[Freesurfer] Longitudinal - varying geometries

2015-04-01 Thread Pedro Rosa - Gmail
Dear FreeSurfers,
I have read in the Mailing list 
(http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg32753.html and 
others) other users asking questioning in regard of a Warning from FreeSurfer 
5.3 longitudinal pipeline (-base step):
\n***
WARNING: Image geometries differ across time, maybe due to aquisition changes?
 This can potentially bias a longitudinal study! Will continue in 10s.
***\n
I am working in a sample with a longotudinal design which receives this warn, 
although there was no change in hardware, and (supposedly) the acquisition 
protocol was the same. As requested by Martin in former posts in the Mailing 
List, I attached the output from mri_info */rawavg.mgz.
I would like to know if these differences should be considered a bias in a 
longitudinal study and, if they should, if there is a way to fix it.
Regards,
Pedro Rosa.


baseline
Description: Binary data



fup
Description: Binary data
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Re: [Freesurfer] Fw: longitudinal statistics LGI

2015-04-01 Thread amirhossein manzouri
Hi Jorge,
Which direction does this contrast show? con  pat is redis or vice versa?
I mean how can one interpret the result?

Best regards,
Amirhossein Manzouri




On Sat, Mar 28, 2015 at 3:46 PM, jorge luis jbernal0...@yahoo.es wrote:

 Hi Amirhossein

 You need another column in your design matrix to encode the group. That
 new column is 0 for control's row and 1 for patient's rows. the contrast to
 test for population group differences is then [0 0 1].

 -Jorge

   --
  *De:* amirhossein manzouri a.h.manzo...@gmail.com
 *Para:* Freesurfer support list freesurfer@nmr.mgh.harvard.edu
 *CC:* jorge luis jbernal0...@yahoo.es
 *Enviado:* Jueves 26 de marzo de 2015 10:50
 *Asunto:* Re: [Freesurfer] Fw: longitudinal statistics LGI

 Hi Jorge,
 I have read the previous posts and applied it for my analysis which is
 longitudinal study go control and patient groups. I have a control group
 (n=19) with 2.87 ± 0.3 years time difference between scans. and patient
 group (n=16) who have 1.31 ± 0.6 years time difference. I followed your
 instructions first in each group separately , for example in control group
 I have read the data:
 1-Read your label eg.:

 *lhcortex =
 fs_read_label('freesurfer/subjects/fsaverage/label/lh.cortex.label'); *
 2-Read the data file eg.:
 *[lhY, lhmri] = fs_read_Y('lh.thickness.mgh');*

 Then X which is 38x2 double , first column is all ones and second is 0 and
 time difference every one row for each subject , so I want to see thickness
 change so I used :
 3-Fit a vertex-wise lme model with two random effects for the intercept
 term and time eg.:
 *lhstats1 = lme_mass_fit_vw(X, [1 2], lhY, ni, lhcortex);*

 Having first column as all ones and second the time difference , I made
 the contrast to look at thickness changes within group:
 *CM.C = [1 0];*

 4-Perform vertex-wise inferences  eg.:
 *F_lhstats = lme_mass_F(lhstats1, CM);*

 5-Save results eg.:
 *fs_write_fstats(F_lhstats, lhmri,' sig.mgh', 'sig'); *

 *Would you please let me know if the approach is correct ? and if I want
 to add the patient group should I do the same just change the contrast ?*

 *Best regards,*

 Best regards,
 Amirhossein Manzouri




 On Fri, Mar 13, 2015 at 5:52 PM, Jon Alan Wieser wie...@uwm.edu wrote:




  --
 *From:* Jon Alan Wieser
 *Sent:* Tuesday, December 30, 2014 8:11 PM
 *To:* jorge luis
 *Cc:* Kristin Elizabeth Maple
 *Subject:* Re: [Freesurfer] longitudinal statistics LGI

   Hi Jorge,
 Following your instructions, so far we have done the following:
 1-Read your label
 lhcortex =
 fs_read_label('freesurfer/subjects/fsaverage/label/lh.cortex.label');
 2-Read the data file
 [lhY, lhmri] = fs_read_Y('lh.thickness.mgh');
 3-Fit a vertex-wise lme model with two random effects for the intercept
 term and time eg.:
 lhstats1 = lme_mass_fit_vw(X, [1 2], lhY, ni, lhcortex);
 4-Fit a vertex-wise lme model with two random effects for the intercept
 term and cannabis use eg.:
 lhstats2 = lme_mass_fit_vw(X, [1 3], lhY, ni, lhcortex);
 lhstats3 = lme_mass_fit_vw(X, [1 2 6], lhY, ni, lhcortex);
%intercept_time_gender
 lhstats4 = lme_mass_fit_vw(X, [1 2 7], lhY, ni, lhcortex);
 %intercept_time_age
 lhstats5 = lme_mass_fit_vw(X, [1 2 3 6 ], lhY, ni, lhcortex);
  %intercept_time_cannabis_gender
 We displayed the lREML data on the surface models in matlab.  In some
 cases,(when there were 3 or more effects ( i.e. 1 2 6) )  the lreml values
 had real and imaginary values, so I displayed the ABS value  of the lreml

 We need to know the following:
 1.   How do we model this:
 Intercept, time, age, gender, Alcohol, other drugs vs.
 Intercept, time, age, Gender, Alcohol, Other drug, cannabis
 2.   Correct for multiple comparisons
 3.   Open these in Freesurfer, significance maps using tksurfer ( P 
 0.05)

 Is it only visual, or is there a significance test between the two models


 4.   How do we get a map that demonstrates the unique effect of
 cannabis
 5.   What Contrast matrix do we use for the LME_mass_F program

 Thanks
 Jon
 ​

  --
 *From:* jorge luis jbernal0...@yahoo.es
 *Sent:* Wednesday, December 17, 2014 9:25 AM
 *To:* Freesurfer support list; Jon Alan Wieser
 *Cc:* Krista Lisdahl Medina; alicia.thomas@gmail.com
 *Subject:* Re: [Freesurfer] longitudinal statistics LGI

   Hi Jon

   We recommend to order the columns of your design matrix in the
 following way: First, the intercept term (which is a column of ones);
 second, the time covariate; third, any time-varying covariates (eg.
 cannabis use); fourth, the group covariates of interest (eg. a binary
 variable indicating whether the subject is a patient or control) and their
 interactions with the time-varying covariates; finally any other nuisance
 time-invariant covariate (eg. gender). So your design matrix is comprised
 by the following columns:

   1. Intercept (a column of ones)
  2. Time since baseline
  3. cannabis use 

[Freesurfer] freesurfer pipeline for sub mm voxel resolution

2015-04-01 Thread Ritobrato Datta
Hi All,

I am working with some 7T data with 0.7 mm isotropic voxels and wanted to know 
if free surfer pipeline (version 5.3) can work these images ? 

I also have FLAIR images and wanted to know if I can use the two to create 
myelin maps ?

Please suggest.

Thanks

Ri
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Re: [Freesurfer] Longitudinal - varying geometries

2015-04-01 Thread Pedro Rosa - GMail
Thanks, Martin. 
It is unfortunate to hear such news, but they are of course accurate. Hopefully 
this affects a small subset of subjects, and I will be able to add a covariate 
to it.
Regards,
Pedro Rosa.


On Wednesday, April 1, 2015 at 12:30 PM, Martin Reuter wrote:

 Hi Pedro,
 
 there is really no way to fix it. Especially if all you subjects changed 
 acquisition. If it is only a small subset, you can then include a co-variable 
 to account for this in your stats. You should then also test whether one 
 group has more of these cases than the other, or if it is distributed evenly 
 (in case you run a group analysis). If you are interested in analyzing other 
 co-variates (drug dose) you need to test if there is a correlation with 
 acquisition, etc. 
 
 Reslicing will not help at all. Adding another reslicing step to only some 
 images will clearly bias results. 
 
 If this change in acquisition has happened for most or all your subjects, you 
 can scan a subset back-to-back (with removal from scanner), with the 
 different protocols to see how large the effect is. The problem here is that 
 you need to scan a decent number to trust those results.
 
 Best, Martin
 
 
 On 04/01/2015 11:21 AM, Pedro Rosa wrote:
  Hi Martin, 
  Thank you for your answer.
  Is there a way to fix it? Can reslicing help?
  Or to try compenate for it in the processing or statistics?
  Regards
  
  -- 
  Pedro Rosa
  
  
  On Apr 1, 2015, at 12:13, Martin Reuter mreu...@nmr.mgh.harvard.edu 
  (mailto:mreu...@nmr.mgh.harvard.edu) wrote:
  
   Hi Pedro, 
   
   yes, there was a bug (well, not really a bug but the check was 
   oversensitive). It was testing too many image parameters, some of them 
   could be problematic (e.g. different voxel sizes across time), and some 
   not. 
   
   Looking at your attached files, you can see that the voxel sizes differ 
   significantly between the baseline and the follow-up
   Baseline:
   dimensions: 256 x 256 x 124
  voxel sizes: 0.8594, 0.8594, 1.5000
   Follow-up:
   dimensions: 256 x 256 x 124
  voxel sizes: 1.0938, 1.0938, 1.5000
   
   This can induce a bias. You need to keep imaging parameters fixed in a 
   longitudinal study, else you'll not know if changes are anatomical 
   changes or induced by the different imaging.
   
   Best, Martin
   
   On 04/01/2015 06:43 AM, Pedro Rosa - Gmail wrote:
Dear FreeSurfers, I have read in the Mailing list 
(http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg32753.html
 and others) other users asking questioning in regard of a Warning from 
FreeSurfer 5.3 longitudinal pipeline (-base step): 
\n***
 WARNING: Image geometries differ across time, maybe due to aquisition 
changes? This can potentially bias a longitudinal study! Will continue 
in 10s. 
***\n
 I am working in a sample with a longotudinal design which receives 
this warn, although there was no change in hardware, and (supposedly) 
the acquisition protocol was the same. As requested by Martin in former 
posts in the Mailing List, I attached the output from mri_info 
*/rawavg.mgz. I would like to know if these differences should be 
considered a bias in a longitudinal study and, if they should, if there 
is a way to fix it.
 Regards, Pedro Rosa. 



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   -- Dr. Martin Reuter Instructor in Neurology Harvard Medical School 
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   Affiliate Computer Science and Artificial Intelligence Lab, Dept. of 
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Re: [Freesurfer] Longitudinal - varying geometries

2015-04-01 Thread Pedro Rosa
Hi Martin,
Thank you for your answer.
Is there a way to fix it? Can reslicing help?
Or to try compenate for it in the processing or statistics?
Regards

--
Pedro Rosa

 On Apr 1, 2015, at 12:13, Martin Reuter mreu...@nmr.mgh.harvard.edu wrote:
 
 Hi Pedro, 
 
 yes, there was a bug (well, not really a bug but the check was 
 oversensitive). It was testing too many image parameters, some of them could 
 be problematic (e.g. different voxel sizes across time), and some not. 
 
 Looking at your attached files, you can see that the voxel sizes differ 
 significantly between the baseline and the follow-up
 Baseline:
 dimensions: 256 x 256 x 124
voxel sizes: 0.8594, 0.8594, 1.5000
 Follow-up:
 dimensions: 256 x 256 x 124
voxel sizes: 1.0938, 1.0938, 1.5000
 
 This can induce a bias. You need to keep imaging parameters fixed in a 
 longitudinal study, else you'll not know if changes are anatomical changes or 
 induced by the different imaging.
 
 Best, Martin
 
 On 04/01/2015 06:43 AM, Pedro Rosa - Gmail wrote:
 Dear FreeSurfers,
 I have read in the Mailing list 
 (http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg32753.html 
 and others) other users asking questioning in regard of a Warning from 
 FreeSurfer 5.3 longitudinal pipeline (-base step):
 \n***
 WARNING: Image geometries differ across time, maybe due to aquisition 
 changes?
  This can potentially bias a longitudinal study! Will continue in 
 10s.
 ***\n
 I am working in a sample with a longotudinal design which receives this 
 warn, although there was no change in hardware, and (supposedly) the 
 acquisition protocol was the same. As requested by Martin in former posts in 
 the Mailing List, I attached the output from mri_info */rawavg.mgz.
 I would like to know if these differences should be considered a bias in a 
 longitudinal study and, if they should, if there is a way to fix it.
 Regards,
 Pedro Rosa.
 
 
 
 
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 Freesurfer mailing list
 Freesurfer@nmr.mgh.harvard.edu
 https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
 
 -- 
 Dr. Martin Reuter
 
 Instructor in Neurology
   Harvard Medical School
 Assistant in Neuroscience
   Dept. of Radiology, Massachusetts General Hospital
   Dept. of Neurology, Massachusetts General Hospital
 Research Affiliate
   Computer Science and Artificial Intelligence Lab,
   Dept. of Electrical Engineering and Computer Science,
   Massachusetts Institute of Technology
 
 A.A.Martinos Center for Biomedical Imaging
 149 Thirteenth Street, Suite 2301
 Charlestown, MA 02129
 
 Phone: +1-617-724-5652
 Email: 
mreu...@nmr.mgh.harvard.edu
reu...@mit.edu
 Web  : http://reuter.mit.edu 
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 at
 http://www.partners.org/complianceline . If the e-mail was sent to you in 
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 properly
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Re: [Freesurfer] -per-run analysis in native space

2015-04-01 Thread Douglas N Greve
I can't tell from that message. Can you copy mask.nii.gz and 
rho1mn.nii.gz somewhere I can access?

On 04/01/2015 12:14 PM, SHAHIN NASR wrote:
 Hi Doug,
 Selxavg3-sess started without any problem but then I faced the 
 below error.  Do you know what is the problem?

 Global In-Mask Mean = 1316.7 (8.68411)
 Rescale Target = 100
 RescaleFactor = 0.0759477
 OLS Residual Pass
   run 1t= 0.0
 Saving rho1
   run 2t=144.1
 Saving rho1
   run 3t=289.9
 Saving rho1
   run 4t=432.6
 Saving rho1
   run 5t=580.0
 Saving rho1
   run 6t=731.8
 Saving rho1
   run 7t=884.9
 Saving rho1
   run 8t=1042.3
 Saving rho1
   run 9t=1194.9
 Saving rho1
   run 10t=1341.4
 Saving rho1

 Smoothing ACF
 /usr/local/freesurfer/stable5_3_0/bin/mri_fwhm --mask 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
  
 --i 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.nii.gz
  
 --o 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.sm.nii.gz
  
 --fwhm 20.00 --smooth-only
 /usr/local/freesurfer/stable5_3_0/bin/mri_fwhm --mask 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
  
 --i 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.nii.gz
  
 --o 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.sm.nii.gz
  
 --fwhm 20.00 --smooth-only: Segmentation fault
 voxelvolume 1 mm3
 Loading mask 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
 Search region is 708874 voxels = 708874.00 mm3
 Smoothing input by fwhm=20.00, gstd=8.493218
 Segmentation fault (core dumped)

 ERROR: /usr/local/freesurfer/stable5_3_0/bin/mri_fwhm --mask 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
  
 --i 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.nii.gz
  
 --o 
 /autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.sm.nii.gz
  
 --fwhm 20.00 --smooth-only
  --
 ERROR: fast_selxavg3() failed\n


 On Fri, Mar 27, 2015 at 3:34 PM, Douglas N Greve 
 gr...@nmr.mgh.harvard.edu mailto:gr...@nmr.mgh.harvard.edu wrote:


 Yes. Note that that will produce huge files (float images 256^3 by
 number of time points).
 doug


 On 03/27/2015 01:50 PM, SHAHIN NASR wrote:

 Hi Surfers,
 I want to find a way to analyze subcortical activities in
 native space and still take advantage of per-run
 registration.  As far as I understand, this is not possible in
 current preproc-sess.  We need one extra step in which we have
 to map all fmcpr.nii.gz files to subject's orig.mgz.  I am trying:

 mri_vol2vol --mov fmcpr.nii.gz --o fmcpr.native.nii.gz
 --fstarg orig.mgz --reg register.dof6.dat --no-save-reg
 --interp trilin

 in my mind, it is equivalent of what preproc-sess does
 when we use -mni305 flag (it uses mri_vol2vol to map fmcpr to
 mni space).

 Am I right?

 -- 
 Shahin Nasr

 PhD in Cognitive Neuroscience
 Martinos Imaging Center, MGH
 Harvard Medical School


 -- 
 Douglas N. Greve, Ph.D.
 MGH-NMR Center
 gr...@nmr.mgh.harvard.edu mailto:gr...@nmr.mgh.harvard.edu
 Phone Number: 617-724-2358 tel:617-724-2358
 Fax: 617-726-7422 tel:617-726-7422

 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
 http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
 FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
 www.nmr.mgh.harvard.edu/facility/filedrop/index.html
 http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html
 Outgoing:
 ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/





 -- 
 Shahin Nasr

 PhD in Cognitive Neuroscience
 Martinos Imaging Center, MGH
 Harvard Medical School

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
www.nmr.mgh.harvard.edu/facility/filedrop/index.html
Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/

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[Freesurfer] How extract visual areas from non-freesurfer generated Phasemaps?

2015-04-01 Thread Kaule, Falko
Dear all,
having phasemaps, generated with AFNI, I would like to extract the visual areas 
as ROI from a surface view (infalted, flatmap or sth. like this).

 Steps I've tried:
As I'm already familar with freeview and a bit with tksurfer I tried to use 
them to do that. After reading through the freesurfer-mailinglist and wiki, it 
seems not possible to extract ROI from surface view. Right?

tksurfer can be used to extract i.e. cut, ROI but the colorkey can't be set 
colorwheel alike.

rtview can be used to extract ROI and can have a colorwheel colorcode but 
expects radian values (sin, cos, and kind of significance values). I converted 
the phasemaps to sin and cos values. Loading these niftis shows, that the 
alignment in rtview is wrong. It seems some kind of rotated.


 The code:
# coregister (gives identity matrix because it is already coregistered to 
anatomy)
mov=sub001_pre0_Tstim32_afniPOLpfd_flirt_sin.nii.gz
ref=/sub001/templates/t1w/brain.nii.gz
reg=new_coreg.dat
tkregister2 --s sub001 --targ $ref --mov $mov --regheader --reg $reg

# alignment is wrong but colorcode looks as expected
rtview --s sub001 --reg $reg --rh --polar --real 
sub001_pre0_Tstim32_afniPOLpfd_flirt_cos.nii.gz  --imag 
sub001_pre0_Tstim32_afniPOLpfd_flirt_sin.nii.gz --fsig 
sub001_pre0_Tstim32_afniPOLpfd_flirt_sig.nii.gz

# gives proper alignment
#
tksurfer sub001 rh inflated -overlay pre0_Tstim32_afniPOLpfd_cos.nii.gz 
-overlay-reg-identity

freeview -v sub001/templates/t1w/brain.nii.gz 
sub001_pre0_Tstim32_afniPOLpfd_flirt_sin.nii.gz:reg=$reg

 The coregistration matrix new_coreg.dat
sub001
0.699928
0.67
0.15
9.99403953552e-01 0.000e+00 1.862645149230957e-09 
-1.340251287729188e-06
0.000e+00 9.99403953552e-01 0.000e+00 
2.139647040166892e-05
0.000e+00 1.490116119384766e-08 1.000e+00 
-2.403078542556614e-05
0 0 0 1
round

Thanks,
Falko


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Re: [Freesurfer] -per-run analysis in native space

2015-04-01 Thread SHAHIN NASR
Hi Doug,
Selxavg3-sess started without any problem but then I faced the below
error.  Do you know what is the problem?

Global In-Mask Mean = 1316.7 (8.68411)
Rescale Target = 100
RescaleFactor = 0.0759477
OLS Residual Pass
  run 1t= 0.0
Saving rho1
  run 2t=144.1
Saving rho1
  run 3t=289.9
Saving rho1
  run 4t=432.6
Saving rho1
  run 5t=580.0
Saving rho1
  run 6t=731.8
Saving rho1
  run 7t=884.9
Saving rho1
  run 8t=1042.3
Saving rho1
  run 9t=1194.9
Saving rho1
  run 10t=1341.4
Saving rho1

Smoothing ACF
/usr/local/freesurfer/stable5_3_0/bin/mri_fwhm --mask
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
--i
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.nii.gz
--o
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.sm.nii.gz
--fwhm 20.00 --smooth-only
/usr/local/freesurfer/stable5_3_0/bin/mri_fwhm --mask
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
--i
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.nii.gz
--o
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.sm.nii.gz
--fwhm 20.00 --smooth-only: Segmentation fault
voxelvolume 1 mm3
Loading mask
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
Search region is 708874 voxels = 708874.00 mm3
Smoothing input by fwhm=20.00, gstd=8.493218
Segmentation fault (core dumped)

ERROR: /usr/local/freesurfer/stable5_3_0/bin/mri_fwhm --mask
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/mask.nii.gz
--i
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.nii.gz
--o
/autofs/cluster/tootell/pitcairn/1/shahin/Face_Scene_HighRes/Subjects/myla1/bold/Multi_Localizer_native/rho1mn.sm.nii.gz
--fwhm 20.00 --smooth-only
 --
ERROR: fast_selxavg3() failed\n



On Fri, Mar 27, 2015 at 3:34 PM, Douglas N Greve gr...@nmr.mgh.harvard.edu
wrote:


 Yes. Note that that will produce huge files (float images 256^3 by number
 of time points).
 doug


 On 03/27/2015 01:50 PM, SHAHIN NASR wrote:

 Hi Surfers,
 I want to find a way to analyze subcortical activities in native
 space and still take advantage of per-run registration.  As far as I
 understand, this is not possible in current preproc-sess.  We need one
 extra step in which we have to map all fmcpr.nii.gz files to subject's
 orig.mgz.  I am trying:

 mri_vol2vol --mov fmcpr.nii.gz --o fmcpr.native.nii.gz --fstarg orig.mgz
 --reg register.dof6.dat --no-save-reg --interp trilin

 in my mind, it is equivalent of what preproc-sess does when we use
 -mni305 flag (it uses mri_vol2vol to map fmcpr to mni space).

 Am I right?

 --
 Shahin Nasr

 PhD in Cognitive Neuroscience
 Martinos Imaging Center, MGH
 Harvard Medical School


 --
 Douglas N. Greve, Ph.D.
 MGH-NMR Center
 gr...@nmr.mgh.harvard.edu
 Phone Number: 617-724-2358
 Fax: 617-726-7422

 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
 FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2
 www.nmr.mgh.harvard.edu/facility/filedrop/index.html
 Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/





-- 
Shahin Nasr

PhD in Cognitive Neuroscience
Martinos Imaging Center, MGH
Harvard Medical School
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[Freesurfer] Label to Nii Conversion

2015-04-01 Thread MCLAREN, Donald
I have a label file on the surface, but want to be able to use it to
extract surface data that is already in nifti format (dimensions: [2737 1
6]).

Is there a way to convert a label to nifti?

Best Regards, Donald McLaren
=
D.G. McLaren, Ph.D.
Research Fellow, Department of Neurology, Massachusetts General Hospital and
Harvard Medical School
Postdoctoral Research Fellow, GRECC, Bedford VA
Website: http://www.martinos.org/~mclaren
Office: (773) 406-2464
=
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Re: [Freesurfer] hello freesurfer developer~

2015-04-01 Thread Douglas N Greve
You're dicom file is jpeg compressed which FS version 5.3 does not 
handle. Get the two files from below

ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/dcmdjpeg.fs
ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/mri_convert

Copy into $FREESURFER_HOME/bin (make a backup of mri_convert first)

rehash and try again

doug



On 04/01/2015 01:14 PM, A-reum Min wrote:
 Hello
 My name is areum.
 I've got a problem while freesurfer subjects reconstruction.
 I have 37 subjects(control+patient) data.
 Number of each subject dicom file is 244.
 my FREESURFER_HOME  is /usr/local/freesurfer
 my SUBJECTS_DIR is /usr/local/freesurfer/subjects/PISA_SPGR
 (K-1 image is each subjects file(contained dicom file), K-3 image is 
 subject(no.1)'s 244 dicom file.)
 When i type
 [areum@localhost 1]# recon-all -i 
 /usr/local/freesurfer/subjects/PISA_SPGR/1/I0071579.dcm -i 
 /usr/local/freesurfer/subjects/PISA_SPGR/1/I0071580.dcm -all -s subj001
 (subj001 means that contain the first subjects reconstructed data)
 then, error occured..

 Subject Stamp: freesurfer-Linux-centos6_x86_64-stable-pub-v5.3.0
 Current Stamp: freesurfer-Linux-centos6_x86_64-stable-pub-v5.3.0
 INFO: SUBJECTS_DIR is /usr/local/freesurfer/subjects/PISA_SPGR
 Actual FREESURFER_HOME /usr/local/freesurfer
 Linux localhost.localdomain 2.6.32-504.el6.x86_64 #1 SMP Wed Oct 15 
 04:27:16 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux
 /usr/local/freesurfer/subjects/PISA_SPGR/subj001
  mri_convert /usr/local/freesurfer/subjects/PISA_SPGR/1/I0071579.dcm 
 /usr/local/freesurfer/subjects/PISA_SPGR/subj001/mri/orig/001.mgz
 mri_convert /usr/local/freesurfer/subjects/PISA_SPGR/1/I0071579.dcm 
 /usr/local/freesurfer/subjects/PISA_SPGR/subj001/mri/orig/001.mgz
 $Id: mri_convert.c,v 1.179.2.7 2012/09/05 21:55:16 mreuter Exp $
 reading from /usr/local/freesurfer/subjects/PISA_SPGR/1/I0071579.dcm...
 Starting DICOMRead2()
 dcmfile = /usr/local/freesurfer/subjects/PISA_SPGR/1/I0071579.dcm
 dcmdir = /usr/local/freesurfer/subjects/PISA_SPGR/1
 Ref Series No = 3
 Found 246 files, checking for dicoms
 Found 244 dicom files in series.
 First Sorting
 Computing Slice Direction
 Vs: -0.8 0 0
 Vs: -1 0 0
 Second Sorting
 Counting frames
 nframes = 1
 nslices = 244
 ndcmfiles = 244
 PE Dir = ROW (dicom read)
 TransferSyntaxUID: --1.2.840.10008.1.2.4.70--
 ERROR: the pixel data cannot be loaded as it is JPEG compressed.
(Transfer Syntax UID: 1.2.840.10008.1.2.4.70)
 jpegUID:   --1.2.840.10008.1.2.4--
 Linux localhost.localdomain 2.6.32-504.el6.x86_64 #1 SMP Wed Oct 15 
 04:27:16 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux
 recon-all -s subj001 exited with ERRORS at Wed Apr  1 02:17:23 JST 2015
 For more details, see the log file 
 /usr/local/freesurfer/subjects/PISA_SPGR/subj001/scripts/recon-all.log
 To report a problem, see 
 http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
 * Question 1.*
 Is the SUBJECTS_DIR correct path?
 (PISA_SPGR file contained 37 each subjects file)
 * Question 2.*
 I think that '-i' converted dicom file to mgz format. So, i type the 
 recon-all -i /first of a collection of 244 files directory -i /second 
 of a collection of 244 files directory -all -s subj001 ... is it right?
 If i type the top two images, then automatically 244 images 
 reconstruction?
 I have 37 subjects files (K-1 image)

 * Question 3.*
 If i recon my each subjects data, then do I have to change the 
 path(SUBJECTS_DIR) each time to change the subject file?
 ex) file number (1) is subject1's dicom, file number (2) is subject2' 
 dicom file  so, am i just finished (1)data , do i change my 
 SUBJECTS_DIR path for recon to subjets data(2) ? )
 * Question 4.*
 As you can see that K-6 image is subject dicom jpeg...
 can i use this one? or convert another format image?


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-- 
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MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
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Re: [Freesurfer] epidewarp?

2015-04-01 Thread Douglas N Greve
Use --fsm shiftmap.nii.gz (ie, it needs an extension)

On 04/01/2015 05:02 PM, Marco Loggia, PhD wrote:
 Hi Doug,

 I just noticed that when I run epidewarp, it gives me a strange  'if: 
 Expression Syntax'  error message, even if I have no if-statements in 
 my script (see below for an example of usage). Note that I use the 
 full path for epidewarp because I am using FSL 5.0.7.

 Is this a bug?

 Thanks,

 Marco

 dirpath=/autofs/cluster/vitaly/marco/CuffFM

 cd $dirpath/CuffFM_CTRL005/focus1
 /usr/local/freesurfer/dev/bin/epidewarp.fsl --mag 
 $dirpath/CuffFM_CTRL005/fieldmap/fieldmap1.nii --dph 
 $dirpath/CuffFM_CTRL005/fieldmap/fieldmap2.nii --epi bold.nii --tediff 
 2.54 --esp .48 --sigma 2 --vsm shiftmap --epidw bold_dw.nii




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-- 
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MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
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[Freesurfer] epidewarp?

2015-04-01 Thread Marco Loggia, PhD
Hi Doug,

I just noticed that when I run epidewarp, it gives me a strange  'if: 
Expression Syntax'  error message, even if I have no if-statements in my 
script (see below for an example of usage). Note that I use the full path for 
epidewarp because I am using FSL 5.0.7.

Is this a bug?

Thanks,

Marco

dirpath=/autofs/cluster/vitaly/marco/CuffFM

cd $dirpath/CuffFM_CTRL005/focus1
/usr/local/freesurfer/dev/bin/epidewarp.fsl --mag 
$dirpath/CuffFM_CTRL005/fieldmap/fieldmap1.nii --dph 
$dirpath/CuffFM_CTRL005/fieldmap/fieldmap2.nii --epi bold.nii --tediff 2.54 
--esp .48 --sigma 2 --vsm shiftmap --epidw bold_dw.nii 


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