutes and 13 seconds.
#--------------------------------------
#@# CA Normalize ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۵:۴۰:۳۵ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_ca_normalize -c ctrl_pts.mgz -mask brainmask.mgz nu.mgz /usr/local/freesurfer/average/RB_all_2008-03-26.gca transforms/talairach.lta norm.mgz 

writing control point volume to ctrl_pts.mgz
using MR volume brainmask.mgz to mask input volume...
reading 1 input volume
reading atlas from '/usr/local/freesurfer/average/RB_all_2008-03-26.gca'...
reading transform from 'transforms/talairach.lta'...
reading input volume from nu.mgz...
resetting wm mean[0]: 102 --> 107
resetting gm mean[0]: 64 --> 64
input volume #1 is the most T1-like
using real data threshold=26.9
skull bounding box = (54, 47, 43) --> (202, 158, 202)
using (103, 84, 123) as brain centroid...
mean wm in atlas = 107, using box (85,70,103) --> (121, 97,142) to find MRI wm
before smoothing, mri peak at 105
after smoothing, mri peak at 106, scaling input intensities by 1.009
scaling channel 0 by 1.00943
using 244171 sample points...
INFO: compute sample coordinates transform
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.076   0.117   1.026  -39.098;
 0.000   0.000   0.000   1.000;
INFO: transform used
finding control points in Left_Cerebral_White_Matter....
found 41584 control points for structure...
bounding box (123, 50, 39) --> (199, 162, 202)
Left_Cerebral_White_Matter: limiting intensities to 94.0 --> 183.0
0 of 54 (0.0%) samples deleted
finding control points in Right_Cerebral_White_Matter....
found 40735 control points for structure...
bounding box (61, 52, 43) --> (134, 165, 204)
Right_Cerebral_White_Matter: limiting intensities to 97.0 --> 183.0
0 of 62 (0.0%) samples deleted
finding control points in Left_Cerebellum_White_Matter....
found 3012 control points for structure...
bounding box (130, 124, 57) --> (182, 164, 110)
Left_Cerebellum_White_Matter: limiting intensities to 93.0 --> 183.0
0 of 15 (0.0%) samples deleted
finding control points in Right_Cerebellum_White_Matter....
found 2764 control points for structure...
bounding box (82, 124, 57) --> (130, 167, 112)
Right_Cerebellum_White_Matter: limiting intensities to 95.0 --> 183.0
0 of 18 (0.0%) samples deleted
finding control points in Brain_Stem....
found 3520 control points for structure...
bounding box (114, 123, 88) --> (149, 184, 123)
Brain_Stem: limiting intensities to 95.0 --> 183.0
0 of 10 (0.0%) samples deleted
using 159 total control points for intensity normalization...
bias field = 0.971 +- 0.084
0 of 159 control points discarded
finding control points in Left_Cerebral_White_Matter....
found 41584 control points for structure...
bounding box (123, 50, 39) --> (199, 162, 202)
Left_Cerebral_White_Matter: limiting intensities to 92.0 --> 170.0
0 of 104 (0.0%) samples deleted
finding control points in Right_Cerebral_White_Matter....
found 40735 control points for structure...
bounding box (61, 52, 43) --> (134, 165, 204)
Right_Cerebral_White_Matter: limiting intensities to 89.0 --> 170.0
0 of 112 (0.0%) samples deleted
finding control points in Left_Cerebellum_White_Matter....
found 3012 control points for structure...
bounding box (130, 124, 57) --> (182, 164, 110)
Left_Cerebellum_White_Matter: limiting intensities to 85.0 --> 170.0
0 of 41 (0.0%) samples deleted
finding control points in Right_Cerebellum_White_Matter....
found 2764 control points for structure...
bounding box (82, 124, 57) --> (130, 167, 112)
Right_Cerebellum_White_Matter: limiting intensities to 86.0 --> 170.0
0 of 57 (0.0%) samples deleted
finding control points in Brain_Stem....
found 3520 control points for structure...
bounding box (114, 123, 88) --> (149, 184, 123)
Brain_Stem: limiting intensities to 83.0 --> 170.0
0 of 68 (0.0%) samples deleted
using 382 total control points for intensity normalization...
bias field = 0.969 +- 0.062
0 of 382 control points discarded
finding control points in Left_Cerebral_White_Matter....
found 41584 control points for structure...
bounding box (123, 50, 39) --> (199, 162, 202)
Left_Cerebral_White_Matter: limiting intensities to 104.0 --> 164.0
42 of 183 (23.0%) samples deleted
finding control points in Right_Cerebral_White_Matter....
found 40735 control points for structure...
bounding box (61, 52, 43) --> (134, 165, 204)
Right_Cerebral_White_Matter: limiting intensities to 86.0 --> 164.0
2 of 183 (1.1%) samples deleted
finding control points in Left_Cerebellum_White_Matter....
found 3012 control points for structure...
bounding box (130, 124, 57) --> (182, 164, 110)
Left_Cerebellum_White_Matter: limiting intensities to 82.0 --> 164.0
0 of 75 (0.0%) samples deleted
finding control points in Right_Cerebellum_White_Matter....
found 2764 control points for structure...
bounding box (82, 124, 57) --> (130, 167, 112)
Right_Cerebellum_White_Matter: limiting intensities to 79.0 --> 164.0
0 of 92 (0.0%) samples deleted
finding control points in Brain_Stem....
found 3520 control points for structure...
bounding box (114, 123, 88) --> (149, 184, 123)
Brain_Stem: limiting intensities to 76.0 --> 164.0
0 of 97 (0.0%) samples deleted
using 630 total control points for intensity normalization...
bias field = 0.990 +- 0.047
3 of 586 control points discarded
writing normalized volume to norm.mgz...
writing control points to ctrl_pts.mgz
freeing GCA...done.
normalization took 1 minutes and 16 seconds.
#--------------------------------------
#@# CA Reg ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۵:۴۱:۵۲ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_ca_register -nobigventricles -T transforms/talairach.lta -align-after -mask brainmask.mgz norm.mgz /usr/local/freesurfer/average/RB_all_2008-03-26.gca transforms/talairach.m3z 

not handling expanded ventricles...
using previously computed transform transforms/talairach.lta
renormalizing sequences with structure alignment, equivalent to:
	-renormalize
	-regularize_mean 0.500
	-regularize 0.500
using MR volume brainmask.mgz to mask input volume...
reading 1 input volumes...
logging results to talairach.log


 ======= NUMBER OF OPENMP THREADS = 1 ======= 
reading input volume 'norm.mgz'...
reading GCA '/usr/local/freesurfer/average/RB_all_2008-03-26.gca'...
label assignment complete, 0 changed (0.00%)
det(m_affine) = 1.08 (predicted orig area = 7.4)
label assignment complete, 0 changed (0.00%)
freeing gibbs priors...done.
average std[0] = 5.0
**************** pass 1 of 1 ************************
setting smoothness coefficient to 0.039
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.816, neg=0, invalid=96777
0001: dt=129.472000, rms=0.735 (9.892%), neg=0, invalid=96777
0002: dt=221.952000, rms=0.699 (4.976%), neg=0, invalid=96777
0003: dt=129.472000, rms=0.695 (0.505%), neg=0, invalid=96777
0004: dt=295.936000, rms=0.683 (1.754%), neg=0, invalid=96777
0005: dt=73.984000, rms=0.681 (0.344%), neg=0, invalid=96777
0006: dt=517.888000, rms=0.676 (0.676%), neg=0, invalid=96777
0007: dt=129.472000, rms=0.669 (1.005%), neg=0, invalid=96777
0008: dt=55.488000, rms=0.669 (0.046%), neg=0, invalid=96777
0009: dt=55.488000, rms=0.669 (0.058%), neg=0, invalid=96777
0010: dt=55.488000, rms=0.668 (0.112%), neg=0, invalid=96777
0011: dt=55.488000, rms=0.667 (0.206%), neg=0, invalid=96777
0012: dt=55.488000, rms=0.665 (0.282%), neg=0, invalid=96777
0013: dt=55.488000, rms=0.662 (0.335%), neg=0, invalid=96777
0014: dt=55.488000, rms=0.660 (0.318%), neg=0, invalid=96777
0015: dt=55.488000, rms=0.658 (0.311%), neg=0, invalid=96777
0016: dt=55.488000, rms=0.656 (0.284%), neg=0, invalid=96777
0017: dt=55.488000, rms=0.655 (0.253%), neg=0, invalid=96777
0018: dt=55.488000, rms=0.653 (0.252%), neg=0, invalid=96777
0019: dt=55.488000, rms=0.651 (0.251%), neg=0, invalid=96777
0020: dt=55.488000, rms=0.650 (0.257%), neg=0, invalid=96777
0021: dt=55.488000, rms=0.648 (0.222%), neg=0, invalid=96777
0022: dt=55.488000, rms=0.647 (0.180%), neg=0, invalid=96777
0023: dt=55.488000, rms=0.646 (0.164%), neg=0, invalid=96777
0024: dt=55.488000, rms=0.645 (0.162%), neg=0, invalid=96777
0025: dt=55.488000, rms=0.644 (0.162%), neg=0, invalid=96777
0026: dt=55.488000, rms=0.643 (0.142%), neg=0, invalid=96777
0027: dt=55.488000, rms=0.642 (0.119%), neg=0, invalid=96777
0028: dt=55.488000, rms=0.642 (0.120%), neg=0, invalid=96777
0029: dt=55.488000, rms=0.641 (0.123%), neg=0, invalid=96777
0030: dt=55.488000, rms=0.640 (0.099%), neg=0, invalid=96777
0031: dt=32.368000, rms=0.640 (0.004%), neg=0, invalid=96777
0032: dt=32.368000, rms=0.640 (0.018%), neg=0, invalid=96777
0033: dt=32.368000, rms=0.640 (0.042%), neg=0, invalid=96777
0034: dt=32.368000, rms=0.640 (0.027%), neg=0, invalid=96777
0035: dt=32.368000, rms=0.639 (0.031%), neg=0, invalid=96777
0036: dt=32.368000, rms=0.639 (0.016%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.639, neg=0, invalid=96777
0037: dt=129.472000, rms=0.639 (0.052%), neg=0, invalid=96777
0038: dt=517.888000, rms=0.638 (0.135%), neg=0, invalid=96777
0039: dt=110.976000, rms=0.638 (0.018%), neg=0, invalid=96777
0040: dt=110.976000, rms=0.638 (0.036%), neg=0, invalid=96777
0041: dt=110.976000, rms=0.638 (0.013%), neg=0, invalid=96777
0042: dt=110.976000, rms=0.638 (0.017%), neg=0, invalid=96777
0043: dt=110.976000, rms=0.638 (0.001%), neg=0, invalid=96777
setting smoothness coefficient to 0.154
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.643, neg=0, invalid=96777
0044: dt=145.152000, rms=0.629 (2.176%), neg=0, invalid=96777
0045: dt=20.736000, rms=0.628 (0.106%), neg=0, invalid=96777
0046: dt=20.736000, rms=0.626 (0.286%), neg=0, invalid=96777
0047: dt=20.736000, rms=0.624 (0.421%), neg=0, invalid=96777
0048: dt=20.736000, rms=0.620 (0.541%), neg=0, invalid=96777
0049: dt=20.736000, rms=0.616 (0.635%), neg=0, invalid=96777
0050: dt=20.736000, rms=0.612 (0.660%), neg=0, invalid=96777
0051: dt=20.736000, rms=0.608 (0.657%), neg=0, invalid=96777
0052: dt=20.736000, rms=0.604 (0.613%), neg=0, invalid=96777
0053: dt=20.736000, rms=0.601 (0.554%), neg=0, invalid=96777
0054: dt=20.736000, rms=0.598 (0.529%), neg=0, invalid=96777
0055: dt=20.736000, rms=0.595 (0.473%), neg=0, invalid=96777
0056: dt=20.736000, rms=0.593 (0.426%), neg=0, invalid=96777
0057: dt=20.736000, rms=0.590 (0.392%), neg=0, invalid=96777
0058: dt=20.736000, rms=0.588 (0.381%), neg=0, invalid=96777
0059: dt=20.736000, rms=0.586 (0.331%), neg=0, invalid=96777
0060: dt=20.736000, rms=0.584 (0.304%), neg=0, invalid=96777
0061: dt=20.736000, rms=0.583 (0.257%), neg=0, invalid=96777
0062: dt=20.736000, rms=0.581 (0.238%), neg=0, invalid=96777
0063: dt=20.736000, rms=0.580 (0.202%), neg=0, invalid=96777
0064: dt=20.736000, rms=0.579 (0.160%), neg=0, invalid=96777
0065: dt=20.736000, rms=0.578 (0.148%), neg=0, invalid=96777
0066: dt=20.736000, rms=0.578 (0.136%), neg=0, invalid=96777
0067: dt=20.736000, rms=0.577 (0.128%), neg=0, invalid=96777
0068: dt=20.736000, rms=0.576 (0.123%), neg=0, invalid=96777
0069: dt=20.736000, rms=0.576 (0.108%), neg=0, invalid=96777
0070: dt=103.680000, rms=0.575 (0.045%), neg=0, invalid=96777
0071: dt=103.680000, rms=0.575 (0.015%), neg=0, invalid=96777
0072: dt=103.680000, rms=0.574 (0.157%), neg=0, invalid=96777
0073: dt=103.680000, rms=0.574 (-0.145%), neg=0, invalid=96777
0074: dt=15.552000, rms=0.574 (0.009%), neg=0, invalid=96777
0075: dt=31.104000, rms=0.574 (0.014%), neg=0, invalid=96777
0076: dt=124.416000, rms=0.574 (0.038%), neg=0, invalid=96777
0077: dt=20.736000, rms=0.574 (0.011%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.574, neg=0, invalid=96777
0078: dt=36.288000, rms=0.574 (0.038%), neg=0, invalid=96777
0079: dt=36.288000, rms=0.574 (0.021%), neg=0, invalid=96777
0080: dt=36.288000, rms=0.574 (-0.008%), neg=0, invalid=96777
setting smoothness coefficient to 0.588
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.600, neg=0, invalid=96777
0081: dt=6.978723, rms=0.600 (0.083%), neg=0, invalid=96777
0082: dt=2.800000, rms=0.600 (0.006%), neg=0, invalid=96777
0083: dt=2.800000, rms=0.600 (-0.005%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.600, neg=0, invalid=96777
0084: dt=0.000000, rms=0.600 (0.000%), neg=0, invalid=96777
setting smoothness coefficient to 2.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.670, neg=0, invalid=96777
0085: dt=5.831579, rms=0.651 (2.789%), neg=0, invalid=96777
0086: dt=3.456000, rms=0.650 (0.152%), neg=0, invalid=96777
0087: dt=3.456000, rms=0.650 (0.009%), neg=0, invalid=96777
0088: dt=3.456000, rms=0.650 (-0.335%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.650, neg=0, invalid=96777
0089: dt=0.000000, rms=0.650 (0.000%), neg=0, invalid=96777
setting smoothness coefficient to 5.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.709, neg=0, invalid=96777
0090: dt=0.448000, rms=0.708 (0.076%), neg=0, invalid=96777
0091: dt=0.573529, rms=0.707 (0.097%), neg=0, invalid=96777
0092: dt=1.397849, rms=0.706 (0.200%), neg=0, invalid=96777
0093: dt=2.400000, rms=0.704 (0.341%), neg=0, invalid=96777
0094: dt=0.500000, rms=0.703 (0.054%), neg=0, invalid=96777
0095: dt=0.500000, rms=0.703 (0.018%), neg=0, invalid=96777
0096: dt=0.500000, rms=0.703 (0.042%), neg=0, invalid=96777
0097: dt=0.500000, rms=0.703 (0.042%), neg=0, invalid=96777
0098: dt=0.500000, rms=0.703 (0.012%), neg=0, invalid=96777
0099: dt=1.792000, rms=0.702 (0.050%), neg=0, invalid=96777
0100: dt=0.448000, rms=0.702 (0.005%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.702, neg=0, invalid=96777
0101: dt=1.024000, rms=0.701 (0.090%), neg=0, invalid=96777
0102: dt=0.000000, rms=0.701 (-0.000%), neg=0, invalid=96777
resetting metric properties...
setting smoothness coefficient to 10.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.665, neg=0, invalid=96777
0103: dt=0.320000, rms=0.654 (1.665%), neg=0, invalid=96777
0104: dt=0.000000, rms=0.654 (0.007%), neg=0, invalid=96777
0105: dt=0.050000, rms=0.654 (-0.193%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.654, neg=0, invalid=96777
0106: dt=0.000000, rms=0.654 (0.000%), neg=0, invalid=96777
renormalizing by structure alignment....
renormalizing input #0
gca peak = 0.11725 (24)
mri peak = 0.11809 (12)
Left_Lateral_Ventricle (4): linear fit = 0.40 x + 0.0 (1456 voxels, overlap=0.201)
Left_Lateral_Ventricle (4): linear fit = 0.40 x + 0.0 (1456 voxels, peak =  9), gca=9.6
gca peak = 0.14022 (22)
mri peak = 0.13629 (12)
Right_Lateral_Ventricle (43): linear fit = 0.50 x + 0.0 (1305 voxels, overlap=0.007)
Right_Lateral_Ventricle (43): linear fit = 0.50 x + 0.0 (1305 voxels, peak = 11), gca=10.9
gca peak = 0.24234 (100)
mri peak = 0.06021 (92)
Right_Pallidum (52): linear fit = 0.93 x + 0.0 (486 voxels, overlap=0.686)
Right_Pallidum (52): linear fit = 0.93 x + 0.0 (486 voxels, peak = 92), gca=92.5
gca peak = 0.19192 (97)
mri peak = 0.12041 (75)
Left_Pallidum (13): linear fit = 0.77 x + 0.0 (521 voxels, overlap=0.034)
Left_Pallidum (13): linear fit = 0.77 x + 0.0 (521 voxels, peak = 75), gca=75.2
gca peak = 0.24007 (63)
mri peak = 0.07762 (63)
Right_Hippocampus (53): linear fit = 0.95 x + 0.0 (864 voxels, overlap=0.961)
Right_Hippocampus (53): linear fit = 0.95 x + 0.0 (864 voxels, peak = 60), gca=60.2
gca peak = 0.29892 (64)
mri peak = 0.10201 (61)
Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (1058 voxels, overlap=0.928)
Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (1058 voxels, peak = 60), gca=59.8
gca peak = 0.12541 (104)
mri peak = 0.07097 (109)
Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (78756 voxels, overlap=0.760)
Right_Cerebral_White_Matter (41): linear fit = 1.04 x + 0.0 (78756 voxels, peak = 109), gca=108.7
gca peak = 0.13686 (104)
mri peak = 0.07830 (107)
Left_Cerebral_White_Matter (2): linear fit = 1.02 x + 0.0 (80678 voxels, overlap=0.824)
Left_Cerebral_White_Matter (2): linear fit = 1.02 x + 0.0 (80678 voxels, peak = 107), gca=106.6
gca peak = 0.11691 (63)
mri peak = 0.04888 (58)
Left_Cerebral_Cortex (3): linear fit = 0.88 x + 0.0 (37044 voxels, overlap=0.611)
Left_Cerebral_Cortex (3): linear fit = 0.88 x + 0.0 (37044 voxels, peak = 56), gca=55.8
gca peak = 0.13270 (63)
mri peak = 0.04848 (56)
Right_Cerebral_Cortex (42): linear fit = 0.90 x + 0.0 (39252 voxels, overlap=0.839)
Right_Cerebral_Cortex (42): linear fit = 0.90 x + 0.0 (39252 voxels, peak = 57), gca=57.0
gca peak = 0.15182 (70)
mri peak = 0.12069 (71)
Right_Caudate (50): linear fit = 0.99 x + 0.0 (454 voxels, overlap=0.934)
Right_Caudate (50): linear fit = 0.99 x + 0.0 (454 voxels, peak = 69), gca=69.0
gca peak = 0.14251 (76)
mri peak = 0.08579 (77)
Left_Caudate (11): linear fit = 0.94 x + 0.0 (783 voxels, overlap=0.839)
Left_Caudate (11): linear fit = 0.94 x + 0.0 (783 voxels, peak = 72), gca=71.8
gca peak = 0.12116 (60)
mri peak = 0.04373 (59)
Left_Cerebellum_Cortex (8): linear fit = 1.02 x + 0.0 (25632 voxels, overlap=0.967)
Left_Cerebellum_Cortex (8): linear fit = 1.02 x + 0.0 (25632 voxels, peak = 62), gca=61.5
gca peak = 0.12723 (61)
mri peak = 0.04511 (63)
Right_Cerebellum_Cortex (47): linear fit = 1.02 x + 0.0 (25937 voxels, overlap=0.959)
Right_Cerebellum_Cortex (47): linear fit = 1.02 x + 0.0 (25937 voxels, peak = 63), gca=62.5
gca peak = 0.22684 (88)
mri peak = 0.08361 (91)
Left_Cerebellum_White_Matter (7): linear fit = 1.04 x + 0.0 (8392 voxels, overlap=0.582)
Left_Cerebellum_White_Matter (7): linear fit = 1.04 x + 0.0 (8392 voxels, peak = 92), gca=92.0
gca peak = 0.21067 (87)
mri peak = 0.08201 (89)
Right_Cerebellum_White_Matter (46): linear fit = 1.04 x + 0.0 (7394 voxels, overlap=0.731)
Right_Cerebellum_White_Matter (46): linear fit = 1.04 x + 0.0 (7394 voxels, peak = 91), gca=90.9
gca peak = 0.25455 (62)
mri peak = 0.07517 (63)
Left_Amygdala (18): linear fit = 0.99 x + 0.0 (372 voxels, overlap=1.005)
Left_Amygdala (18): linear fit = 0.99 x + 0.0 (372 voxels, peak = 61), gca=61.1
gca peak = 0.39668 (62)
mri peak = 0.12163 (57)
Right_Amygdala (54): linear fit = 0.90 x + 0.0 (178 voxels, overlap=0.433)
Right_Amygdala (54): linear fit = 0.90 x + 0.0 (178 voxels, peak = 56), gca=56.1
gca peak = 0.10129 (93)
mri peak = 0.05138 (106)
Left_Thalamus_Proper (10): linear fit = 1.12 x + 0.0 (6316 voxels, overlap=0.614)
Left_Thalamus_Proper (10): linear fit = 1.12 x + 0.0 (6316 voxels, peak = 105), gca=104.6
gca peak = 0.12071 (89)
mri peak = 0.04941 (93)
Right_Thalamus_Proper (49): linear fit = 1.10 x + 0.0 (4982 voxels, overlap=0.672)
Right_Thalamus_Proper (49): linear fit = 1.10 x + 0.0 (4982 voxels, peak = 97), gca=97.5
gca peak = 0.13716 (82)
mri peak = 0.05671 (82)
Left_Putamen (12): linear fit = 0.99 x + 0.0 (2833 voxels, overlap=0.999)
Left_Putamen (12): linear fit = 0.99 x + 0.0 (2833 voxels, peak = 81), gca=80.8
gca peak = 0.15214 (84)
mri peak = 0.06010 (81)
Right_Putamen (51): linear fit = 0.99 x + 0.0 (2885 voxels, overlap=0.982)
Right_Putamen (51): linear fit = 0.99 x + 0.0 (2885 voxels, peak = 83), gca=82.7
gca peak = 0.08983 (85)
mri peak = 0.06198 (92)
Brain_Stem (16): linear fit = 1.09 x + 0.0 (12090 voxels, overlap=0.592)
Brain_Stem (16): linear fit = 1.09 x + 0.0 (12090 voxels, peak = 92), gca=92.2
gca peak = 0.11809 (92)
mri peak = 0.05231 (91)
Right_VentralDC (60): linear fit = 1.08 x + 0.0 (862 voxels, overlap=0.811)
Right_VentralDC (60): linear fit = 1.08 x + 0.0 (862 voxels, peak = 99), gca=98.9
gca peak = 0.12914 (94)
mri peak = 0.06376 (106)
Left_VentralDC (28): linear fit = 1.12 x + 0.0 (1062 voxels, overlap=0.528)
Left_VentralDC (28): linear fit = 1.12 x + 0.0 (1062 voxels, peak = 106), gca=105.8
gca peak = 0.21100 (36)
mri peak = 0.11255 (52)
Third_Ventricle (14): linear fit = 1.40 x + 0.0 (101 voxels, overlap=0.076)
Third_Ventricle (14): linear fit = 1.40 x + 0.0 (101 voxels, peak = 51), gca=50.6
gca peak = 0.13542 (27)
mri peak = 0.13274 (15)
Fourth_Ventricle (15): linear fit = 0.41 x + 0.0 (627 voxels, overlap=0.031)
Fourth_Ventricle (15): linear fit = 0.41 x + 0.0 (627 voxels, peak = 11), gca=10.9
gca peak Unknown = 0.94427 ( 0)
gca peak Left_Inf_Lat_Vent = 0.21802 (40)
gca peak Fourth_Ventricle = 0.13542 (27)
gca peak CSF = 0.17123 (45)
gca peak Left_Accumbens_area = 0.25875 (69)
gca peak Left_undetermined = 0.96240 (36)
gca peak Left_vessel = 0.33262 (65)
gca peak Left_choroid_plexus = 0.09846 (46)
gca peak Right_Inf_Lat_Vent = 0.28113 (34)
gca peak Right_Accumbens_area = 0.27120 (72)
gca peak Right_vessel = 0.61915 (60)
gca peak Right_choroid_plexus = 0.12775 (51)
gca peak Fifth_Ventricle = 0.45329 (44)
gca peak WM_hypointensities = 0.11729 (81)
gca peak non_WM_hypointensities = 0.10912 (56)
gca peak Optic_Chiasm = 0.33287 (75)
label assignment complete, 0 changed (0.00%)
not using caudate to estimate GM means
estimating mean gm scale to be 0.93 x + 0.0
estimating mean wm scale to be 1.03 x + 0.0
estimating mean csf scale to be 0.77 x + 0.0
saving intensity scales to talairach.label_intensities.txt
**************** pass 1 of 1 ************************
setting smoothness coefficient to 0.008
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.696, neg=0, invalid=96777
0107: dt=8.092000, rms=0.695 (0.148%), neg=0, invalid=96777
0108: dt=8.092000, rms=0.694 (0.136%), neg=0, invalid=96777
0109: dt=4.000000, rms=0.694 (0.066%), neg=0, invalid=96777
0110: dt=0.031609, rms=0.694 (-0.001%), neg=0, invalid=96777
0111: dt=0.031609, rms=0.694 (0.000%), neg=0, invalid=96777
0112: dt=0.000988, rms=0.694 (0.000%), neg=0, invalid=96777
0113: dt=0.000247, rms=0.694 (0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.694, neg=0, invalid=96777
0114: dt=0.000000, rms=0.694 (0.000%), neg=0, invalid=96777
setting smoothness coefficient to 0.031
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.694, neg=0, invalid=96777
0115: dt=82.944000, rms=0.665 (4.180%), neg=0, invalid=96777
0116: dt=36.288000, rms=0.654 (1.601%), neg=0, invalid=96777
0117: dt=145.152000, rms=0.639 (2.243%), neg=0, invalid=96777
0118: dt=36.288000, rms=0.633 (0.898%), neg=0, invalid=96777
0119: dt=31.104000, rms=0.632 (0.276%), neg=0, invalid=96777
0120: dt=145.152000, rms=0.625 (1.034%), neg=0, invalid=96777
0121: dt=9.072000, rms=0.623 (0.310%), neg=0, invalid=96777
0122: dt=9.072000, rms=0.622 (0.196%), neg=0, invalid=96777
0123: dt=2.268000, rms=0.622 (0.043%), neg=0, invalid=96777
0124: dt=0.283500, rms=0.622 (0.008%), neg=0, invalid=96777
0125: dt=0.141750, rms=0.622 (0.001%), neg=0, invalid=96777
0126: dt=0.070875, rms=0.622 (-0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.622, neg=0, invalid=96777
0127: dt=0.035437, rms=0.622 (0.000%), neg=0, invalid=96777
0128: dt=0.035437, rms=0.622 (0.001%), neg=0, invalid=96777
0129: dt=0.008859, rms=0.622 (-0.000%), neg=0, invalid=96777
setting smoothness coefficient to 0.118
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.623, neg=0, invalid=96777
0130: dt=0.001750, rms=0.623 (0.000%), neg=0, invalid=96777
0131: dt=0.000000, rms=0.623 (-0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.623, neg=0, invalid=96777
0132: dt=0.000000, rms=0.623 (0.000%), neg=0, invalid=96777
setting smoothness coefficient to 0.400
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.628, neg=0, invalid=96777
0133: dt=0.000000, rms=0.628 (0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.628, neg=0, invalid=96777
0134: dt=0.000000, rms=0.628 (0.000%), neg=0, invalid=96777
setting smoothness coefficient to 1.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.638, neg=0, invalid=96777
0135: dt=0.448000, rms=0.632 (0.931%), neg=0, invalid=96777
0136: dt=1.280000, rms=0.618 (2.298%), neg=0, invalid=96777
0137: dt=1.280000, rms=0.609 (1.491%), neg=0, invalid=96777
0138: dt=1.792000, rms=0.600 (1.355%), neg=0, invalid=96777
0139: dt=1.792000, rms=0.596 (0.761%), neg=0, invalid=96777
0140: dt=1.792000, rms=0.593 (0.435%), neg=0, invalid=96777
0141: dt=1.792000, rms=0.592 (0.277%), neg=0, invalid=96777
0142: dt=1.792000, rms=0.591 (0.176%), neg=0, invalid=96777
0143: dt=6.144000, rms=0.588 (0.364%), neg=0, invalid=96777
0144: dt=1.024000, rms=0.588 (0.002%), neg=0, invalid=96777
0145: dt=1.024000, rms=0.588 (0.002%), neg=0, invalid=96777
0146: dt=1.024000, rms=0.588 (-0.011%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.588, neg=0, invalid=96777
0147: dt=1.792000, rms=0.587 (0.297%), neg=0, invalid=96777
0148: dt=1.792000, rms=0.586 (0.119%), neg=0, invalid=96777
0149: dt=2.750000, rms=0.586 (0.068%), neg=0, invalid=96777
0150: dt=4.096000, rms=0.585 (0.021%), neg=0, invalid=96777
0151: dt=2.048000, rms=0.585 (-0.010%), neg=0, invalid=96777
resetting metric properties...
setting smoothness coefficient to 2.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.572, neg=0, invalid=96777
0152: dt=0.158874, rms=0.565 (1.113%), neg=0, invalid=96777
0153: dt=0.007000, rms=0.565 (0.039%), neg=0, invalid=96777
0154: dt=0.007000, rms=0.565 (0.036%), neg=0, invalid=96777
0155: dt=0.007000, rms=0.565 (0.067%), neg=0, invalid=96777
0156: dt=0.007000, rms=0.564 (0.096%), neg=0, invalid=96777
0157: dt=0.007000, rms=0.563 (0.119%), neg=0, invalid=96777
0158: dt=0.007000, rms=0.563 (0.139%), neg=0, invalid=96777
0159: dt=0.007000, rms=0.562 (0.154%), neg=0, invalid=96777
0160: dt=0.007000, rms=0.561 (0.167%), neg=0, invalid=96777
0161: dt=0.007000, rms=0.560 (0.178%), neg=0, invalid=96777
0162: dt=0.007000, rms=0.559 (0.185%), neg=0, invalid=96777
0163: dt=0.007000, rms=0.558 (0.189%), neg=0, invalid=96777
0164: dt=0.007000, rms=0.557 (0.189%), neg=0, invalid=96777
0165: dt=0.007000, rms=0.556 (0.190%), neg=0, invalid=96777
0166: dt=0.007000, rms=0.555 (0.187%), neg=0, invalid=96777
0167: dt=0.007000, rms=0.554 (0.185%), neg=0, invalid=96777
0168: dt=0.007000, rms=0.553 (0.177%), neg=0, invalid=96777
0169: dt=0.007000, rms=0.552 (0.173%), neg=0, invalid=96777
0170: dt=0.007000, rms=0.551 (0.160%), neg=0, invalid=96777
0171: dt=0.007000, rms=0.550 (0.158%), neg=0, invalid=96777
0172: dt=0.007000, rms=0.549 (0.146%), neg=0, invalid=96777
0173: dt=0.007000, rms=0.548 (0.138%), neg=0, invalid=96777
0174: dt=0.007000, rms=0.548 (0.130%), neg=0, invalid=96777
0175: dt=0.007000, rms=0.547 (0.119%), neg=0, invalid=96777
0176: dt=0.007000, rms=0.546 (0.111%), neg=0, invalid=96777
0177: dt=0.007000, rms=0.546 (0.099%), neg=0, invalid=96777
0178: dt=0.007000, rms=0.545 (0.092%), neg=0, invalid=96777
0179: dt=0.007000, rms=0.545 (0.083%), neg=0, invalid=96777
0180: dt=0.007000, rms=0.544 (0.076%), neg=0, invalid=96777
0181: dt=0.007000, rms=0.544 (0.069%), neg=0, invalid=96777
0182: dt=0.007000, rms=0.544 (0.062%), neg=0, invalid=96777
0183: dt=0.007000, rms=0.543 (0.052%), neg=0, invalid=96777
0184: dt=0.007000, rms=0.543 (0.048%), neg=0, invalid=96777
0185: dt=0.007000, rms=0.543 (0.043%), neg=0, invalid=96777
0186: dt=0.007000, rms=0.543 (0.038%), neg=0, invalid=96777
0187: dt=0.007000, rms=0.543 (0.033%), neg=0, invalid=96777
0188: dt=0.007000, rms=0.542 (0.030%), neg=0, invalid=96777
0189: dt=0.007000, rms=0.542 (0.028%), neg=0, invalid=96777
0190: dt=0.007000, rms=0.542 (0.024%), neg=0, invalid=96777
0191: dt=0.007000, rms=0.542 (0.023%), neg=0, invalid=96777
0192: dt=0.112000, rms=0.542 (0.005%), neg=0, invalid=96777
0193: dt=0.112000, rms=0.542 (0.014%), neg=0, invalid=96777
0194: dt=0.056000, rms=0.542 (0.007%), neg=0, invalid=96777
0195: dt=0.056000, rms=0.542 (0.011%), neg=0, invalid=96777
0196: dt=0.056000, rms=0.542 (0.017%), neg=0, invalid=96777
0197: dt=0.056000, rms=0.542 (0.028%), neg=0, invalid=96777
0198: dt=0.056000, rms=0.541 (0.014%), neg=0, invalid=96777
0199: dt=0.056000, rms=0.541 (0.025%), neg=0, invalid=96777
0200: dt=0.056000, rms=0.541 (0.035%), neg=0, invalid=96777
0201: dt=0.056000, rms=0.541 (0.045%), neg=0, invalid=96777
0202: dt=0.056000, rms=0.541 (0.054%), neg=0, invalid=96777
0203: dt=0.056000, rms=0.540 (0.064%), neg=0, invalid=96777
0204: dt=0.056000, rms=0.540 (0.012%), neg=0, invalid=96777
0205: dt=0.056000, rms=0.540 (0.028%), neg=0, invalid=96777
0206: dt=0.056000, rms=0.540 (0.013%), neg=0, invalid=96777
0207: dt=0.056000, rms=0.540 (0.023%), neg=0, invalid=96777
0208: dt=0.056000, rms=0.540 (0.032%), neg=0, invalid=96777
0209: dt=0.056000, rms=0.540 (0.012%), neg=0, invalid=96777
0210: dt=0.056000, rms=0.540 (0.022%), neg=0, invalid=96777
0211: dt=0.056000, rms=0.539 (0.031%), neg=0, invalid=96777
0212: dt=0.056000, rms=0.539 (0.038%), neg=0, invalid=96777
0213: dt=0.056000, rms=0.539 (0.040%), neg=0, invalid=96777
0214: dt=0.056000, rms=0.539 (0.048%), neg=0, invalid=96777
0215: dt=0.056000, rms=0.538 (0.052%), neg=0, invalid=96777
0216: dt=0.056000, rms=0.538 (0.049%), neg=0, invalid=96777
0217: dt=0.056000, rms=0.538 (0.055%), neg=0, invalid=96777
0218: dt=0.056000, rms=0.538 (0.052%), neg=0, invalid=96777
0219: dt=0.056000, rms=0.537 (0.049%), neg=0, invalid=96777
0220: dt=0.056000, rms=0.537 (0.052%), neg=0, invalid=96777
0221: dt=0.056000, rms=0.537 (0.052%), neg=0, invalid=96777
0222: dt=0.056000, rms=0.536 (0.047%), neg=0, invalid=96777
0223: dt=0.056000, rms=0.536 (0.046%), neg=0, invalid=96777
0224: dt=0.056000, rms=0.536 (0.040%), neg=0, invalid=96777
0225: dt=0.056000, rms=0.536 (0.002%), neg=0, invalid=96777
0226: dt=0.056000, rms=0.536 (0.002%), neg=0, invalid=96777
0227: dt=0.056000, rms=0.536 (0.007%), neg=0, invalid=96777
0228: dt=0.056000, rms=0.536 (0.009%), neg=0, invalid=96777
0229: dt=0.056000, rms=0.536 (0.004%), neg=0, invalid=96777
0230: dt=0.112000, rms=0.536 (0.004%), neg=0, invalid=96777
0231: dt=0.112000, rms=0.536 (0.004%), neg=0, invalid=96777
0232: dt=0.112000, rms=0.536 (0.005%), neg=0, invalid=96777
0233: dt=0.112000, rms=0.536 (0.005%), neg=0, invalid=96777
0234: dt=0.112000, rms=0.536 (0.004%), neg=0, invalid=96777
0235: dt=0.112000, rms=0.536 (0.005%), neg=0, invalid=96777
0236: dt=0.014000, rms=0.536 (0.003%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.536, neg=0, invalid=96777
0237: dt=0.112000, rms=0.534 (0.251%), neg=0, invalid=96777
0238: dt=0.384000, rms=0.531 (0.604%), neg=0, invalid=96777
0239: dt=0.028000, rms=0.531 (0.004%), neg=0, invalid=96777
0240: dt=0.028000, rms=0.531 (0.008%), neg=0, invalid=96777
0241: dt=0.028000, rms=0.531 (0.012%), neg=0, invalid=96777
0242: dt=0.028000, rms=0.531 (0.015%), neg=0, invalid=96777
0243: dt=0.028000, rms=0.531 (0.017%), neg=0, invalid=96777
0244: dt=0.028000, rms=0.531 (0.020%), neg=0, invalid=96777
0245: dt=0.028000, rms=0.531 (0.001%), neg=0, invalid=96777
0246: dt=0.028000, rms=0.531 (0.002%), neg=0, invalid=96777
0247: dt=0.028000, rms=0.531 (0.002%), neg=0, invalid=96777
0248: dt=0.112000, rms=0.531 (0.004%), neg=0, invalid=96777
0249: dt=0.320000, rms=0.531 (0.004%), neg=0, invalid=96777
label assignment complete, 0 changed (0.00%)
*********************************************************************************************
*********************************************************************************************
*********************************************************************************************
********************* ALLOWING NEGATIVE NODES IN DEFORMATION ********************************
*********************************************************************************************
*********************************************************************************************
*********************************************************************************************
**************** pass 1 of 1 ************************
setting smoothness coefficient to 0.008
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.527, neg=0, invalid=96777
0250: dt=8.092000, rms=0.527 (-0.001%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.527, neg=0, invalid=96777
0251: dt=129.472000, rms=0.527 (0.072%), neg=0, invalid=96777
0252: dt=129.472000, rms=0.527 (0.088%), neg=0, invalid=96777
0253: dt=32.368000, rms=0.526 (0.017%), neg=0, invalid=96777
0254: dt=32.368000, rms=0.526 (-0.000%), neg=0, invalid=96777
setting smoothness coefficient to 0.031
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.527, neg=0, invalid=96777
0255: dt=36.288000, rms=0.525 (0.200%), neg=0, invalid=96777
0256: dt=103.680000, rms=0.523 (0.434%), neg=0, invalid=96777
0257: dt=25.920000, rms=0.523 (0.101%), neg=0, invalid=96777
0258: dt=25.920000, rms=0.522 (0.121%), neg=0, invalid=96777
0259: dt=25.920000, rms=0.521 (0.148%), neg=0, invalid=96777
0260: dt=25.920000, rms=0.521 (0.141%), neg=0, invalid=96777
iter 0, gcam->neg = 1
after 1 iterations, nbhd size=0, neg = 0
0261: dt=25.920000, rms=0.520 (0.095%), neg=0, invalid=96777
0262: dt=25.920000, rms=0.520 (0.072%), neg=0, invalid=96777
0263: dt=124.416000, rms=0.519 (0.116%), neg=0, invalid=96777
0264: dt=15.552000, rms=0.519 (0.049%), neg=0, invalid=96777
0265: dt=15.552000, rms=0.519 (0.030%), neg=0, invalid=96777
0266: dt=15.552000, rms=0.518 (0.032%), neg=0, invalid=96777
0267: dt=15.552000, rms=0.518 (0.043%), neg=0, invalid=96777
0268: dt=15.552000, rms=0.518 (0.043%), neg=0, invalid=96777
0269: dt=15.552000, rms=0.518 (0.050%), neg=0, invalid=96777
0270: dt=15.552000, rms=0.518 (0.054%), neg=0, invalid=96777
0271: dt=15.552000, rms=0.517 (0.043%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.517, neg=0, invalid=96777
0272: dt=36.288000, rms=0.515 (0.409%), neg=0, invalid=96777
iter 0, gcam->neg = 1
after 0 iterations, nbhd size=0, neg = 0
0273: dt=145.152000, rms=0.513 (0.487%), neg=0, invalid=96777
0274: dt=36.288000, rms=0.512 (0.132%), neg=0, invalid=96777
0275: dt=36.288000, rms=0.512 (0.073%), neg=0, invalid=96777
0276: dt=36.288000, rms=0.511 (0.082%), neg=0, invalid=96777
0277: dt=36.288000, rms=0.511 (0.102%), neg=0, invalid=96777
0278: dt=36.288000, rms=0.510 (0.118%), neg=0, invalid=96777
0279: dt=36.288000, rms=0.509 (0.165%), neg=0, invalid=96777
0280: dt=36.288000, rms=0.509 (0.122%), neg=0, invalid=96777
0281: dt=36.288000, rms=0.508 (0.091%), neg=0, invalid=96777
0282: dt=82.944000, rms=0.508 (0.061%), neg=0, invalid=96777
0283: dt=82.944000, rms=0.508 (-0.158%), neg=0, invalid=96777
setting smoothness coefficient to 0.118
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.509, neg=0, invalid=96777
0284: dt=25.600000, rms=0.506 (0.468%), neg=0, invalid=96777
iter 0, gcam->neg = 4
after 6 iterations, nbhd size=1, neg = 0
0285: dt=32.000000, rms=0.503 (0.711%), neg=0, invalid=96777
0286: dt=7.719745, rms=0.501 (0.368%), neg=0, invalid=96777
iter 0, gcam->neg = 2
after 0 iterations, nbhd size=0, neg = 0
0287: dt=38.400000, rms=0.499 (0.467%), neg=0, invalid=96777
0288: dt=7.515152, rms=0.497 (0.314%), neg=0, invalid=96777
0289: dt=38.400000, rms=0.495 (0.447%), neg=0, invalid=96777
0290: dt=6.744526, rms=0.494 (0.268%), neg=0, invalid=96777
0291: dt=44.800000, rms=0.492 (0.368%), neg=0, invalid=96777
0292: dt=7.565891, rms=0.491 (0.171%), neg=0, invalid=96777
0293: dt=7.565891, rms=0.490 (0.135%), neg=0, invalid=96777
0294: dt=7.565891, rms=0.490 (0.144%), neg=0, invalid=96777
0295: dt=7.565891, rms=0.489 (0.190%), neg=0, invalid=96777
0296: dt=7.565891, rms=0.488 (0.204%), neg=0, invalid=96777
0297: dt=7.565891, rms=0.486 (0.235%), neg=0, invalid=96777
0298: dt=7.565891, rms=0.485 (0.259%), neg=0, invalid=96777
0299: dt=7.565891, rms=0.484 (0.249%), neg=0, invalid=96777
0300: dt=7.565891, rms=0.483 (0.251%), neg=0, invalid=96777
iter 0, gcam->neg = 2
after 1 iterations, nbhd size=0, neg = 0
0301: dt=7.565891, rms=0.482 (0.248%), neg=0, invalid=96777
0302: dt=7.565891, rms=0.480 (0.259%), neg=0, invalid=96777
iter 0, gcam->neg = 1
after 0 iterations, nbhd size=0, neg = 0
0303: dt=7.565891, rms=0.479 (0.253%), neg=0, invalid=96777
0304: dt=7.565891, rms=0.478 (0.221%), neg=0, invalid=96777
0305: dt=7.565891, rms=0.477 (0.201%), neg=0, invalid=96777
iter 0, gcam->neg = 1
after 0 iterations, nbhd size=0, neg = 0
0306: dt=7.565891, rms=0.476 (0.166%), neg=0, invalid=96777
0307: dt=7.565891, rms=0.476 (0.158%), neg=0, invalid=96777
0308: dt=7.565891, rms=0.475 (0.154%), neg=0, invalid=96777
0309: dt=7.565891, rms=0.474 (0.134%), neg=0, invalid=96777
0310: dt=7.565891, rms=0.474 (0.125%), neg=0, invalid=96777
0311: dt=7.565891, rms=0.473 (0.107%), neg=0, invalid=96777
0312: dt=19.200000, rms=0.473 (0.041%), neg=0, invalid=96777
0313: dt=19.200000, rms=0.473 (-0.026%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.473, neg=0, invalid=96777
iter 0, gcam->neg = 3
after 0 iterations, nbhd size=0, neg = 0
0314: dt=25.600000, rms=0.471 (0.435%), neg=0, invalid=96777
0315: dt=11.200000, rms=0.470 (0.153%), neg=0, invalid=96777
0316: dt=11.200000, rms=0.470 (0.072%), neg=0, invalid=96777
0317: dt=11.200000, rms=0.469 (0.095%), neg=0, invalid=96777
0318: dt=11.200000, rms=0.469 (0.127%), neg=0, invalid=96777
0319: dt=11.200000, rms=0.468 (0.071%), neg=0, invalid=96777
iter 0, gcam->neg = 1
after 1 iterations, nbhd size=0, neg = 0
0320: dt=11.200000, rms=0.468 (0.047%), neg=0, invalid=96777
0321: dt=11.200000, rms=0.468 (0.029%), neg=0, invalid=96777
0322: dt=11.200000, rms=0.468 (0.024%), neg=0, invalid=96777
0323: dt=11.200000, rms=0.468 (0.013%), neg=0, invalid=96777
0324: dt=11.200000, rms=0.468 (0.031%), neg=0, invalid=96777
0325: dt=11.200000, rms=0.468 (0.031%), neg=0, invalid=96777
setting smoothness coefficient to 0.400
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.479, neg=0, invalid=96777
0326: dt=0.000000, rms=0.479 (0.002%), neg=0, invalid=96777
0327: dt=0.000000, rms=0.479 (0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.479, neg=0, invalid=96777
0328: dt=1.008000, rms=0.479 (0.013%), neg=0, invalid=96777
0329: dt=1.008000, rms=0.479 (0.006%), neg=0, invalid=96777
0330: dt=1.008000, rms=0.479 (0.002%), neg=0, invalid=96777
0331: dt=1.008000, rms=0.479 (-0.029%), neg=0, invalid=96777
setting smoothness coefficient to 1.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.501, neg=0, invalid=96777
0332: dt=1.302682, rms=0.499 (0.344%), neg=0, invalid=96777
0333: dt=0.384000, rms=0.499 (0.012%), neg=0, invalid=96777
0334: dt=0.384000, rms=0.499 (-0.005%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.499, neg=0, invalid=96777
0335: dt=1.348148, rms=0.498 (0.192%), neg=0, invalid=96777
0336: dt=0.448000, rms=0.498 (0.012%), neg=0, invalid=96777
0337: dt=0.448000, rms=0.498 (0.001%), neg=0, invalid=96777
0338: dt=0.448000, rms=0.498 (-0.045%), neg=0, invalid=96777
resetting metric properties...
setting smoothness coefficient to 2.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.479, neg=0, invalid=96777
iter 0, gcam->neg = 628
after 11 iterations, nbhd size=1, neg = 0
0339: dt=2.138903, rms=0.441 (8.014%), neg=0, invalid=96777
0340: dt=0.000750, rms=0.441 (0.004%), neg=0, invalid=96777
0341: dt=0.000750, rms=0.441 (-0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.441, neg=0, invalid=96777
0342: dt=0.007000, rms=0.441 (0.005%), neg=0, invalid=96777
0343: dt=0.007000, rms=0.441 (0.003%), neg=0, invalid=96777
0344: dt=0.007000, rms=0.441 (-0.001%), neg=0, invalid=96777
label assignment complete, 0 changed (0.00%)
label assignment complete, 0 changed (0.00%)
***************** morphing with label term set to 0 *******************************
**************** pass 1 of 1 ************************
setting smoothness coefficient to 0.008
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.421, neg=0, invalid=96777
0345: dt=0.000000, rms=0.422 (-0.251%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.422, neg=0, invalid=96777
0346: dt=55.488000, rms=0.422 (0.018%), neg=0, invalid=96777
0347: dt=92.480000, rms=0.422 (0.005%), neg=0, invalid=96777
0348: dt=92.480000, rms=0.422 (0.006%), neg=0, invalid=96777
0349: dt=92.480000, rms=0.422 (0.006%), neg=0, invalid=96777
0350: dt=92.480000, rms=0.422 (0.002%), neg=0, invalid=96777
setting smoothness coefficient to 0.031
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.422, neg=0, invalid=96777
0351: dt=7.776000, rms=0.422 (0.007%), neg=0, invalid=96777
0352: dt=1.944000, rms=0.422 (0.000%), neg=0, invalid=96777
0353: dt=1.944000, rms=0.422 (-0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.422, neg=0, invalid=96777
0354: dt=145.152000, rms=0.421 (0.167%), neg=0, invalid=96777
0355: dt=36.288000, rms=0.421 (0.108%), neg=0, invalid=96777
0356: dt=36.288000, rms=0.421 (0.037%), neg=0, invalid=96777
0357: dt=36.288000, rms=0.420 (0.059%), neg=0, invalid=96777
0358: dt=36.288000, rms=0.420 (0.070%), neg=0, invalid=96777
0359: dt=36.288000, rms=0.420 (0.071%), neg=0, invalid=96777
0360: dt=36.288000, rms=0.419 (0.065%), neg=0, invalid=96777
0361: dt=36.288000, rms=0.419 (0.060%), neg=0, invalid=96777
setting smoothness coefficient to 0.118
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.420, neg=0, invalid=96777
0362: dt=11.200000, rms=0.419 (0.157%), neg=0, invalid=96777
0363: dt=11.200000, rms=0.419 (0.090%), neg=0, invalid=96777
0364: dt=11.200000, rms=0.419 (0.080%), neg=0, invalid=96777
0365: dt=11.200000, rms=0.418 (0.083%), neg=0, invalid=96777
iter 0, gcam->neg = 4
after 6 iterations, nbhd size=1, neg = 0
0366: dt=11.200000, rms=0.418 (0.049%), neg=0, invalid=96777
iter 0, gcam->neg = 2
after 5 iterations, nbhd size=1, neg = 0
0367: dt=11.200000, rms=0.418 (0.046%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.418, neg=0, invalid=96777
0368: dt=38.400000, rms=0.413 (1.104%), neg=0, invalid=96777
0369: dt=19.200000, rms=0.412 (0.336%), neg=0, invalid=96777
iter 0, gcam->neg = 1
after 1 iterations, nbhd size=0, neg = 0
0370: dt=44.800000, rms=0.411 (0.340%), neg=0, invalid=96777
0371: dt=19.200000, rms=0.410 (0.100%), neg=0, invalid=96777
0372: dt=19.200000, rms=0.410 (0.102%), neg=0, invalid=96777
0373: dt=19.200000, rms=0.409 (0.151%), neg=0, invalid=96777
0374: dt=19.200000, rms=0.408 (0.179%), neg=0, invalid=96777
0375: dt=19.200000, rms=0.408 (0.182%), neg=0, invalid=96777
0376: dt=19.200000, rms=0.407 (0.198%), neg=0, invalid=96777
0377: dt=19.200000, rms=0.406 (0.201%), neg=0, invalid=96777
0378: dt=19.200000, rms=0.405 (0.180%), neg=0, invalid=96777
0379: dt=19.200000, rms=0.405 (0.160%), neg=0, invalid=96777
0380: dt=19.200000, rms=0.404 (0.139%), neg=0, invalid=96777
0381: dt=19.200000, rms=0.404 (0.141%), neg=0, invalid=96777
0382: dt=19.200000, rms=0.403 (0.136%), neg=0, invalid=96777
0383: dt=19.200000, rms=0.402 (0.117%), neg=0, invalid=96777
0384: dt=19.200000, rms=0.402 (0.098%), neg=0, invalid=96777
0385: dt=44.800000, rms=0.402 (0.012%), neg=0, invalid=96777
0386: dt=44.800000, rms=0.402 (-0.001%), neg=0, invalid=96777
setting smoothness coefficient to 0.400
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.408, neg=0, invalid=96777
0387: dt=0.000000, rms=0.408 (0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.408, neg=0, invalid=96777
0388: dt=0.000000, rms=0.408 (0.000%), neg=0, invalid=96777
setting smoothness coefficient to 1.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.422, neg=0, invalid=96777
0389: dt=0.000000, rms=0.422 (0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.422, neg=0, invalid=96777
0390: dt=0.007000, rms=0.422 (0.000%), neg=0, invalid=96777
0391: dt=0.007000, rms=0.422 (0.000%), neg=0, invalid=96777
0392: dt=0.007000, rms=0.422 (0.000%), neg=0, invalid=96777
0393: dt=0.007000, rms=0.422 (-0.000%), neg=0, invalid=96777
resetting metric properties...
setting smoothness coefficient to 2.000
blurring input image with Gaussian with sigma=2.000...
0000: dt=0.000, rms=0.399, neg=0, invalid=96777
iter 0, gcam->neg = 480
after 10 iterations, nbhd size=1, neg = 0
0394: dt=0.935886, rms=0.387 (3.115%), neg=0, invalid=96777
0395: dt=0.000188, rms=0.387 (0.002%), neg=0, invalid=96777
0396: dt=0.000188, rms=0.387 (-0.000%), neg=0, invalid=96777
blurring input image with Gaussian with sigma=0.500...
0000: dt=0.000, rms=0.387, neg=0, invalid=96777
0397: dt=0.000438, rms=0.387 (0.000%), neg=0, invalid=96777
0398: dt=0.000250, rms=0.387 (0.000%), neg=0, invalid=96777
0399: dt=0.000250, rms=0.387 (-0.000%), neg=0, invalid=96777
writing output transformation to transforms/talairach.m3z...
GCAMwrite
registration took 2 hours, 11 minutes and 56 seconds.
#--------------------------------------
#@# CA Reg Inv ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۷:۵۳:۵۳ (IRST)‬
/home/fmri-04/Documents/workshop/subjects/Subject004/mri

 mri_ca_register -invert-and-save transforms/talairach.m3z 

Loading, Inverting, Saving, Exiting ...
Reading transforms/talairach.m3z 
Inverting GCAM
Saving inverse 
#--------------------------------------
#@# Remove Neck ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۷:۵۴:۲۸ (IRST)‬

 mri_remove_neck -radius 25 nu.mgz transforms/talairach.m3z /usr/local/freesurfer/average/RB_all_2008-03-26.gca nu_noneck.mgz 

erasing everything more than 25 mm from possible brain
reading atlas '/usr/local/freesurfer/average/RB_all_2008-03-26.gca'...
reading input volume 'nu.mgz'...
reading transform 'transforms/talairach.m3z'...
removing structures at least 25 mm from brain...
10723887 nonbrain voxels erased
writing output to nu_noneck.mgz...
nonbrain removal took 1 minutes and 13 seconds.
#--------------------------------------
#@# SkullLTA ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۷:۵۵:۴۲ (IRST)‬

 mri_em_register -skull -t transforms/talairach.lta nu_noneck.mgz /usr/local/freesurfer/average/RB_all_withskull_2008-03-26.gca transforms/talairach_with_skull_2.lta 



 ======= NUMBER OF OPENMP THREADS = 1 ======= 
aligning to atlas containing skull, setting unknown_nbr_spacing = 5
using previously computed transform transforms/talairach.lta
reading 1 input volumes...
logging results to talairach_with_skull_2.log
reading '/usr/local/freesurfer/average/RB_all_withskull_2008-03-26.gca'...
average std = 23.1   using min determinant for regularization = 53.4
0 singular and 5702 ill-conditioned covariance matrices regularized
reading 'nu_noneck.mgz'...
freeing gibbs priors...done.
bounding unknown intensity as < 20.2 or > 943.7 
total sample mean = 92.0 (1443 zeros)
************************************************
spacing=8, using 3481 sample points, tol=1.00e-05...
************************************************
register_mri: find_optimal_transform
find_optimal_transform: nsamples 3481, passno 0, spacing 8
resetting wm mean[0]: 117 --> 126
resetting gm mean[0]: 74 --> 74
input volume #1 is the most T1-like
using real data threshold=6.0
skull bounding box = (42, 30, 29) --> (215, 202, 217)
using (100, 87, 123) as brain centroid...
mean wm in atlas = 126, using box (79,66,100) --> (121, 108,146) to find MRI wm
before smoothing, mri peak at 105
after smoothing, mri peak at 106, scaling input intensities by 1.189
scaling channel 0 by 1.18868
****************************************
Nine parameter search.  iteration 0 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.9, old_max_log_p =-4.0 (thresh=-4.0)
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.087   0.135   1.180  -60.869;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 1 nscales = 0 ...
****************************************
Result so far: scale 1.000: max_log_p=-3.9, old_max_log_p =-3.9 (thresh=-3.9)
 0.955  -0.063  -0.065   16.619;
 0.046   1.080  -0.130   5.350;
 0.087   0.135   1.180  -60.869;
 0.000   0.000   0.000   1.000;
reducing scale to 0.2500
****************************************
Nine parameter search.  iteration 2 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.8, old_max_log_p =-3.9 (thresh=-3.9)
 0.976  -0.024  -0.034   5.757;
 0.015   1.101  -0.132   7.126;
 0.051   0.129   1.116  -47.878;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 3 nscales = 1 ...
****************************************
Result so far: scale 0.250: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.976  -0.024  -0.034   5.757;
 0.015   1.101  -0.132   7.126;
 0.051   0.129   1.116  -47.878;
 0.000   0.000   0.000   1.000;
reducing scale to 0.0625
****************************************
Nine parameter search.  iteration 4 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.975  -0.026  -0.052   7.857;
 0.014   1.095  -0.149   10.055;
 0.067   0.148   1.117  -53.158;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 5 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.977  -0.026  -0.052   7.581;
 0.015   1.095  -0.140   8.888;
 0.067   0.139   1.118  -51.776;
 0.000   0.000   0.000   1.000;
****************************************
Nine parameter search.  iteration 6 nscales = 2 ...
****************************************
Result so far: scale 0.062: max_log_p=-3.8, old_max_log_p =-3.8 (thresh=-3.8)
 0.977  -0.026  -0.052   7.581;
 0.015   1.093  -0.140   9.020;
 0.067   0.139   1.119  -51.960;
 0.000   0.000   0.000   1.000;
min search scale 0.025000 reached
***********************************************
Computing MAP estimate using 3481 samples...
***********************************************
dt = 5.00e-06, momentum=0.80, tol=1.00e-05
l_intensity = 1.0000
Aligning input volume to GCA...
Transform matrix
 0.97725  -0.02617  -0.05213   7.58106;
 0.01500   1.09344  -0.13988   9.01994;
 0.06714   0.13871   1.11914  -51.96045;
 0.00000   0.00000   0.00000   1.00000;
nsamples 3481
Quasinewton: input matrix
 0.97725  -0.02617  -0.05213   7.58106;
 0.01500   1.09344  -0.13988   9.01994;
 0.06714   0.13871   1.11914  -51.96045;
 0.00000   0.00000   0.00000   1.00000;
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 008: -log(p) =   -0.0  tol 0.000010
Resulting transform:
 0.977  -0.026  -0.052   7.581;
 0.015   1.093  -0.140   9.020;
 0.067   0.139   1.119  -51.960;
 0.000   0.000   0.000   1.000;

pass 1, spacing 8: log(p) = -3.8 (old=-4.0)
transform before final EM align:
 0.977  -0.026  -0.052   7.581;
 0.015   1.093  -0.140   9.020;
 0.067   0.139   1.119  -51.960;
 0.000   0.000   0.000   1.000;

**************************************************
 EM alignment process ...
 Computing final MAP estimate using 382743 samples. 
**************************************************
dt = 5.00e-06, momentum=0.80, tol=1.00e-07
l_intensity = 1.0000
Aligning input volume to GCA...
Transform matrix
 0.97725  -0.02617  -0.05213   7.58106;
 0.01500   1.09344  -0.13988   9.01994;
 0.06714   0.13871   1.11914  -51.96045;
 0.00000   0.00000   0.00000   1.00000;
nsamples 382743
Quasinewton: input matrix
 0.97725  -0.02617  -0.05213   7.58106;
 0.01500   1.09344  -0.13988   9.01994;
 0.06714   0.13871   1.11914  -51.96045;
 0.00000   0.00000   0.00000   1.00000;
dfp_em_step_func: 009: -log(p) = 4.2
after pass:transform: ( 0.98, -0.03, -0.05, 7.58)
                      ( 0.02, 1.09, -0.14, 9.02)
                      ( 0.07, 0.14, 1.12, -51.96)
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 3 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESpass 2 through quasi-newton minimization...
 IFLAG= -1  LINE SEARCH FAILED. SEE DOCUMENTATION OF ROUTINE MCSRCH ERROR RETURN OF LINE SEARCH: INFO= 6 POSSIBLE CAUSES: FUNCTION OR GRADIENT ARE INCORRECT OR INCORRECT TOLERANCESoutof QuasiNewtonEMA: 011: -log(p) =    4.2  tol 0.000000
final transform:
 0.977  -0.026  -0.052   7.581;
 0.015   1.093  -0.140   9.020;
 0.067   0.139   1.119  -51.960;
 0.000   0.000   0.000   1.000;

writing output transformation to transforms/talairach_with_skull_2.lta...
registration took 22 minutes and 13 seconds.
#--------------------------------------
#@# SubCort Seg ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۸:۱۷:۵۶ (IRST)‬

 mri_ca_label -align norm.mgz transforms/talairach.m3z /usr/local/freesurfer/average/RB_all_2008-03-26.gca aseg.auto_noCCseg.mgz 

sysname  Linux
hostname fmri04
machine  x86_64

setenv SUBJECTS_DIR /home/fmri-04/Documents/workshop/subjects
cd /home/fmri-04/Documents/workshop/subjects/Subject004/mri
mri_ca_label -align norm.mgz transforms/talairach.m3z /usr/local/freesurfer/average/RB_all_2008-03-26.gca aseg.auto_noCCseg.mgz 

renormalizing sequences with structure alignment, equivalent to:
	-renormalize
	-renormalize_mean 0.500
	-regularize 0.500
reading 1 input volumes...
reading classifier array from /usr/local/freesurfer/average/RB_all_2008-03-26.gca...
reading input volume from norm.mgz...
average std[0] = 6.9
reading transform from transforms/talairach.m3z...
Atlas used for the 3D morph was /usr/local/freesurfer/average/RB_all_2008-03-26.gca
average std = 6.9   using min determinant for regularization = 4.7
0 singular and 0 ill-conditioned covariance matrices regularized
labeling volume...
renormalizing by structure alignment....
renormalizing input #0
gca peak = 0.15151 (27)
mri peak = 0.16125 (12)
Left_Lateral_Ventricle (4): linear fit = 0.40 x + 0.0 (348 voxels, overlap=0.007)
Left_Lateral_Ventricle (4): linear fit = 0.40 x + 0.0 (348 voxels, peak = 11), gca=10.8
gca peak = 0.14982 (20)
mri peak = 0.15422 (12)
Right_Lateral_Ventricle (43): linear fit = 0.50 x + 0.0 (615 voxels, overlap=0.007)
Right_Lateral_Ventricle (43): linear fit = 0.50 x + 0.0 (615 voxels, peak = 10), gca=9.9
gca peak = 0.28003 (97)
mri peak = 0.11594 (99)
Right_Pallidum (52): linear fit = 1.00 x + 0.0 (483 voxels, overlap=0.901)
Right_Pallidum (52): linear fit = 1.00 x + 0.0 (483 voxels, peak = 97), gca=97.5
gca peak = 0.18160 (96)
mri peak = 0.11459 (86)
Left_Pallidum (13): linear fit = 0.85 x + 0.0 (179 voxels, overlap=0.054)
Left_Pallidum (13): linear fit = 0.85 x + 0.0 (179 voxels, peak = 81), gca=81.1
gca peak = 0.27536 (62)
mri peak = 0.09379 (62)
Right_Hippocampus (53): linear fit = 0.96 x + 0.0 (858 voxels, overlap=0.944)
Right_Hippocampus (53): linear fit = 0.96 x + 0.0 (858 voxels, peak = 60), gca=59.8
gca peak = 0.32745 (63)
mri peak = 0.09688 (61)
Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (923 voxels, overlap=1.013)
Left_Hippocampus (17): linear fit = 0.94 x + 0.0 (923 voxels, peak = 60), gca=59.5
gca peak = 0.08597 (105)
mri peak = 0.07899 (109)
Right_Cerebral_White_Matter (41): linear fit = 1.03 x + 0.0 (42081 voxels, overlap=0.701)
Right_Cerebral_White_Matter (41): linear fit = 1.03 x + 0.0 (42081 voxels, peak = 109), gca=108.7
gca peak = 0.09209 (106)
mri peak = 0.08303 (107)
Left_Cerebral_White_Matter (2): linear fit = 1.01 x + 0.0 (42821 voxels, overlap=0.750)
Left_Cerebral_White_Matter (2): linear fit = 1.01 x + 0.0 (42821 voxels, peak = 108), gca=107.6
Killed
Linux fmri04 3.19.0-25-generic #26~14.04.1-Ubuntu SMP Fri Jul 24 21:16:20 UTC 2015 x86_64 x86_64 x86_64 GNU/Linux

recon-all -s Subject004 exited with ERRORS at ‫جمعه ۲۳ دسامبر ۱۶، ساعت ۰۸:۲۱:۱۵ (IRST)‬

To report a problem, see http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
