Nick,
I'll rerun mri_ca_register and probably get you the core file by monday if not over the weekend ...
 
Binyam
 
 
Binyam Nardos
Cognitive Rehabilitation Research Group
Washington University School of Medicine Box # 8505
4444 Forest Park Blvd
St. Louis, MO 63108
Office: (314) 454-7795
Fax: (314) 286-1601

 

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From: Nick Schmansky [mailto:nicks@nmr.mgh.harvard.edu]
Sent: Fri 2/23/2007 3:30 PM
To: giri.prashanth@gmail.com; Binyam Nardos
Cc: Freesurfer Mailing List
Subject: Re: [Freesurfer] (no subject)

Giri and Binyam,

This problem was encountered once before (by Binyam), and I was not able
to recreate the segmentation fault locally, so can one or both of you do
the following to help me debug this problem?  I have posted a version of
mri_ca_register which contains the debugging symbols here:

ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/fsdev/nicks/stable

There is a version for each Linux platform.  Install it in your
$FREESURFER_HOME, after gunzipping it.

When a segfault occurs, it creates a file called 'core' in the directory
where mri_ca_register was running.  You should see one there now in your
subjects mri dir.  But the core file you have now does not contain
debugging symbols, so I need you rerun mri_ca_register (by just running
the -autorecon2 stage again), and when it generates another core file
(make sure the date matches when it occurred in the recon-all.log), I'd
like you to send me that file (named 'core') via this filedrop:

  https://www.nmr.mgh.harvard.edu/facility/filedrop/index.html

and I can open it in gdb and see where in the code the problem is
occurring.

Thanks,

Nick

On Fri, 2007-02-23 at 12:05 -0500, Giri Prashanth wrote:
> Hi Freesurfer experts,
>
> I have encountered the following error running the reconall -
> autorecon2 script,
>
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.474, neg=0, invalid=1511
> 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation
> fault
> ERROR: mri_ca_register with non-zero status
>
> The complete ouput from the log file is attached below.
>
> I ran the autorecon1 earlier without any errors. The talirach
> transformation and skull stripping went fine on examination. There
> were also no memory errors logged in var/spool/mail directory.
>
> I am currently using Red Hat Enterprise Linux Client release 4.91
> (Tikanga), with 2GB RAM on 64-bit Intel dual core.
>
> I would greatly appreciate any help on this.
>
> Thanks,
> -Giri
>
>
> /usr/local/bin/freesurfer/subjects/GK1
> /usr/local/bin/freesurfer/bin/recon-all
> -autorecon2 -sid GK1
> subjid GK1
> setenv SUBJECTS_DIR /usr/local/bin/freesurfer/subjects
> FREESURFER_HOME /usr/local/bin/freesurfer
> Actual FREESURFER_HOME /usr/local/bin/freesurfer
> build-stamp.txt: freesurfer-Linux-centos4_x86_64-stable-pub-v3.0.4
> Linux lab1 2.6.17-1.2519.4.21.el5 #1 SMP Wed Aug 30 18:18:28 EDT 2006
> x86_64 x86_64 x86_64 GNU/Linux
> cputime      unlimited
> filesize     unlimited
> datasize     unlimited
> stacksize    10240 kbytes
> coredumpsize 0 kbytes
> memoryuse    unlimited
> vmemoryuse   unlimited
> descriptors  1024
> memorylocked 32 kbytes
> maxproc      16369
> ########################################
> program versions used
> $Id: recon-all,v MailScanner has detected a possible fraud attempt
> from "1.17.2.15" claiming to beMailScanner warning: numerical links
> are often malicious: 1.17.2.15 2006/11/21 04:58:13 nicks Exp $
> $Id: mri_motion_correct.fsl,v 1.4 2006/01/01 21:56:44 greve Exp $
> mri_convert -all-info
> ProgramName: mri_convert ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mri_convert.c,v MailScanner has detected a possible fraud attempt from
> "1.121.2.1" claiming to beMailScanner warning: numerical links are
> often malicious: 1.121.2.1 2006/08/28 18:00:04 greve Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> $Id: talairach,v 1.2 2005/12/12 23:04:35 greve Exp $
> mri_convert --version
> stable3
> Program nu_correct, built from:
> Package MNI N3, version 1.10, compiled by nicks@minerva (x86_64-
> unknown-linux-gnu) on 2005-11-15 at 20:37:35
> ProgramName: mri_normalize ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mri_normalize.c,v MailScanner has detected a possible fraud attempt
> from "1.44.2.2" claiming to beMailScanner warning: numerical links are
> often malicious: 1.44.2.2 2006/06/28 23:38:13 nicks Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_watershed ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mri_watershed.cpp,v 1.48 2006/02/27 16:57:57 segonne Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_segment ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mri_segment.c,v MailScanner has detected a possible fraud attempt from
> "1.28.2.1" claiming to beMailScanner warning: numerical links are
> often malicious: 1.28.2.1 2006/04/12 02:02:58 nicks Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_fill ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mri_fill.c,v 1.101 2006/02/22 23:05:06 nicks Exp $ User: root Machine:
> lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_tessellate ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mri_tessellate.c,v MailScanner has detected a possible fraud
> attempt from "1.27.2.1" claiming to beMailScanner warning: numerical
> links are often malicious: 1.27.2.1 2006/05/02 21:41:01 nicks Exp $
> User: root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_smooth ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mris_smooth.c,v MailScanner has detected a possible fraud attempt from
> "1.13.2.1" claiming to beMailScanner warning: numerical links are
> often malicious: 1.13.2.1 2006/05/02 21:41:01 nicks Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_inflate ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mris_inflate.c,v MailScanner has detected a possible fraud attempt
> from "1.30.2.1" claiming to beMailScanner warning: numerical links are
> often malicious: 1.30.2.1 2006/05/02 21:41:01 nicks Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_sphere ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mris_sphere.c,v 1.38 2006/02/08 00:17:40 nicks Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_fix_topology ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mris_fix_topology.c,v 1.41 2006/02/06 19:41:59 nicks Exp $ User:
> root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_euler_number ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mris_euler_number.c,v 1.4 2003/09/05 04:45:41 kteich Exp $ User:
> root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_make_surfaces ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mris_make_surfaces.c,v MailScanner has detected a possible fraud
> attempt from "1.70.2.5" claiming to beMailScanner warning: numerical
> links are often malicious: 1.70.2.5 2006/07/18 18:26:01 nicks Exp $
> User: root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mris_register ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mris_register.c,v 1.32 2005/12/07 14:22:57 fischl Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mrisp_paint ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mrisp_paint.c,v 1.6 2005/02/14 04:30:19 segonne Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_label2label ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mri_label2label.c,v MailScanner has detected a possible fraud
> attempt from "1.23.2.1" claiming to beMailScanner warning: numerical
> links are often malicious: 1.23.2.1 2006/09/20 20:42:55 greve Exp $
> User: root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_em_register ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mri_em_register.c,v 1.52 2006/01/11 21:01:40 greve Exp $ User:
> root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_ca_normalize ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mri_ca_normalize.c,v 1.31 2005/08/15 14:14:22 fischl Exp $ User:
> root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_ca_register ProgramArguments: -all-info
> ProgramVersion: $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS:
> $Id: mri_ca_register.c,v MailScanner has detected a possible fraud
> attempt from "1.48.2.7" claiming to beMailScanner warning: numerical
> links are often malicious: 1.48.2.7 2006/10/24 01:48:52 nicks Exp $
> User: root Machine: lab1 Platform: Linux PlatformVersion:
> 2.6.17-1.2519.4.21.el5 CompilerName: GCC CompilerVersion: 30400
> ProgramName: mri_ca_label ProgramArguments: -all-info ProgramVersion:
> $Name: stable3 $ TimeStamp: 07/02/22-20:13:40-GMT CVS: $Id:
> mri_ca_label.c,v MailScanner has detected a possible fraud attempt
> from "1.68.2.2" claiming to beMailScanner warning: numerical links are
> often malicious: 1.68.2.2 2006/08/16 00:18:42 nicks Exp $ User: root
> Machine: lab1 Platform: Linux PlatformVersion: 2.6.17-1.2519.4.21.el5
> CompilerName: GCC CompilerVersion: 30400
> #######################################
> GCA RB_all_2006-02-15.gca
> GCASkull RB_all_withskull_2006-02-15.gca
> AvgCurvTif average.curvature.filled.buckner40.tif
> GCS curvature.buckner40.filled.desikan_killiany.gcs
> #######################################
> #-------------------------------------
> #@# EM Registration Thu Feb 22 15:13:40 EST 2007
> /usr/local/bin/freesurfer/subjects/GK1/mri
>
>  mri_em_register -mask brainmask.mgz
> nu.mgz /usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca
> transforms/talairach.lta
>
> using MR volume brainmask.mgz to mask input volume...
> reading 1 input volumes...
> logging results to talairach.log
> reading '/usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca'...
> setting gca type = Normal gca type
> average std = 7.4   using min determinant for regularization = 5.5
> 0 singular and 1662 ill-conditioned covariance matrices regularized
> reading 'nu.mgz'...
> total sample mean = 87.9 (483 zeros)
> register_mri: find_optimal_transform
> find_optimal_transform: nsamples 2242, passno 0, spacing 8
> ************************************************
> First Search limited to translation only.
> ************************************************
> Found translation: (-2.0, 32.7, 2.0): log p = -23693.6
> Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p
> =-23693.6 (thresh=-23669.9)
>  1.125   0.000    0.000  -18.071;
>  0.000   1.179   0.184  -1.635;
>  0.000  -0.122   0.995   13.008;
>  0.000   0.000   0.000   1.000;
> Result so far: scale 1.000: max_log_p=-14331.5, old_max_log_p
> =-14331.5 (thresh=-14317.2)
>  1.125   0.000   0.000  -18.071;
>  0.000   1.179   0.184  -1.635;
>  0.000  -0.122   0.995   13.008;
>  0.000   0.000   0.000   1.000;
> dt = 5.00e-06, momentum=0.80, tol=1.00e-05
> l_intensity = 1.0000
> Aligning input volume to GCA...
> Transform matrix
>  1.12500   0.00000   0.00000  -18.07085;
>  0.00000   1.17858   0.18412  -1.63507;
>  0.00000  -0.12245   0.99506   13.00834;
>  0.00000   0.00000   0.00000   1.00000;
> nsamples 2242
> Quasinewton: input matrix
>  1.12500   0.00000   0.00000  -18.07085;
>  0.00000   1.17858   0.18412  -1.63507;
>  0.00000  -0.12245   0.99506   13.00834;
>  0.00000   0.00000   0.00000   1.00000;
> pass 2 through quasi-newton minimization...
> pass 3 through quasi-newton minimization...
> pass 4 through quasi-newton minimization...
> fp = 14318.311523, fret = 14318.311523, ftol = 0.000010, EPS =
> 0.000000
> dt = 5.00e-06, momentum=0.80, tol=1.00e-07
> l_intensity = 1.0000
> Aligning input volume to GCA...
> Transform matrix
>  1.12500   0.00000   0.00000  -18.07085;
>  0.00000   1.17858   0.18412  -1.63507;
>  0.00000  -0.12245   0.99506   13.00834;
>  0.00000   0.00000   0.00000    1.00000;
> nsamples 242283
> Quasinewton: input matrix
>  1.12500   0.00000   0.00000  -18.07085;
>  0.00000   1.17858   0.18412  -1.63507;
>  0.00000  -0.12245   0.99506   13.00834;
>  0.00000   0.00000   0.00000    1.00000;
> pass 2 through quasi-newton minimization...
> pass 3 through quasi-newton minimization...
> pass 4 through quasi-newton minimization...
> pass 5 through quasi-newton minimization...
> pass 6 through quasi-newton minimization...
> freeing gibbs priors...done.
> bounding unknown intensity as < 16.0 or > 799.3
> ************************************************
> spacing=8, using 2242 sample points, tol=1.00e-05...
> ************************************************
> resetting wm mean[0]: 109 --> 116
> resetting gm mean[0]: 68 --> 68
> input volume #1 is the most T1-like
> using real data threshold=24.0
> using (106, 68, 109) as brain centroid...
> mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find
> MRI wm
> before smoothing, mri peak at 98
> after smoothing, mri peak at 96, scaling input intensities by 1.208
> scaling channel 0 by 1.20833
> initial log_p = -93140.0
>
> ****************************************
> Nine parameter search.  iteration 0 nscales = 0 ...
> ****************************************
> ****************************************
> Nine parameter search.  iteration 1 nscales = 1 ...
> ****************************************
> reducing scale to 0.2500
> ***********************************************
> Computing MAP estimate using 2242 samples...
> ***********************************************
> dfp_em_step_func: 002: -log(p) = 14331.5
> after pass:transform: ( 1.12, 0.00, 0.00, -18.07)
>                       ( 0.00, 1.18, 0.18, -1.64)
>                       ( 0.00, -0.12, 1.00, 13.01)
> dfp_em_step_func: 003: -log(p) = 14324.0
> after pass:transform: ( 1.12, -0.00, -0.00, -18.07)
>                       ( 0.00, 1.18, 0.18, - 1.64)
>                       ( 0.00, -0.12, 1.00, 13.01)
> dfp_em_step_func: 004: -log(p) = 14319.0
> after pass:transform: ( 1.12, -0.00, -0.00, -18.07)
>                       ( 0.00, 1.18, 0.18, -1.64)
>                       ( 0.00, -0.12, 1.00, 13.01)
> dfp_em_step_func: 005: -log(p) = 14318.3
> after pass:transform: ( 1.12, -0.00, -0.00, -18.07)
>                       ( 0.00, 1.18, 0.18, -1.64)
>                       ( 0.00, -0.12, 1.00 , 13.01)
> outof QuasiNewtonEMA: 007: -log(p) = 14318.3  tol 0.000010
> Resulting transform:
>  1.125   0.000   0.000  -18.071;
>  0.000   1.179   0.184  -1.635;
>  0.000  -0.122   0.995   13.008;
>  0.000   0.000   0.000   1.000;
>
> pass 1, spacing 8: log(p) = -14331.5 (old=-93140.0)
> transform before final EM align:
>  1.125   0.000   0.000  -18.071;
>  0.000   1.179   0.184  -1.635;
>  0.000  -0.122   0.995   13.008;
>   0.000   0.000   0.000   1.000;
>
> **************************************************
>  EM alignment process ...
>  Computing final MAP estimate using 242283 samples.
> **************************************************
> dfp_em_step_func: 006: -log(p) = 1813558.6
> after pass:transform: ( 1.12, 0.00, 0.00, -18.07)
>                       ( 0.00, 1.18, 0.18, -1.64)
>                       ( 0.00, -0.12, 1.00, 13.01)
> dfp_em_step_func: 007: -log(p) = 1806361.1
> after pass:transform: ( 1.12, -0.00, 0.00, -18.07)
>                       ( 0.00, 1.18, 0.19, -1.64)
>                       ( 0.00, -0.12, 0.99, 13.01)
> dfp_em_step_func: 008: -log(p) = 1801868.9
> after pass:transform: ( 1.12, 0.00, 0.00, -18.07)
>                       ( 0.00, 1.18, 0.19, -1.64)
>                       ( -0.00, -0.12, 0.99, 13.01)
> dfp_em_step_func: 009: -log(p) = 1797434.0
> after pass:transform: ( 1.12, 0.00, 0.00 , -18.07)
>                       ( 0.00, 1.18, 0.19, -1.64)
>                       ( 0.00, -0.12, 0.99, 13.01)
> dfp_em_step_func: 010: -log(p) = 1796255.2
> after pass:transform: ( 1.12, 0.00, 0.01, -18.07)
>                       ( 0.00, 1.17, 0.19, -1.64)
>                       ( -0.00, -0.12, 0.99, 13.01)
> dfp_em_step_func: 011: -log(p) = 1791314.1
> after pass:transform: ( 1.12, 0.00, 0.01, -18.07)
>                       ( 0.00, 1.17, 0.19 , -1.64)
>                       ( 0.00, -0.12, 0.99, 13.01)
> outof QuasiNewtonEMA: 013: -log(p) = 1789155.6  tol 0.000000
> final transform:
>  1.117   0.001   0.009  -18.071;
>  0.001   1.172   0.192  -1.635;
>   0.000  -0.125   0.991   13.008;
>  0.000   0.000   0.000   1.000;
>
> writing output transformation to transforms/talairach.lta...
> registration took 3 minutes and 36 seconds.
> #--------------------------------------
> #@# CA Normalize Thu Feb 22 15:17:16 EST 2007
> /usr/local/bin/freesurfer/subjects/GK1/mri
>
>  mri_ca_normalize -mask brainmask.mgz
> nu.mgz /usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca
> transforms/talairach.lta norm.mgz
>
> using MR volume brainmask.mgz to mask input volume...
> reading 1 input volumes
> reading atlas from
> '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'...
> setting gca type = Normal gca type
> reading transform from 'transforms/talairach.lta'...
> INFO: compute sample coordinates transform
>  1.117   0.001   0.009  -18.071;
>  0.001   1.172   0.192  -1.635;
>  0.000  -0.125   0.991   13.008;
>  0.000   0.000   0.000   1.000;
> INFO: transform used
> reading input volume from nu.mgz...
> resetting wm mean[0]: 109 --> 116
> resetting gm mean[0]: 68 --> 68
> input volume #1 is the most T1-like
> using real data threshold= 24.0
> using (106, 68, 109) as brain centroid...
> mean wm in atlas = 116, using box (90,52,88) --> (121, 83,129) to find
> MRI wm
> before smoothing, mri peak at 98
> after smoothing, mri peak at 96, scaling input intensities by 1.208
> scaling channel 0 by 1.20833
> using 242283 sample points...
> finding control points in Left_Cerebral_White_Matter....
> found 38929 control points for structure...
> bounding box (128, 31, 26) --> (187, 125, 191)
> Left_Cerebral_White_Matter: limiting intensities to 106.0 --> 124.0
> 195 of 724 (26.9%) samples deleted
> finding control points in Right_Cerebral_White_Matter....
> found 38531 control points for structure...
> bounding box (71, 32, 26) --> (128, 125, 192)
> Right_Cerebral_White_Matter: limiting intensities to 107.0 --> 122.0
> 330 of 725 (45.5%) samples deleted
> finding control points in Left_Cerebellum_White_Matter....
> found 3087 control points for structure...
> bounding box (130, 107, 52) --> (171, 142, 105)
> Left_Cerebellum_White_Matter: limiting intensities to 113.0 --> 118.0
> 59 of 110 (53.6%) samples deleted
> finding control points in Right_Cerebellum_White_Matter....
> found 2900 control points for structure...
> bounding box (87, 108, 49) --> (128, 142, 105)
> Right_Cerebellum_White_Matter: limiting intensities to 95.0 --> 109.0
> 30 of 93 (32.3%) samples deleted
> finding control points in Brain_Stem....
> found 3414 control points for structure...
> bounding box (112, 94, 86) --> (142, 155, 116)
> Brain_Stem: limiting intensities to 91.0 --> 106.0
> 64 of 186 (34.4%) samples deleted
> using 1838 total control points for intensity normalization...
> bias field = 0.962 +- 0.069
> 0 of 1160 control points discarded
> writing normalized volume to norm.mgz...
> freeing GCA...done.
> normalization took 0 minutes and 44 seconds.
> #--------------------------------------
> #@# CA Reg Thu Feb 22 15:18:01 EST 2007
> /usr/local/bin/freesurfer/subjects/GK1/mri
>
>  mri_ca_register -align -nobigventricles -mask brainmask.mgz -T
> transforms/talairach.lta
> norm.mgz /usr/local/bin/freesurfer/average/RB_all_2006- 02-15.gca
> transforms/talairach.m3z
>
> renormalizing sequences with structure alignment, equivalent to:
>     -renormalize
>     -regularize_mean 0.500
>     -regularize 0.500
> not handling expanded ventricles...
> using MR volume brainmask.mgz to mask input volume...
> using previously computed transform transforms/talairach.lta
> reading 1 input volumes...
> logging results to talairach.log
> reading input volume 'norm.mgz '...
> reading GCA
> '/usr/local/bin/freesurfer/average/RB_all_2006-02-15.gca'...
> setting gca type = Normal gca type
> freeing gibbs priors...done.
> average std[0] = 5.0
> label assignment complete, 0 changed ( 0.00%)
> renormalizing by structure alignment....
> renormalizing input #0
> aligning Left_Pallidum...
> gca peak = 0.11705 (100)
> mri peak = 0.13848 (105)
> Left_Pallidum (13): linear fit = 0.98 x + 0.0 (433 voxels, overlap=
> 0.650)
> aligning Right_Pallidum...
> gca peak = 0.13501 (106)
> mri peak = 0.12646 (103)
> Right_Pallidum (52): linear fit = 0.98 x + 0.0 (703 voxels,
> overlap=0.936)
> aligning Right_Cerebral_White_Matter...
> gca peak = 0.05652 (116)
> mri peak = 0.07903 (114)
> Right_Cerebral_White_Matter (41): linear fit = 1.00 x + 0.0 (87439
> voxels, overlap=0.552)
> aligning Left_Cerebral_White_Matter...
> gca peak = 0.05682 (116)
> mri peak = 0.06608 (112)
> Left_Cerebral_White_Matter (2): linear fit = 1.00 x + 0.0 (98179
> voxels, overlap=0.498)
> aligning Left_Lateral_Ventricle...
> gca peak = 0.05153 (25)
> mri peak = 0.03578 (36)
> unreasonable value (46.9), not in range [ 0, 40] - rejecting
> aligning Right_Lateral_Ventricle...
> gca peak = 0.07557 (30)
> mri peak = 0.04038 (37)
> unreasonable value (46.5), not in range [ 0, 40] - rejecting
> aligning Right_Hippocampus...
> gca peak = 0.14805 (66)
> mri peak = 0.08220 (79)
> Right_Hippocampus (53): linear fit = 1.23 x + 0.0 (1589 voxels,
> overlap=0.091)
> aligning Left_Hippocampus...
> gca peak = 0.17297 (66)
> mri peak = 0.07333 (81)
> Left_Hippocampus (17): linear fit = 1.23 x + 0.0 (1080 voxels,
> overlap=0.100)
> aligning Left_Cerebral_Cortex...
> gca peak = 0.05671 (68)
> mri peak = 0.02650 (89)
> uniform distribution in MR - rejecting arbitrary fit
> aligning Right_Cerebral_Cortex...
> gca peak = 0.06581 (70)
> mri peak = 0.02773 (91)
> uniform distribution in MR - rejecting arbitrary fit
> aligning Right_Caudate...
> gca peak = 0.07786 (81)
> mri peak = 0.16928 (95)
> Right_Caudate (50): linear fit = 1.20 x + 0.0 (1008 voxels,
> overlap=0.048)
> aligning Left_Caudate...
> gca peak = 0.07814 (81)
> mri peak = 0.11708 (92)
> Left_Caudate (11): linear fit = 1.12 x + 0.0 (876 voxels,
> overlap=0.330)
> aligning Left_Cerebellum_Cortex...
> gca peak = 0.06033 (63)
> mri peak = 0.04440 (84)
> Left_Cerebellum_Cortex (8): linear fit = 1.35 x + 0.0 (34294 voxels,
> overlap=0.004)
> aligning Right_Cerebellum_Cortex...
> gca peak = 0.05990 (64)
> mri peak = 0.04660 (85)
> Right_Cerebellum_Cortex (47): linear fit = 1.33 x + 0.0 (40922 voxels,
> overlap=0.022)
> aligning Left_Cerebellum_White_Matter...
> gca peak = 0.09299 (92)
> mri peak = 0.09884 (97)
> Left_Cerebellum_White_Matter (7): linear fit = 1.08 x + 0.0 (7197
> voxels, overlap=0.337)
> aligning Right_Cerebellum_White_Matter...
> gca peak = 0.08899 (93)
> mri peak = 0.10077 (95)
> Right_Cerebellum_White_Matter (46): linear fit = 1.05 x + 0.0 (9203
> voxels, overlap= 0.538)
> aligning Left_Amygdala...
> gca peak = 0.13911 (71)
> mri peak = 0.13021 (81)
> Left_Amygdala (18): linear fit = 1.15 x + 0.0 (466 voxels,
> overlap=0.093)
> aligning Right_Amygdala...
> gca peak = 0.15703 (65)
> mri peak = 0.07413 (82)
> Right_Amygdala (54): linear fit = 1.27 x + 0.0 (621 voxels,
> overlap=0.009)
> aligning Left_Thalamus_Proper...
> gca peak = 0.06537 (100)
> mri peak = 0.11424 (101)
> Left_Thalamus_Proper (10): linear fit = 0.98 x + 0.0 (3570 voxels,
> overlap=0.500)
> aligning Right_Thalamus_Proper...
> gca peak = 0.07019 (99)
> mri peak = 0.09504 (98)
> Right_Thalamus_Proper (49): linear fit = 0.98 x + 0.0 (3540 voxels,
> overlap=0.526)
> aligning Left_Putamen...
> gca peak = 0.09468 (90)
> mri peak = 0.11889 (97)
> Left_Putamen (12): linear fit = 1.08 x + 0.0 (2476 voxels,
> overlap=0.278)
> aligning Right_Putamen...
> gca peak = 0.07184 (82)
> mri peak = 0.10599 (95)
> Right_Putamen (51): linear fit = 1.08 x + 0.0 (2916 voxels,
> overlap=0.391)
> aligning Brain_Stem...
> gca peak = 0.05597 (80)
> mri peak = 0.09565 (93)
> Brain_Stem (16): linear fit = 1.00 x + 0.0 (14224 voxels, overlap=
> 0.438)
> aligning Right_VentralDC...
> gca peak = 0.05879 (97)
> mri peak = 0.08609 (102)
> Right_VentralDC (60): linear fit = 1.00 x + 0.0 (2104 voxels,
> overlap=0.454)
> aligning Left_VentralDC...
> gca peak = 0.06932 (98)
> mri peak = 0.10655 (100)
> Left_VentralDC (28): linear fit = 0.95 x + 0.0 (1910 voxels,
> overlap=0.480)
> aligning Third_Ventricle...
> gca peak = 0.10105 (38)
> mri peak = 0.07224 (35)
> unreasonable value ( 47.5), not in range [ 0, 40] - rejecting
> aligning Fourth_Ventricle...
> gca peak = 0.10426 (32)
> mri peak = 0.11254 (32)
> not using caudate to estimate GM means
> Fourth_Ventricle (15): linear fit = 1.12 x + 0.0 (847 voxels, overlap=
> 0.417)
> estimating mean gm scale to be 1.22 x + 0.0
> estimating mean wm scale to be 1.00 x + 0.0
> estimating mean csf scale to be 1.12 x + 0.0
> 22 transforms computed
> 0000: dt=0.000000, rms=0.793 (0.168%), neg=0, invalid=1511, LIN
> 0001: dt=0.000000, rms=0.793 (0.017%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0002: dt=0.000000, rms=0.793 (-0.154%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0004: dt=0.000000 , rms=0.793 (-0.176%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0006: dt=0.000000, rms=0.789 (-0.250%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0008: dt=0.000000, rms=0.789 (-0.236% ), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0010: dt=0.000000, rms=0.789 (-0.226%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0012: dt=0.000000, rms=0.787 (-0.184%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0014: dt=0.000000, rms=0.787 (-0.180%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0016: dt=0.000000, rms=0.787 (-0.171%), neg=0, invalid=1511, LIN
> rms increased - undoing step...
> 0018: dt=0.000000, rms=0.787 (-0.169%), neg=0, invalid=1511, LIN
> label assignment complete, 0 changed (0.00%)
> **************** pass 1 of 1 ************************
> setting smoothness coefficient to 0.01
> blurring input image with Gaussian with sigma= 2.000...
> 0000: dt=0.000, rms=0.782, neg=0, invalid=1511
> 0021: dt=185.732255, rms=0.718 (8.200%), neg=0, invalid=1511
> 0022: dt=197.104294, rms=0.696 (3.066%), neg=0, invalid=1511
> 0023: dt=113.120000, rms=0.686 ( 1.357%), neg=0, invalid=1511
> 0024: dt=443.904007, rms=0.674 (1.792%), neg=0, invalid=1511
> 0025: dt=84.339726, rms=0.668 (0.793%), neg=0, invalid=1511
> 0026: dt=517.888008, rms=0.663 (0.805%), neg=0, invalid=1511
> 0027: dt=129.472002, rms=0.660 (0.444%), neg=0, invalid=1511
> 0028: dt=110.976002, rms=0.660 (0.072%), neg=0, invalid=1511
> 0029: dt=887.808013, rms=0.654 (0.900%), neg=0, invalid=1511
> 0030: dt=80.000000, rms=0.653 (0.182%), neg=0, invalid=1511
> 0031: dt=517.888008, rms=0.651 (0.166%), neg=0, invalid=1511
> 0032: dt=129.472002, rms=0.649 (0.329%), neg=0, invalid=1511
> 0033: dt=32.368000, rms=0.649 (0.004%), neg=0, invalid=1511
> 0034: dt=32.368000, rms=0.649 (0.005%), neg=0, invalid=1511
> 0035: dt=32.368000, rms=0.649 (0.010%), neg=0, invalid=1511
> 0036: dt=32.368000, rms=0.649 (0.024%), neg=0, invalid=1511
> 0037: dt=32.368000, rms=0.649 (0.053%), neg=0, invalid=1511
> 0038: dt=32.368000, rms=0.648 (0.092%), neg=0, invalid=1511
> 0039: dt=32.368000, rms=0.647 (0.118%), neg=0, invalid=1511
> 0040: dt=32.368000, rms=0.647 (0.124%), neg=0, invalid=1511
> 0041: dt=32.368000, rms=0.646 (0.118%), neg=0, invalid=1511
> 0042: dt=32.368000, rms=0.645 (0.104%), neg=0, invalid=1511
> 0043: dt=32.368000, rms=0.645 (0.093%), neg=0, invalid=1511
> 0044: dt=32.368000, rms=0.644 (0.089% ), neg=0, invalid=1511
> 0045: dt=32.368000, rms=0.643 (0.095%), neg=0, invalid=1511
> 0046: dt=32.368000, rms=0.643 (0.098%), neg=0, invalid=1511
> 0047: dt=32.368000, rms=0.642 (0.104%), neg=0, invalid=1511
> 0048: dt= 32.368000, rms=0.641 (0.110%), neg=0, invalid=1511
> 0049: dt=32.368000, rms=0.641 (0.109%), neg=0, invalid=1511
> 0050: dt=32.368000, rms=0.640 (0.101%), neg=0, invalid=1511
> 0051: dt=32.368000, rms=0.639 (0.089%), neg=0, invalid=1511
> 0052: dt=32.368000, rms=0.639 (0.078%), neg=0, invalid=1511
> 0053: dt=32.368000, rms=0.638 (0.074%), neg=0, invalid=1511
> 0054: dt=32.368000, rms=0.638 (0.067%), neg=0, invalid=1511
> 0055: dt=32.368000, rms=0.638 (0.063%), neg=0, invalid=1511
> 0056: dt=32.368000, rms=0.637 (0.063%), neg=0, invalid=1511
> 0057: dt=32.368000, rms=0.637 (0.075%), neg=0, invalid=1511
> 0058: dt=32.368000, rms=0.636 (0.084%), neg=0, invalid=1511
> 0059: dt=32.368000, rms=0.636 (0.085%), neg=0, invalid=1511
> 0060: dt=32.368000, rms=0.635 (0.077%), neg=0, invalid=1511
> 0061: dt=32.368000, rms=0.635 (0.071%), neg=0, invalid=1511
> 0062: dt=32.368000, rms=0.634 (0.059% ), neg=0, invalid=1511
> 0063: dt=32.368000, rms=0.634 (0.057%), neg=0, invalid=1511
> 0064: dt=32.368000, rms=0.634 (0.051%), neg=0, invalid=1511
> 0065: dt=32.368000, rms=0.633 (0.048%), neg=0, invalid=1511
> 0066: dt= 32.368000, rms=0.633 (0.048%), neg=0, invalid=1511
> 0067: dt=32.368000, rms=0.633 (0.046%), neg=0, invalid=1511
> 0068: dt=32.368000, rms=0.632 (0.045%), neg=0, invalid=1511
> 0069: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511
> 0070: dt=32.368000, rms=0.632 (0.049%), neg=0, invalid=1511
> 0071: dt=32.368000, rms=0.632 (0.048%), neg=0, invalid=1511
> 0072: dt=32.368000, rms=0.631 (0.047%), neg=0, invalid=1511
> 0073: dt=32.368000, rms=0.631 (0.045%), neg=0, invalid=1511
> 0074: dt=32.368000, rms=0.631 (0.043%), neg=0, invalid=1511
> 0075: dt=32.368000, rms=0.630 (0.039%), neg=0, invalid=1511
> 0076: dt=32.368000, rms=0.630 (0.034%), neg=0, invalid=1511
> 0077: dt=32.368000, rms=0.630 (0.030%), neg=0, invalid=1511
> 0078: dt=32.368000, rms=0.630 (0.027%), neg=0, invalid=1511
> 0079: dt=32.368000, rms=0.630 (0.025%), neg=0, invalid=1511
> 0080: dt=32.368000, rms=0.630 (0.027% ), neg=0, invalid=1511
> 0081: dt=32.368000, rms=0.629 (0.032%), neg=0, invalid=1511
> 0082: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511
> 0083: dt=32.368000, rms=0.629 (0.034%), neg=0, invalid=1511
> 0084: dt= 32.368000, rms=0.629 (0.032%), neg=0, invalid=1511
> 0085: dt=32.368000, rms=0.629 (0.027%), neg=0, invalid=1511
> 0086: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511
> 0087: dt=32.368000, rms=0.628 (0.026%), neg=0, invalid=1511
> 0088: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511
> 0089: dt=32.368000, rms=0.628 (0.027%), neg=0, invalid=1511
> 0090: dt=32.368000, rms=0.628 (0.028%), neg=0, invalid=1511
> 0091: dt=32.368000, rms=0.628 (0.029%), neg=0, invalid=1511
> 0092: dt=32.368000, rms=0.627 (0.030%), neg=0, invalid=1511
> 0093: dt=32.368000, rms=0.627 (0.022%), neg=0, invalid=1511
> 0094: dt=32.368000, rms=0.627 (0.016%), neg=0, invalid=1511
> 0095: dt=3551.232053, rms=0.626 (0.239%), neg=0, invalid=1511
> 0096: dt=32.368000, rms=0.626 (0.015%), neg=0, invalid=1511
> 0097: dt=32.368000, rms=0.625 (0.005%), neg=0, invalid=1511
> 0098: dt=32.368000, rms=0.625 (- 0.010%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.625, neg=0, invalid=1511
> 0099: dt=129.472002, rms=0.623 (0.348%), neg=0, invalid=1511
> 0100: dt=221.952003 , rms=0.623 (0.107%), neg=0, invalid=1511
> 0101: dt=129.472002, rms=0.622 (0.101%), neg=0, invalid=1511
> 0102: dt=295.936004, rms=0.622 (0.056%), neg=0, invalid=1511
> 0103: dt=129.472002, rms=0.621 (0.072%), neg=0, invalid=1511
> 0104: dt=73.984001, rms=0.621 (0.007%), neg=0, invalid=1511
> 0105: dt=73.984001, rms=0.621 (0.013%), neg=0, invalid=1511
> 0106: dt=73.984001, rms=0.621 (0.023%), neg=0, invalid=1511
> 0107: dt=73.984001, rms=0.621 (0.036%), neg=0, invalid=1511
> 0108: dt=73.984001, rms=0.620 (0.046%), neg=0, invalid=1511
> 0109: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511
> 0110: dt=73.984001, rms=0.620 (0.049%), neg=0, invalid=1511
> 0111: dt=73.984001, rms=0.620 (0.047%), neg=0, invalid=1511
> 0112: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511
> 0113: dt=73.984001, rms=0.619 (0.044%), neg=0, invalid=1511
> 0114: dt=73.984001, rms=0.619 (0.047% ), neg=0, invalid=1511
> 0115: dt=73.984001, rms=0.618 (0.047%), neg=0, invalid=1511
> 0116: dt=73.984001, rms=0.618 (0.051%), neg=0, invalid=1511
> 0117: dt=73.984001, rms=0.618 (0.052%), neg=0, invalid=1511
> 0118: dt= 73.984001, rms=0.617 (0.048%), neg=0, invalid=1511
> 0119: dt=73.984001, rms=0.617 (0.042%), neg=0, invalid=1511
> 0120: dt=73.984001, rms=0.617 (0.041%), neg=0, invalid=1511
> 0121: dt=73.984001, rms=0.617 (0.037%), neg=0, invalid=1511
> 0122: dt=73.984001, rms=0.617 (0.034%), neg=0, invalid=1511
> 0123: dt=73.984001, rms=0.616 (0.038%), neg=0, invalid=1511
> 0124: dt=73.984001, rms=0.616 (0.037%), neg=0, invalid=1511
> 0125: dt=73.984001, rms=0.616 (0.040%), neg=0, invalid=1511
> 0126: dt=73.984001, rms=0.616 (0.041%), neg=0, invalid=1511
> 0127: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511
> 0128: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511
> 0129: dt=73.984001, rms=0.615 (0.035%), neg=0, invalid=1511
> 0130: dt=73.984001, rms=0.615 (0.037%), neg=0, invalid=1511
> 0131: dt=73.984001, rms=0.614 (0.035%), neg=0, invalid=1511
> 0132: dt=73.984001, rms=0.614 (0.031% ), neg=0, invalid=1511
> 0133: dt=73.984001, rms=0.614 (0.029%), neg=0, invalid=1511
> 0134: dt=73.984001, rms=0.614 (0.031%), neg=0, invalid=1511
> 0135: dt=73.984001, rms=0.614 (0.032%), neg=0, invalid=1511
> 0136: dt= 73.984001, rms=0.614 (0.027%), neg=0, invalid=1511
> 0137: dt=73.984001, rms=0.613 (0.020%), neg=0, invalid=1511
> 0138: dt=73.984001, rms=0.613 (0.027%), neg=0, invalid=1511
> 0139: dt=73.984001, rms=0.613 (0.028%), neg=0, invalid=1511
> 0140: dt=73.984001, rms=0.613 (0.031%), neg=0, invalid=1511
> 0141: dt=73.984001, rms=0.613 (0.034%), neg=0, invalid=1511
> 0142: dt=73.984001, rms=0.613 (0.024%), neg=0, invalid=1511
> 0143: dt=73.984001, rms=0.612 (0.020%), neg=0, invalid=1511
> 0144: dt=369.920006, rms=0.612 (0.023%), neg=0, invalid=1511
> 0145: dt=32.368000, rms=0.612 (0.002%), neg=0, invalid=1511
> 0146: dt=32.368000, rms=0.612 (-0.002%), neg=0, invalid=1511
> setting smoothness coefficient to 0.03
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.614, neg=0, invalid=1511
> 0147: dt=29.460317, rms=0.613 (0.119%), neg=0, invalid=1511
> 0148: dt= 70.660633, rms=0.612 (0.163%), neg=0, invalid=1511
> 0149: dt=331.776005, rms=0.606 (0.988%), neg=0, invalid=1511
> 0150: dt=39.529412, rms=0.604 (0.369%), neg=0, invalid=1511
> 0151: dt=145.152002, rms=0.601 (0.532%), neg=0, invalid=1511
> 0152: dt=41.882353, rms=0.599 (0.274%), neg=0, invalid=1511
> 0153: dt=89.854305, rms=0.598 (0.199%), neg=0, invalid=1511
> 0154: dt=42.400000, rms=0.597 (0.167%), neg=0, invalid=1511
> 0155: dt=91.586207, rms=0.596 (0.155%), neg=0, invalid=1511
> 0156: dt=42.378378, rms=0.595 (0.152%), neg=0, invalid=1511
> 0157: dt=74.507463, rms=0.595 (0.115%), neg=0, invalid=1511
> 0158: dt=48.000000, rms=0.594 (0.124%), neg=0, invalid=1511
> 0159: dt=61.866667, rms=0.593 (0.114%), neg=0, invalid=1511
> 0160: dt=48.000000, rms=0.593 (0.098%), neg=0, invalid=1511
> 0161: dt=66.666667, rms=0.592 (0.092%), neg=0, invalid=1511
> 0162: dt=39.225806, rms=0.591 (0.111% ), neg=0, invalid=1511
> 0163: dt=82.944001, rms=0.591 (0.088%), neg=0, invalid=1511
> 0164: dt=45.913043, rms=0.590 (0.121%), neg=0, invalid=1511
> 0165: dt=73.600000, rms=0.590 (0.080%), neg=0, invalid=1511
> 0166: dt= 36.288001, rms=0.589 (0.097%), neg=0, invalid=1511
> 0167: dt=124.416002, rms=0.588 (0.140%), neg=0, invalid=1511
> 0168: dt=25.920000, rms=0.588 (0.089%), neg=0, invalid=1511
> 0169: dt=580.608009, rms=0.585 (0.512%), neg=0, invalid=1511
> 0170: dt=34.051282, rms=0.583 (0.222%), neg=0, invalid=1511
> 0171: dt=37.333333, rms=0.583 (0.039%), neg=0, invalid=1511
> 0172: dt=37.333333, rms=0.583 (0.068%), neg=0, invalid=1511
> 0173: dt=37.333333, rms=0.582 (0.065%), neg=0, invalid=1511
> 0174: dt=37.333333, rms=0.582 (0.083%), neg=0, invalid=1511
> 0175: dt=37.333333, rms=0.581 (0.103%), neg=0, invalid=1511
> 0176: dt=37.333333, rms=0.580 (0.148%), neg=0, invalid=1511
> 0177: dt=37.333333, rms=0.579 (0.163%), neg=0, invalid=1511
> 0178: dt=37.333333, rms=0.579 (0.161%), neg=0, invalid=1511
> 0179: dt=37.333333, rms=0.578 (0.152%), neg=0, invalid=1511
> 0180: dt=37.333333, rms=0.577 (0.159% ), neg=0, invalid=1511
> 0181: dt=37.333333, rms=0.576 (0.169%), neg=0, invalid=1511
> 0182: dt=37.333333, rms=0.575 (0.172%), neg=0, invalid=1511
> 0183: dt=37.333333, rms=0.574 (0.158%), neg=0, invalid=1511
> 0184: dt= 37.333333, rms=0.573 (0.143%), neg=0, invalid=1511
> 0185: dt=37.333333, rms=0.572 (0.125%), neg=0, invalid=1511
> 0186: dt=37.333333, rms=0.572 (0.111%), neg=0, invalid=1511
> 0187: dt=37.333333, rms=0.571 (0.122%), neg=0, invalid=1511
> 0188: dt=37.333333, rms=0.570 (0.108%), neg=0, invalid=1511
> 0189: dt=37.333333, rms=0.570 (0.115%), neg=0, invalid=1511
> 0190: dt=37.333333, rms=0.569 (0.114%), neg=0, invalid=1511
> 0191: dt=37.333333, rms=0.568 (0.112%), neg=0, invalid=1511
> 0192: dt=37.333333, rms=0.568 (0.122%), neg=0, invalid=1511
> 0193: dt=37.333333, rms=0.567 (0.096%), neg=0, invalid=1511
> 0194: dt=37.333333, rms=0.567 (0.076%), neg=0, invalid=1511
> 0195: dt=37.333333, rms=0.566 (0.080%), neg=0, invalid=1511
> 0196: dt=37.333333, rms=0.566 (0.096%), neg=0, invalid=1511
> 0197: dt=37.333333, rms=0.565 (0.089%), neg=0, invalid=1511
> 0198: dt=37.333333, rms=0.565 (0.092% ), neg=0, invalid=1511
> 0199: dt=37.333333, rms=0.564 (0.087%), neg=0, invalid=1511
> 0200: dt=37.333333, rms=0.564 (0.073%), neg=0, invalid=1511
> 0201: dt=37.333333, rms=0.563 (0.071%), neg=0, invalid=1511
> 0202: dt= 37.333333, rms=0.563 (0.086%), neg=0, invalid=1511
> 0203: dt=37.333333, rms=0.563 (0.086%), neg=0, invalid=1511
> 0204: dt=37.333333, rms=0.562 (0.063%), neg=0, invalid=1511
> 0205: dt=37.333333, rms=0.562 (0.044%), neg=0, invalid=1511
> 0206: dt=37.333333, rms=0.562 (0.061%), neg=0, invalid=1511
> 0207: dt=37.333333, rms=0.561 (0.063%), neg=0, invalid=1511
> 0208: dt=37.333333, rms=0.561 (0.067%), neg=0, invalid=1511
> 0209: dt=37.333333, rms=0.560 (0.071%), neg=0, invalid=1511
> 0210: dt=37.333333, rms=0.560 (0.054%), neg=0, invalid=1511
> 0211: dt=37.333333, rms=0.560 (0.043%), neg=0, invalid=1511
> 0212: dt=37.333333, rms=0.560 (0.039%), neg=0, invalid=1511
> 0213: dt=37.333333, rms=0.559 (0.043%), neg=0, invalid=1511
> 0214: dt=37.333333, rms=0.559 (0.046%), neg=0, invalid=1511
> 0215: dt=37.333333, rms=0.559 (0.039%), neg=0, invalid=1511
> 0216: dt=37.333333, rms=0.559 (0.043% ), neg=0, invalid=1511
> 0217: dt=37.333333, rms=0.558 (0.052%), neg=0, invalid=1511
> 0218: dt=37.333333, rms=0.558 (0.043%), neg=0, invalid=1511
> 0219: dt=37.333333, rms=0.558 (0.021%), neg=0, invalid=1511
> 0220: dt= 37.333333, rms=0.558 (0.019%), neg=0, invalid=1511
> 0221: dt=248.832004, rms=0.558 (0.064%), neg=0, invalid=1511
> 0222: dt=1.944000, rms=0.558 (0.001%), neg=0, invalid=1511
> 0223: dt=1.944000, rms=0.558 (-0.000%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.558, neg=0, invalid=1511
> 0224: dt=109.782772, rms=0.555 (0.541%), neg=0, invalid=1511
> 0225: dt=41.846154, rms=0.553 (0.217%), neg=0, invalid=1511
> 0226: dt=74.666667, rms=0.553 (0.115%), neg=0, invalid=1511
> 0227: dt=36.288001, rms=0.552 (0.079%), neg=0, invalid=1511
> 0228: dt=145.152002, rms=0.551 (0.155%), neg=0, invalid=1511
> 0229: dt=36.288001, rms=0.551 (0.059%), neg=0, invalid=1511
> 0230: dt=145.152002, rms=0.550 (0.121%), neg=0, invalid=1511
> 0231: dt=25.920000, rms=0.550 (0.023%), neg=0, invalid=1511
> 0232: dt=25.920000, rms=0.550 (0.022%), neg=0, invalid=1511
> 0233: dt=25.920000, rms=0.550 (0.035%), neg=0, invalid=1511
> 0234: dt=25.920000, rms=0.550 (0.048%), neg=0, invalid=1511
> 0235: dt=25.920000, rms=0.549 (0.054%), neg=0, invalid=1511
> 0236: dt=25.920000, rms=0.549 (0.063% ), neg=0, invalid=1511
> 0237: dt=25.920000, rms=0.549 (0.070%), neg=0, invalid=1511
> 0238: dt=25.920000, rms=0.548 (0.074%), neg=0, invalid=1511
> 0239: dt=25.920000, rms=0.548 (0.078%), neg=0, invalid=1511
> 0240: dt= 25.920000, rms=0.548 (0.070%), neg=0, invalid=1511
> 0241: dt=25.920000, rms=0.547 (0.068%), neg=0, invalid=1511
> 0242: dt=25.920000, rms=0.547 (0.061%), neg=0, invalid=1511
> 0243: dt=25.920000, rms=0.547 (0.055%), neg=0, invalid=1511
> 0244: dt=25.920000, rms=0.546 (0.061%), neg=0, invalid=1511
> 0245: dt=25.920000, rms=0.546 (0.060%), neg=0, invalid=1511
> 0246: dt=25.920000, rms=0.546 (0.054%), neg=0, invalid=1511
> 0247: dt=25.920000, rms=0.545 (0.048%), neg=0, invalid=1511
> 0248: dt=25.920000, rms=0.545 (0.042%), neg=0, invalid=1511
> 0249: dt=25.920000, rms=0.545 (0.043%), neg=0, invalid=1511
> 0250: dt=25.920000, rms=0.545 (0.046%), neg=0, invalid=1511
> 0251: dt=25.920000, rms=0.544 (0.049%), neg=0, invalid=1511
> 0252: dt=25.920000, rms=0.544 (0.047%), neg=0, invalid=1511
> 0253: dt=25.920000, rms=0.544 (0.038%), neg=0, invalid=1511
> 0254: dt=25.920000, rms=0.544 (0.037% ), neg=0, invalid=1511
> 0255: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511
> 0256: dt=25.920000, rms=0.543 (0.035%), neg=0, invalid=1511
> 0257: dt=25.920000, rms=0.543 (0.030%), neg=0, invalid=1511
> 0258: dt= 25.920000, rms=0.543 (0.031%), neg=0, invalid=1511
> 0259: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511
> 0260: dt=25.920000, rms=0.543 (0.038%), neg=0, invalid=1511
> 0261: dt=25.920000, rms=0.542 (0.031%), neg=0, invalid=1511
> 0262: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511
> 0263: dt=25.920000, rms=0.542 (0.029%), neg=0, invalid=1511
> 0264: dt=25.920000, rms=0.542 (0.032%), neg=0, invalid=1511
> 0265: dt=25.920000, rms=0.542 (0.030%), neg=0, invalid=1511
> 0266: dt=25.920000, rms=0.542 (0.034%), neg=0, invalid=1511
> 0267: dt=25.920000, rms=0.541 (0.025%), neg=0, invalid=1511
> 0268: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511
> 0269: dt=25.920000, rms=0.541 (0.023%), neg=0, invalid=1511
> 0270: dt=25.920000, rms=0.541 (0.032%), neg=0, invalid=1511
> 0271: dt=25.920000, rms=0.541 (0.030%), neg=0, invalid=1511
> 0272: dt=25.920000, rms=0.541 (0.024% ), neg=0, invalid=1511
> 0273: dt=25.920000, rms=0.541 (0.022%), neg=0, invalid=1511
> 0274: dt=103.680002, rms=0.540 (0.007%), neg=0, invalid=1511
> 0275: dt=103.680002, rms=0.540 (0.008%), neg=0, invalid=1511
> 0276: dt= 103.680002, rms=0.540 (-0.067%), neg=0, invalid=1511
> setting smoothness coefficient to 0.12
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.552, neg=0, invalid=1511
> 0277: dt=8.851064 , rms=0.551 (0.074%), neg=0, invalid=1511
> 0278: dt=8.000000, rms=0.551 (0.024%), neg=0, invalid=1511
> 0279: dt=8.000000, rms=0.551 (0.016%), neg=0, invalid=1511
> 0280: dt=8.000000, rms=0.551 (-0.007%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.551, neg=0, invalid=1511
> 0281: dt=52.411523, rms=0.546 (0.892%), neg=0, invalid=1511
> 0282: dt=18.418605, rms=0.544 (0.328%), neg=0, invalid=1511
> 0283: dt=33.446328, rms=0.543 (0.317%), neg=0, invalid=1511
> 0284: dt=12.745763, rms=0.542 (0.188%), neg=0, invalid=1511
> 0285: dt=62.745098, rms=0.540 (0.347%), neg=0, invalid=1511
> 0286: dt=21.034268, rms=0.538 (0.259%), neg=0, invalid=1511
> 0287: dt=19.200000, rms=0.537 (0.248%), neg=0, invalid=1511
> 0288: dt=11.200000, rms=0.537 (0.075%), neg=0, invalid=1511
> 0289: dt=128.000002, rms=0.534 (0.491%), neg=0, invalid=1511
> 0290: dt=16.000000, rms=0.533 (0.150%), neg=0, invalid=1511
> 0291: dt=39.360000, rms=0.532 (0.244%), neg=0, invalid=1511
> 0292: dt=15.703704, rms=0.531 (0.146%), neg=0, invalid=1511
> 0293: dt=44.800001, rms=0.530 (0.195% ), neg=0, invalid=1511
> 0294: dt=11.466667, rms=0.530 (0.090%), neg=0, invalid=1511
> 0295: dt=179.200003, rms=0.527 (0.478%), neg=0, invalid=1511
> 0296: dt=19.047619, rms=0.526 (0.124%), neg=0, invalid=1511
> 0297: dt= 31.020408, rms=0.525 (0.161%), neg=0, invalid=1511
> 0298: dt=15.000000, rms=0.525 (0.101%), neg=0, invalid=1511
> 0299: dt=20.740741, rms=0.525 (0.049%), neg=0, invalid=1511
> 0300: dt=20.740741, rms=0.525 (0.031%), neg=0, invalid=1511
> 0301: dt=20.740741, rms=0.524 (0.144%), neg=0, invalid=1511
> 0302: dt=20.740741, rms=0.523 (0.121%), neg=0, invalid=1511
> 0303: dt=20.740741, rms=0.522 (0.182%), neg=0, invalid=1511
> 0304: dt=20.740741, rms=0.521 (0.164%), neg=0, invalid=1511
> 0305: dt=20.740741, rms=0.520 (0.222%), neg=0, invalid=1511
> 0306: dt=20.740741, rms=0.519 (0.232%), neg=0, invalid=1511
> 0307: dt=20.740741, rms=0.518 (0.170%), neg=0, invalid=1511
> 0308: dt=20.740741, rms=0.517 (0.216%), neg=0, invalid=1511
> 0309: dt=20.740741, rms=0.516 (0.232%), neg=0, invalid=1511
> 0310: dt=20.740741, rms=0.515 (0.160%), neg=0, invalid=1511
> 0311: dt=20.740741, rms=0.514 (0.194% ), neg=0, invalid=1511
> 0312: dt=20.740741, rms=0.513 (0.186%), neg=0, invalid=1511
> 0313: dt=20.740741, rms=0.512 (0.119%), neg=0, invalid=1511
> 0314: dt=20.740741, rms=0.511 (0.183%), neg=0, invalid=1511
> 0315: dt= 20.740741, rms=0.511 (0.149%), neg=0, invalid=1511
> 0316: dt=20.740741, rms=0.510 (0.095%), neg=0, invalid=1511
> 0317: dt=20.740741, rms=0.510 (0.133%), neg=0, invalid=1511
> 0318: dt=20.740741, rms=0.509 (0.108%), neg=0, invalid=1511
> 0319: dt=20.740741, rms=0.509 (0.072%), neg=0, invalid=1511
> 0320: dt=20.740741, rms=0.508 (0.100%), neg=0, invalid=1511
> 0321: dt=20.740741, rms=0.508 (0.064%), neg=0, invalid=1511
> 0322: dt=20.740741, rms=0.507 (0.061%), neg=0, invalid=1511
> 0323: dt=20.740741, rms=0.507 (0.079%), neg=0, invalid=1511
> 0324: dt=20.740741, rms=0.507 (0.047%), neg=0, invalid=1511
> 0325: dt=20.740741, rms=0.507 (0.056%), neg=0, invalid=1511
> 0326: dt=20.740741, rms=0.506 (0.068%), neg=0, invalid=1511
> 0327: dt=20.740741, rms=0.506 (0.044%), neg=0, invalid=1511
> 0328: dt=20.740741, rms=0.506 (0.049%), neg=0, invalid=1511
> 0329: dt=20.740741, rms=0.506 (0.040% ), neg=0, invalid=1511
> 0330: dt=20.740741, rms=0.505 (0.035%), neg=0, invalid=1511
> 0331: dt=20.740741, rms=0.505 (0.062%), neg=0, invalid=1511
> 0332: dt=20.740741, rms=0.505 (0.048%), neg=0, invalid=1511
> 0333: dt= 20.740741, rms=0.505 (0.034%), neg=0, invalid=1511
> 0334: dt=20.740741, rms=0.504 (0.054%), neg=0, invalid=1511
> 0335: dt=20.740741, rms=0.504 (0.021%), neg=0, invalid=1511
> 0336: dt=20.740741, rms=0.504 (0.044%), neg=0, invalid=1511
> 0337: dt=20.740741, rms=0.504 (0.033%), neg=0, invalid=1511
> 0338: dt=20.740741, rms=0.504 (0.018%), neg=0, invalid=1511
> 0339: dt=20.740741, rms=0.504 (0.035%), neg=0, invalid=1511
> 0340: dt=20.740741, rms=0.503 (0.030%), neg=0, invalid=1511
> 0341: dt=20.740741, rms=0.503 (0.022%), neg=0, invalid=1511
> 0342: dt=20.740741, rms=0.503 (0.043%), neg=0, invalid=1511
> 0343: dt=20.740741, rms=0.503 (0.020%), neg=0, invalid=1511
> 0344: dt=20.740741, rms=0.503 (0.025%), neg=0, invalid=1511
> 0345: dt=20.740741, rms=0.503 (0.032%), neg=0, invalid=1511
> 0346: dt=20.740741, rms=0.503 (0.010%), neg=0, invalid=1511
> 0347: dt=20.740741, rms=0.503 (0.009% ), neg=0, invalid=1511
> 0348: dt=14.400000, rms=0.503 (0.020%), neg=0, invalid=1511
> 0349: dt=6.400000, rms=0.503 (0.005%), neg=0, invalid=1511
> 0350: dt=6.400000, rms=0.502 (0.003%), neg=0, invalid=1511
> 0351: dt= 6.400000, rms=0.502 (0.002%), neg=0, invalid=1511
> 0352: dt=6.400000, rms=0.502 (0.004%), neg=0, invalid=1511
> 0353: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511
> 0354: dt=6.400000, rms=0.502 (0.006%), neg=0, invalid=1511
> setting smoothness coefficient to 0.40
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.525, neg=0, invalid=1511
> 0355: dt=0.000000, rms=0.525 (-0.001%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma= 0.500...
> 0000: dt=0.000, rms=0.525, neg=0, invalid=1511
> 0356: dt=0.000000, rms=0.525 (0.000%), neg=0, invalid=1511
> setting smoothness coefficient to 1.00
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.571, neg=0, invalid=1511
> 0357: dt=1.096026, rms=0.568 (0.531%), neg=0, invalid=1511
> 0358: dt=0.256000, rms=0.568 (0.012%), neg=0, invalid=1511
> 0359: dt=0.256000, rms=0.568 (-0.010%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.568, neg=0, invalid=1511
> 0360: dt=0.820896, rms=0.567 (0.131%), neg=0, invalid=1511
> 0361: dt=0.256000, rms=0.567 (0.007%), neg=0, invalid=1511
> 0362: dt=0.256000, rms=0.567 (-0.004%), neg=0, invalid=1511
> resetting metric properties...
> setting smoothness coefficient to 2.00
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms= 0.512, neg=0, invalid=1511
> 0363: dt=0.448000, rms=0.497 (2.912%), neg=0, invalid=1511
> 0364: dt=0.448000, rms=0.495 (0.412%), neg=0, invalid=1511
> 0365: dt=0.448000, rms=0.493 (0.311%), neg=0, invalid=1511
> 0366: dt= 0.320000, rms=0.493 (0.134%), neg=0, invalid=1511
> 0367: dt=0.028000, rms=0.493 (0.009%), neg=0, invalid=1511
> 0368: dt=0.028000, rms=0.493 (0.010%), neg=0, invalid=1511
> 0369: dt=0.028000, rms=0.493 (0.017%), neg=0, invalid=1511
> 0370: dt=0.028000, rms=0.492 (0.024%), neg=0, invalid=1511
> 0371: dt=0.028000, rms=0.492 (0.031%), neg=0, invalid=1511
> 0372: dt=0.028000, rms=0.492 (0.035%), neg=0, invalid=1511
> 0373: dt=0.028000, rms=0.492 (0.039% ), neg=0, invalid=1511
> 0374: dt=0.028000, rms=0.492 (0.042%), neg=0, invalid=1511
> 0375: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511
> 0376: dt=0.028000, rms=0.491 (0.043%), neg=0, invalid=1511
> 0377: dt= 0.028000, rms=0.491 (0.042%), neg=0, invalid=1511
> 0378: dt=0.028000, rms=0.491 (0.042%), neg=0, invalid=1511
> 0379: dt=0.028000, rms=0.491 (0.040%), neg=0, invalid=1511
> 0380: dt=0.028000, rms=0.490 (0.040%), neg=0, invalid=1511
> 0381: dt=0.028000, rms=0.490 (0.035%), neg=0, invalid=1511
> 0382: dt=0.028000, rms=0.490 (0.034%), neg=0, invalid=1511
> 0383: dt=0.028000, rms=0.490 (0.029%), neg=0, invalid=1511
> 0384: dt=0.028000, rms=0.490 (0.029% ), neg=0, invalid=1511
> 0385: dt=0.028000, rms=0.490 (0.026%), neg=0, invalid=1511
> 0386: dt=0.028000, rms=0.490 (0.023%), neg=0, invalid=1511
> 0387: dt=0.028000, rms=0.489 (0.020%), neg=0, invalid=1511
> 0388: dt= 0.000015, rms=0.489 (-0.001%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.489, neg=0, invalid=1511
> 0389: dt=0.448000, rms=0.483 (1.320%), neg=0, invalid=1511
> 0390: dt=0.320000, rms=0.483 (0.058%), neg=0, invalid=1511
> 0391: dt=0.031250, rms=0.483 (0.005%), neg=0, invalid=1511
> 0392: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511
> 0393: dt=0.031250, rms=0.483 (0.009% ), neg=0, invalid=1511
> 0394: dt=0.031250, rms=0.483 (0.012%), neg=0, invalid=1511
> 0395: dt=0.031250, rms=0.483 (0.004%), neg=0, invalid=1511
> 0396: dt=0.031250, rms=0.483 (0.008%), neg=0, invalid=1511
> 0397: dt= 0.031250, rms=0.482 (0.010%), neg=0, invalid=1511
> 0398: dt=0.031250, rms=0.482 (0.014%), neg=0, invalid=1511
> 0399: dt=0.031250, rms=0.482 (0.015%), neg=0, invalid=1511
> 0400: dt=0.031250, rms=0.482 (0.017%), neg=0, invalid=1511
> 0401: dt=0.015625, rms=0.482 (0.001%), neg=0, invalid=1511
> 0402: dt=0.096000, rms=0.482 (0.008%), neg=0, invalid=1511
> 0403: dt=0.020000, rms=0.482 (0.003%), neg=0, invalid=1511
> label assignment complete, 0 changed ( 0.00%)
> ***************** morphing with label term set to 0
> *******************************
> label assignment complete, 0 changed (0.00%)
> **************** pass 1 of 1 ************************
> setting smoothness coefficient to 0.01
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.480, neg=0, invalid=1511
> 0404: dt=2.023000, rms=0.480 (-0.069%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma= 0.500...
> 0000: dt=0.000, rms=0.480, neg=0, invalid=1511
> 0405: dt=129.472002, rms=0.480 (0.189%), neg=0, invalid=1511
> 0406: dt=110.976002, rms=0.479 (0.045%), neg=0, invalid=1511
> 0407: dt=110.976002, rms=0.479 ( 0.039%), neg=0, invalid=1511
> 0408: dt=110.976002, rms=0.479 (0.044%), neg=0, invalid=1511
> 0409: dt=110.976002, rms=0.479 (0.041%), neg=0, invalid=1511
> 0410: dt=110.976002, rms=0.479 (0.020%), neg=0, invalid=1511
> 0411: dt=110.976002, rms=0.479 (0.015%), neg=0, invalid=1511
> 0412: dt=129.472002, rms=0.478 (0.024%), neg=0, invalid=1511
> 0413: dt=73.984001, rms=0.478 (0.006%), neg=0, invalid=1511
> 0414: dt=73.984001, rms=0.478 ( 0.007%), neg=0, invalid=1511
> 0415: dt=73.984001, rms=0.478 (0.010%), neg=0, invalid=1511
> 0416: dt=73.984001, rms=0.478 (0.012%), neg=0, invalid=1511
> 0417: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511
> 0418: dt=73.984001, rms=0.478 (0.011%), neg=0, invalid=1511
> setting smoothness coefficient to 0.03
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.478, neg=0, invalid=1511
> 0419: dt= 0.000000, rms=0.478 (0.000%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.478, neg=0, invalid=1511
> 0420: dt=145.152002, rms=0.476 (0.360%), neg=0, invalid=1511
> 0421: dt=82.944001, rms=0.476 (0.107%), neg=0, invalid=1511
> 0422: dt=46.545455, rms=0.476 (0.067%), neg=0, invalid=1511
> 0423: dt=82.944001, rms=0.475 (0.074%), neg=0, invalid=1511
> 0424: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511
> 0425: dt=44.800000, rms=0.475 (0.046%), neg=0, invalid=1511
> 0426: dt=44.800000, rms=0.475 (0.056%), neg=0, invalid=1511
> 0427: dt=44.800000, rms=0.474 (0.077%), neg=0, invalid=1511
> 0428: dt=44.800000, rms=0.474 (0.072%), neg=0, invalid=1511
> 0429: dt=22.400000, rms=0.474 (0.019%), neg=0, invalid=1511
> 0430: dt=11.200000, rms=0.474 (0.005%), neg=0, invalid=1511
> 0431: dt=9.072000, rms=0.474 (0.004% ), neg=0, invalid=1511
> 0432: dt=1.134000, rms=0.474 (0.000%), neg=0, invalid=1511
> 0433: dt=0.567000, rms=0.474 (0.000%), neg=0, invalid=1511
> 0434: dt=0.283500, rms=0.474 (0.000%), neg=0, invalid=1511
> setting smoothness coefficient to 0.12
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.474, neg=0, invalid=1511
> 0435: dt=0.002734, rms=0.474 (0.000%), neg=0, invalid=1511
> 0436: dt=0.000488, rms=0.474 (0.000%), neg=0, invalid=1511
> 0437: dt=0.000031, rms=0.474 (0.000%), neg=0, invalid=1511
> 0438: dt=0.000015, rms=0.474 (0.000%), neg=0, invalid=1511
> 0439: dt=0.000004, rms=0.474 (-0.000%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma= 0.500...
> 0000: dt=0.000, rms=0.474, neg=0, invalid=1511
> 0440: dt=0.000000, rms=0.474 (0.000%), neg=0, invalid=1511
> setting smoothness coefficient to 0.40
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.475, neg=0, invalid=1511
> 0441: dt=0.000000, rms=0.475 (0.000%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.475, neg=0, invalid=1511
> 0442: dt= 0.000000, rms=0.475 (0.000%), neg=0, invalid=1511
> setting smoothness coefficient to 1.00
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.476, neg=0, invalid=1511
> 0443: dt=0.000000, rms= 0.476 (0.000%), neg=0, invalid=1511
> blurring input image with Gaussian with sigma=0.500...
> 0000: dt=0.000, rms=0.476, neg=0, invalid=1511
> 0444: dt=0.000000, rms=0.476 (0.000%), neg=0, invalid=1511
> resetting metric properties...
> setting smoothness coefficient to 2.00
> blurring input image with Gaussian with sigma=2.000...
> 0000: dt=0.000, rms=0.474, neg=0, invalid=1511
> 0445: dt=0.080000, rms=0.471 (0.499%), neg=0, invalid=1Segmentation
> fault
> ERROR: mri_ca_register with non-zero status
>
>
>
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