Re: [Freesurfer] tracula executables for snow leopard now online

2011-08-24 Thread David Coynel
Yes, there are no more malloc issues, thanks for the update. 

However I still have a question, related to the merged_avg33_mni file. It still 
only contains the first path that was passed as an input to dmri_mergepaths. If 
I understand correctly I should see all generated paths, thresholded and merged 
into this file ?

David

Am 23.08.2011 um 21:28 schrieb Anastasia Yendiki:

 
 Hi David - Thanks for catching this. There was something wrong with the 
 new snow leopard build of dmri_mergepaths. (The original from the 5.1 
 distribution didn't have this problem). Sorry about that!
 
 I've now updated the snow leopard tar file, so if you download it again 
 you should not get this error any more.
 
 As before it's here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz
 
 Let me know how it goes,
 a.y
 
 On Tue, 23 Aug 2011, David Coynel wrote:
 
 Hi Anastasia,
 
 Thanks for your answer. Unfortunately I overwrote the executables (I could 
 still retrieve them from the website distribution ?). Interestingly this 
 message does not show up when selecting only a subset of the pathways, as 
 for example ( lh.ccg rh.ccg lh.unc rh.unc ), however the merged_avg33_mni 
 file only appears to contain the first pathway (lh.ccg).
 
 David
 
 Am 23.08.2011 um 17:06 schrieb Anastasia Yendiki:
 
 
 Hi David - Glad to hear things are working! I can look into
 dmri_mergepaths and see if something is wrong with the snow leopard build.
 Have you by any chance kept the original leopard build of it? If you
 haven't overwritten it, it'd be useful to run the same thing with that
 version and see if it works. Thanks!
 
 a.y
 
 On Tue, 23 Aug 2011, David Coynel wrote:
 
 Dear Anastasia,
 
 Thanks a lot for the upload. The procedure now runs perfectly, except for 
 that last message at the end of trac-all -path :
 
 
 Merging volume 18 of 18...
 Threshold: 68.1 Name: Right Uncinate Fasciculus
 dmri_mergepaths(26008) malloc: *** mmap(size=18446744073709543424) failed 
 (error code=12)
 *** error: can't allocate region
 *** set a breakpoint in malloc_error_break to debug
 Done in 2.433 sec.
 dmri_mergepaths done
 #-
 trac-paths finished without error at Do 18 Aug 2011 11:39:42 CEST
 
 
 This however does not seem to affect the pipeline, as all the expected 
 outputs seem to be present and valid.
 
 Dr. David Coynel
 Division of Cognitive Neuroscience
 
 University of Basel
 Birmannsgasse 8
 4055 Basel - Switzerland
 
 david.coy...@unibas.ch
 tel: +41(0)612.670.240
 
 Am 17.08.2011 um 23:44 schrieb Anastasia Yendiki:
 
 
 Hi all - By popular demand we've posted the dmri_* executables compiled on
 snow leopard here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz
 
 This is not the entire FS distribution, just the commands that are called
 by trac-all. If you are a mac user with snow leopard and have been running
 into memory issues with the leopard version, you can download this, copy
 the new files into your $FREESURFER_HOME/bin, and try rerunning the part
 of the analysis that had errored out.
 
 Let us know if there are any problems,
 a.y
 
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 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to you in 
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[Freesurfer] Brain volume in FreeSurfer analysis

2011-08-24 Thread zuzana nedelska
Hello,

I have a question about calculating brain volume (in mm3) when performing 
recon-all.
Do I take brainseg volume in the analysis stream line as subject's brain volume 
(in mm3)?

Thank you for reply.
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[Freesurfer] .curv

2011-08-24 Thread Antonella Cappelletti
Hi,
 I need a sulcal map and I saw that freesurfer can generate .curv and .sulc
files that have this information.
It is possibile to convert these formats into a vtk one, or to join the
information of a .curv file format whit a volumetric one, having a
volumetric file with the infomations of a .curv file?

-- 
Antonella
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[Freesurfer] GLM analysis - covariates

2011-08-24 Thread Jenessa Price
I'm examining differences in cortical thickness in a sample of drug users
and non-users.  From the literature, it appears that the 2 covariates I
should use for the GLM analysis will be gender and age.  Other researchers
have examined other possible covariates (like age of first use, # past year
uses, IQ, etc.) using correlations between those variables and significant
clusters that differed between groups.  Is this the best way to go about
translating a typical regression model into the Freesurfer statistical
package (especially if I'm interested in dose-dependent relationships)?

Also, how do you suggest controlling for total brain volume?  Other
researchers have performed univariate analyses between groups on TBV
controlling for age and gender, then examined mean cortical thickness, but
I'm not quite sure what the steps are for this.  Could someone help me
identify the best way to control for TBV (i.e., is there a way to control
from the first GLM analysis, or is this a possible covariate to enter in to
the analysis)?

Thanks!

-- 
Jenessa S. Price, M.A.
Graduate Student, Clinical Psychology and Neuropsychology
University of Cincinnati
Campus Representative, American Psychological Association of Graduate
Students (APAGS)
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Re: [Freesurfer] .curv

2011-08-24 Thread Bruce Fischl

Hi Antonella

you can use mri_surf2vol to sample either one into the volume and go from 
there.


cheers
Bruce
On Wed, 24 Aug 2011, Antonella Cappelletti wrote:


Hi, I need a sulcal map and I saw that freesurfer can generate .curv and .sulc 
files that have this information.
It is possibile to convert these formats into a vtk one, or to join the 
information of a .curv file format whit a volumetric one, having a
volumetric file with the infomations of a .curv file?

--
Antonella

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addressed. If you believe this e-mail was sent to you in error and the e-mail
contains patient information, please contact the Partners Compliance HelpLine at
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but does not contain patient information, please contact the sender and properly
dispose of the e-mail.


Re: [Freesurfer] correction for multiple comparisons

2011-08-24 Thread Antonella Kis
Good morning Doug,

Thank you for your help.
I followed your advise and unfortunately I do not understand why after
adding the threshold 2 cwpvalthresh .025  in order to do the correction across 
lh and rh I still get in my clusters summary and clusters with  cwp.01 as well 
as cwp .025.
This is what I was running:

mri_glmfit-sim \
--glmdir rh.age.glmdir \
--cache 2 neg \
--cwpvalthresh .025 \
--overwrite 


And this is my output: 

  
  
  
  
  
 
  
  
  
  
  
  
 

  
  
  
  
  
   
# ClusterNo Max VtxMax Size(mm^2) MNIX MNIY MNIZ CWP CWPLow CWPHi NVtxs Annot 
 
1 -6.24 104279 2004.41 6.4 -83.6 34.4 0.0001 0 0 3539 cuneus 
 
2 -5.71 56656 2923.03 24.4 25.4 37.1 0.0001 0 0 5020 superiorfrontal 
 
3 -4.89 156133 1826.82 5.1 -29.7 38.6 0.0001 0 0 4324 posteriorcingulate 
 
4 -4.57 117278 1917.42 43.2 43.4 -8.2 0.0001 0 0 3393 parsorbitalis 
 
5 -4.32 134603 910.13 10.5 45.7 -9.2 0.0009 0 0 1597 medialorbitofrontal 
 
6 -4.01 47845 1018.06 38.9 -73.9 34.6 0.0003 0 0 1802 inferiorparietal 
 
7 -3.97 12268 580.81 14.2 -51 63.3 0.0132 0.01 0.01 1415 superiorparietal 
 
8 -3.78 54798 871.02 53 -39.7 -5.1 0.0010 0 0 1969 bankssts 
 
9 -3.78 21941 555.51 45.8 -28.2 6.4 0.0175 0.02 0.02 1369 superiortemporal 
 
10 -2.91 86118 884.25 10.1 -98.9 11.7 0.0010 0 0 1089 lateraloccipital 
 
11 -2.86 13271 674.26 21.5 -65.4 -6.1 0.0056 0 0.01 722 lingual 
  
  
  
  
  
  
 
  
 
 
 
 
 
 
  
  
  
  
  
  
 
  
  
  
  
  
  
 
  
  
  
  
  
  
 
  
  
  
  
  
  
 
Is this right?

Please advise.

Thank you.
Antonella



From: Douglas N Greve gr...@nmr.mgh.harvard.edu
To: Antonella Kis ator...@yahoo.com
Cc: freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu
Sent: Tuesday, August 23, 2011 4:33 PM
Subject: Re: [Freesurfer] correction for multiple comparisons

Yes, that is correct, you should use .025 if you are correcting for both 
hemispheres.
doug

Antonella Kis wrote:

 Hi Doug,

 I would like to run the correction for multiple comparisons. I know 
 glmfit-sim corrects for multiple comparisons. My question is:

 the corrections for multiple comparisons will be done while running

 mri_glmfit-sim \
 --glmdir rh.age.glmdir \
 --cache 2 neg \
 --overwrite

 or I need to add --cwpvalthresh .025 before --overwrite. I found 
 on-line that  setting a treshold = 2 means  p  0.05 but adding 
 --cwpvalthresh .025 will do the correction across 2 spaces: lh and rh: 
 .025 = .05/2
 Bonferroni Correction and will show only the clusters with p.025.
  
 Is this right? So to run for multiple corrections in fact I will need 
 to run:

 mri_glmfit-sim \
 --glmdir rh.age.glmdir \
 --cache 2 neg \
 --cwpvalthresh .025
 --overwrite

 Please advise me.

 Thank you for your time and help.
 Antonella
 
 *From:* Douglas N Greve gr...@nmr.mgh.harvard.edu
 *To:* Antonella Kis ator...@yahoo.com
 *Cc:* freesurfer@nmr.mgh.harvard.edu freesurfer@nmr.mgh.harvard.edu
 *Sent:* Monday, August 22, 2011 2:28 PM
 *Subject:* Re: [Freesurfer] GLM or Qdec ?



 Antonella Kis wrote:
  Dear FS experts,
 
  I finished running the GLM and I wonder what is the best way to
  further analyse my data in order to see if there is any relation
  between age (at seizure onset) and cortical thickness for my  patients
  versus control group.
 
 
  1).  Why when I overlay the sig.mgh in tksurfer lh inflated, I get
  more clusters than the number of clusters obtained from mri_glmfit-sim?
 When you look at it in tksurfer, you are looking at uncorrected data.
 glmfit-sim corrects for multiple comparisons. Some of the clusters don't
 survive.
 
  2). What sig.mgh represents?
 -log10(p)
 
  3) What's the real significance of a  cluster (how a cluster is formed)?
 It is based on the likelihood of getting a cluster of that size by
 chance given the search space (cortical surface area), smoothness
 (FWHM), and cluster-forming threshold (eg, p.05).
 
  4). Why my thickness value in clusters (eg cluster no. 1 which
  coresponds to the posteriorcingulate) for subject no.1 is different
  that the thickness value obtained for the same region in the
  lh.aparc.stats while running recon-all?
 
  5). After running the GLM should I use visualizing and plotting method
  to further analyse my data  and load FSGD file
  lh.gender_age.glmdir/y.fsgd?
 
  6). Should  my ROI's be defined or be the same with my clusters?
 I don't know what you mean by that.
 
  7). What is the difference between GLM and Qdec? What method is the
  best to analyse the relation between age  and cortical thickness for
  my  patients versus control group?
 They are the same statistically. They are just different ways to provide
 information about your design and contrasts. QDEC is graphical (point
 and click). mri_glmfit you create FSGD files and run it from the
 command-line. QDEC actually creates FSGD files and contrast files and
 runs mri_glmfit.
 
  8). Why when analysing with Qdec I get more 

Re: [Freesurfer] tracula executables for snow leopard now online

2011-08-24 Thread ayendiki
Yes, it should be a concatenation of all existing pathway reconstructions
under dpath/... If you open it with trackvis --tv, you should be able to
see a 3d view of all the pathways. Sometimes the default threshold might
be too high for some pathways and you might need to adjust it individually
in freeview to be able to see them.

Does the output of dmri_mergepaths show you that it's found multiple
pathways or just ccg?

 Yes, there are no more malloc issues, thanks for the update.

 However I still have aays  question, related to the merged_avg33_mni
file. It
 still only contains the first path that was passed as an input to
 dmri_mergepaths. If I understand correctly I should see all generated
 paths, thresholded and merged into this file ?

 David

 Am 23.08.2011 um 21:28 schrieb Anastasia Yendiki:


 Hi David - Thanks for catching this. There was something wrong with the
 new snow leopard build of dmri_mergepaths. (The original from the 5.1
 distribution didn't have this problem). Sorry about that!

 I've now updated the snow leopard tar file, so if you download it again
 you should not get this error any more.

 As before it's here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz

 Let me know how it goes,
 a.y

 On Tue, 23 Aug 2011, David Coynel wrote:

 Hi Anastasia,

 Thanks for your answer. Unfortunately I overwrote the executables (I
 could still retrieve them from the website distribution ?).
 Interestingly this message does not show up when selecting only a
 subset of the pathways, as for example ( lh.ccg rh.ccg lh.unc rh.unc ),
 however the merged_avg33_mni file only appears to contain the first
 pathway (lh.ccg).

 David

 Am 23.08.2011 um 17:06 schrieb Anastasia Yendiki:


 Hi David - Glad to hear things are working! I can look into
 dmri_mergepaths and see if something is wrong with the snow leopard
 build.
 Have you by any chance kept the original leopard build of it? If you
 haven't overwritten it, it'd be useful to run the same thing with that
 version and see if it works. Thanks!

 a.y

 On Tue, 23 Aug 2011, David Coynel wrote:

 Dear Anastasia,

 Thanks a lot for the upload. The procedure now runs perfectly, except
 for that last message at the end of trac-all -path :


 Merging volume 18 of 18...
 Threshold: 68.1 Name: Right Uncinate Fasciculus
 dmri_mergepaths(26008) malloc: *** mmap(size=18446744073709543424)
 failed (error code=12)
 *** error: can't allocate region
 *** set a breakpoint in malloc_error_break to debug
 Done in 2.433 sec.
 dmri_mergepaths done
 #-
 trac-paths finished without error at Do 18 Aug 2011 11:39:42 CEST


 This however does not seem to affect the pipeline, as all the
 expected outputs seem to be present and valid.

 Dr. David Coynel
 Division of Cognitive Neuroscience

 University of Basel
 Birmannsgasse 8
 4055 Basel - Switzerland

 david.coy...@unibas.ch
 tel: +41(0)612.670.240

 Am 17.08.2011 um 23:44 schrieb Anastasia Yendiki:


 Hi all - By popular demand we've posted the dmri_* executables
 compiled on
 snow leopard here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz

 This is not the entire FS distribution, just the commands that are
 called
 by trac-all. If you are a mac user with snow leopard and have been
 running
 into memory issues with the leopard version, you can download this,
 copy
 the new files into your $FREESURFER_HOME/bin, and try rerunning the
 part
 of the analysis that had errored out.

 Let us know if there are any problems,
 a.y

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 https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer


 The information in this e-mail is intended only for the person to
 whom it is
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 the e-mail
 contains patient information, please contact the Partners Compliance
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail was sent to
 you in error
 but does not contain patient information, please contact the sender
 and properly
 dispose of the e-mail.



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Re: [Freesurfer] tracula executables for snow leopard now online

2011-08-24 Thread David Coynel
Everything looks to be running fine. Wether I look at the merged file with 
freeview or fslview, I still have only one tract. Here's an extract of the 
outputs :

Input files: lh.ccg_PP_avg33_mni_flt/path.pd.nii.gz 
lh.unc_AS_avg33_mni_flt/path.pd.nii.gz rh.ccg_PP_avg33_mni_flt/path.pd.nii.gz 
rh.unc_AS_avg33_mni_flt/path.pd.nii.gz
Lower threshold for display: 0.15
Merging volume 1 of 4... 
Threshold: 111 Name: Left Cingulum - Cingulate Gyrus
Merging volume 2 of 4... 
Threshold: 74.85 Name: Left Uncinate Fasciculus
Merging volume 3 of 4... 
Threshold: 87.9 Name: Right Cingulum - Cingulate Gyrus
Merging volume 4 of 4... 
Threshold: 57.6 Name: Right Uncinate Fasciculus
Done in 0.621 sec.
dmri_mergepaths done

It remains the same if I take a very low threshold (0.001).

David

Am 24.08.2011 um 16:49 schrieb ayend...@nmr.mgh.harvard.edu:

 Yes, it should be a concatenation of all existing pathway reconstructions
 under dpath/... If you open it with trackvis --tv, you should be able to
 see a 3d view of all the pathways. Sometimes the default threshold might
 be too high for some pathways and you might need to adjust it individually
 in freeview to be able to see them.
 
 Does the output of dmri_mergepaths show you that it's found multiple
 pathways or just ccg?
 
 Yes, there are no more malloc issues, thanks for the update.
 
 However I still have aays  question, related to the merged_avg33_mni
 file. It
 still only contains the first path that was passed as an input to
 dmri_mergepaths. If I understand correctly I should see all generated
 paths, thresholded and merged into this file ?
 
 David
 
 Am 23.08.2011 um 21:28 schrieb Anastasia Yendiki:
 
 
 Hi David - Thanks for catching this. There was something wrong with the
 new snow leopard build of dmri_mergepaths. (The original from the 5.1
 distribution didn't have this problem). Sorry about that!
 
 I've now updated the snow leopard tar file, so if you download it again
 you should not get this error any more.
 
 As before it's here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz
 
 Let me know how it goes,
 a.y
 
 On Tue, 23 Aug 2011, David Coynel wrote:
 
 Hi Anastasia,
 
 Thanks for your answer. Unfortunately I overwrote the executables (I
 could still retrieve them from the website distribution ?).
 Interestingly this message does not show up when selecting only a
 subset of the pathways, as for example ( lh.ccg rh.ccg lh.unc rh.unc ),
 however the merged_avg33_mni file only appears to contain the first
 pathway (lh.ccg).
 
 David
 
 Am 23.08.2011 um 17:06 schrieb Anastasia Yendiki:
 
 
 Hi David - Glad to hear things are working! I can look into
 dmri_mergepaths and see if something is wrong with the snow leopard
 build.
 Have you by any chance kept the original leopard build of it? If you
 haven't overwritten it, it'd be useful to run the same thing with that
 version and see if it works. Thanks!
 
 a.y
 
 On Tue, 23 Aug 2011, David Coynel wrote:
 
 Dear Anastasia,
 
 Thanks a lot for the upload. The procedure now runs perfectly, except
 for that last message at the end of trac-all -path :
 
 
 Merging volume 18 of 18...
 Threshold: 68.1 Name: Right Uncinate Fasciculus
 dmri_mergepaths(26008) malloc: *** mmap(size=18446744073709543424)
 failed (error code=12)
 *** error: can't allocate region
 *** set a breakpoint in malloc_error_break to debug
 Done in 2.433 sec.
 dmri_mergepaths done
 #-
 trac-paths finished without error at Do 18 Aug 2011 11:39:42 CEST
 
 
 This however does not seem to affect the pipeline, as all the
 expected outputs seem to be present and valid.
 
 Dr. David Coynel
 Division of Cognitive Neuroscience
 
 University of Basel
 Birmannsgasse 8
 4055 Basel - Switzerland
 
 david.coy...@unibas.ch
 tel: +41(0)612.670.240
 
 Am 17.08.2011 um 23:44 schrieb Anastasia Yendiki:
 
 
 Hi all - By popular demand we've posted the dmri_* executables
 compiled on
 snow leopard here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz
 
 This is not the entire FS distribution, just the commands that are
 called
 by trac-all. If you are a mac user with snow leopard and have been
 running
 into memory issues with the leopard version, you can download this,
 copy
 the new files into your $FREESURFER_HOME/bin, and try rerunning the
 part
 of the analysis that had errored out.
 
 Let us know if there are any problems,
 a.y
 
 ___
 Freesurfer mailing list
 Freesurfer@nmr.mgh.harvard.edu
 https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
 
 
 The information in this e-mail is intended only for the person to
 whom it is
 addressed. If you believe this e-mail was sent to you in error and
 the e-mail
 contains patient information, please contact the Partners Compliance
 HelpLine at
 http://www.partners.org/complianceline . If the e-mail 

Re: [Freesurfer] tracula executables for snow leopard now online

2011-08-24 Thread Priti Srinivasan
Hi David,

Can you visualize these tracts individually?

type in freeview -v lh.ccg_PP_avg33_mni_flt/path.pd.nii.gz

and to visualize the merged you could try

freeview -tv merged_avg33_mni_flt.nii.gz

If both of these do not work you can try running dmri_mergepaths
seperately using the following command and see if that works for you:

dmri_mergepaths --indir main input dir --in path to all the
path.pd.nii.gz files --out path to outputdir/merged_avg32_mni_flt.mgz
--ctab /usr/local/freesurfer/dev/FreeSurferColorLUT.txt --thresh .15

You should have a copy of this command in your log file you can copy paste
that on to the terminal as well.

Can you try these things to see if it solves your problem?

-Priti

 Everything looks to be running fine. Wether I look at the merged file with
 freeview or fslview, I still have only one tract. Here's an extract of the
 outputs :

 Input files: lh.ccg_PP_avg33_mni_flt/path.pd.nii.gz
 lh.unc_AS_avg33_mni_flt/path.pd.nii.gz
 rh.ccg_PP_avg33_mni_flt/path.pd.nii.gz
 rh.unc_AS_avg33_mni_flt/path.pd.nii.gz
 Lower threshold for display: 0.15
 Merging volume 1 of 4...
 Threshold: 111 Name: Left Cingulum - Cingulate Gyrus
 Merging volume 2 of 4...
 Threshold: 74.85 Name: Left Uncinate Fasciculus
 Merging volume 3 of 4...
 Threshold: 87.9 Name: Right Cingulum - Cingulate Gyrus
 Merging volume 4 of 4...
 Threshold: 57.6 Name: Right Uncinate Fasciculus
 Done in 0.621 sec.
 dmri_mergepaths done

 It remains the same if I take a very low threshold (0.001).

 David

 Am 24.08.2011 um 16:49 schrieb ayend...@nmr.mgh.harvard.edu:

 Yes, it should be a concatenation of all existing pathway
 reconstructions
 under dpath/... If you open it with trackvis --tv, you should be able to
 see a 3d view of all the pathways. Sometimes the default threshold might
 be too high for some pathways and you might need to adjust it
 individually
 in freeview to be able to see them.

 Does the output of dmri_mergepaths show you that it's found multiple
 pathways or just ccg?

 Yes, there are no more malloc issues, thanks for the update.

 However I still have aays  question, related to the merged_avg33_mni
 file. It
 still only contains the first path that was passed as an input to
 dmri_mergepaths. If I understand correctly I should see all generated
 paths, thresholded and merged into this file ?

 David

 Am 23.08.2011 um 21:28 schrieb Anastasia Yendiki:


 Hi David - Thanks for catching this. There was something wrong with
 the
 new snow leopard build of dmri_mergepaths. (The original from the 5.1
 distribution didn't have this problem). Sorry about that!

 I've now updated the snow leopard tar file, so if you download it
 again
 you should not get this error any more.

 As before it's here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz

 Let me know how it goes,
 a.y

 On Tue, 23 Aug 2011, David Coynel wrote:

 Hi Anastasia,

 Thanks for your answer. Unfortunately I overwrote the executables (I
 could still retrieve them from the website distribution ?).
 Interestingly this message does not show up when selecting only a
 subset of the pathways, as for example ( lh.ccg rh.ccg lh.unc rh.unc
 ),
 however the merged_avg33_mni file only appears to contain the first
 pathway (lh.ccg).

 David

 Am 23.08.2011 um 17:06 schrieb Anastasia Yendiki:


 Hi David - Glad to hear things are working! I can look into
 dmri_mergepaths and see if something is wrong with the snow leopard
 build.
 Have you by any chance kept the original leopard build of it? If you
 haven't overwritten it, it'd be useful to run the same thing with
 that
 version and see if it works. Thanks!

 a.y

 On Tue, 23 Aug 2011, David Coynel wrote:

 Dear Anastasia,

 Thanks a lot for the upload. The procedure now runs perfectly,
 except
 for that last message at the end of trac-all -path :


 Merging volume 18 of 18...
 Threshold: 68.1 Name: Right Uncinate Fasciculus
 dmri_mergepaths(26008) malloc: *** mmap(size=18446744073709543424)
 failed (error code=12)
 *** error: can't allocate region
 *** set a breakpoint in malloc_error_break to debug
 Done in 2.433 sec.
 dmri_mergepaths done
 #-
 trac-paths finished without error at Do 18 Aug 2011 11:39:42 CEST


 This however does not seem to affect the pipeline, as all the
 expected outputs seem to be present and valid.

 Dr. David Coynel
 Division of Cognitive Neuroscience

 University of Basel
 Birmannsgasse 8
 4055 Basel - Switzerland

 david.coy...@unibas.ch
 tel: +41(0)612.670.240

 Am 17.08.2011 um 23:44 schrieb Anastasia Yendiki:


 Hi all - By popular demand we've posted the dmri_* executables
 compiled on
 snow leopard here:
 ftp://surfer.nmr.mgh.harvard.edu/pub/dist/freesurfer/misc/macos-snow-leopard-intel/dmri_5.1_snow_leopard.tar.gz

 This is not the entire FS distribution, just the commands that are
 called
 by trac-all. If you are a mac user with snow leopard and have been
 running
 into 

Re: [Freesurfer] Brain volume in FreeSurfer analysis

2011-08-24 Thread Anderson Winkler
A side note: If you are using FS 4.5.0 or earlier, there is also 
BrainSegVolNotVent, which discount ventricles. If you want to capture 
effects of aging or atrophy, perhaps this could be more sensitive than 
BrainSegVol.


On 24/08/11 12:32, Anderson Winkler wrote:

Hi Zuzana,

Yes, you can use BrainSegVol as a measurement of brain volume (I'd 
assume you are using FS =4.5.0). Note that there is another 
measurement that you might be interested in, the IntraCranialVol. 
These measurements tell different things and not necessarily correlate 
well one with another depending on the sample. BSV considers the 
voxels labelled as GM and WM, including subcortical structures and 
cerebellum and so, it correlates better with amount of GM and WM and 
tends to be more sensitive to pathology, atrophy and aging. ICV is 
more robust to these effects. You may want to choose the one that is 
more appropriate to your study.


Also, if you are considering brain volume as a covariate for cortical 
thickness, it's not necessary. Thickness correlates poorly with brain 
volume, and these two things are not correlated genetically.


Hope this helps!

All the best,

Anderson


On 24/08/11 05:39, zuzana nedelska wrote:

Hello,

I have a question about calculating brain volume (in mm3) when 
performing recon-all.
Do I take brainseg volume in the analysis stream line as subject's 
brain volume (in mm3)?


Thank you for reply.


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Re: [Freesurfer] Brain volume in FreeSurfer analysis

2011-08-24 Thread Alan Francis
Hi Anderson:

Your explanation is very well put. I have a question. Suppose one is looking
at High Risk datasets (for example Schizophrenia) where the
brain morphological alterations are subtle but spread across the brain,
which covariate would you use?

thanks,

Alan

[Beth Israel Deaconess Medical Center]

On Wed, Aug 24, 2011 at 12:43 PM, Anderson Winkler 
andersonwink...@hotmail.com wrote:

 **
 A side note: If you are using FS 4.5.0 or earlier, there is also
 BrainSegVolNotVent, which discount ventricles. If you want to capture
 effects of aging or atrophy, perhaps this could be more sensitive than
 BrainSegVol.


 On 24/08/11 12:32, Anderson Winkler wrote:

 Hi Zuzana,

 Yes, you can use BrainSegVol as a measurement of brain volume (I'd assume
 you are using FS =4.5.0). Note that there is another measurement that you
 might be interested in, the IntraCranialVol. These measurements tell
 different things and not necessarily correlate well one with another
 depending on the sample. BSV considers the voxels labelled as GM and WM,
 including subcortical structures and cerebellum and so, it correlates better
 with amount of GM and WM and tends to be more sensitive to pathology,
 atrophy and aging. ICV is more robust to these effects. You may want to
 choose the one that is more appropriate to your study.

 Also, if you are considering brain volume as a covariate for cortical
 thickness, it's not necessary. Thickness correlates poorly with brain
 volume, and these two things are not correlated genetically.

 Hope this helps!

 All the best,

 Anderson


 On 24/08/11 05:39, zuzana nedelska wrote:

  Hello,

 I have a question about calculating brain volume (in mm3) when performing
 recon-all.
 Do I take brainseg volume in the analysis stream line as subject's brain
 volume (in mm3)?

 Thank you for reply.


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Re: [Freesurfer] Brain volume in FreeSurfer analysis

2011-08-24 Thread Anderson Winkler

Hi Alan,

I'd say it depends on what the study is about, but in principle, I'd 
think that the covariates should remove what would have potential to be 
confounding more what the main effect would be. In the example of 
schizophrenia, I'd choose BrainSegVolNotVent, and run both models, with 
and without it, and interpret the results combined.


Also, unless if the samples are too small or unless one wants to 
explicitly test the effect of ICV and/or BV, I don't see any problem in 
including both ICV and BV in the model, even considering they are well 
correlated to some extent. The shared variance between them interferes 
on the beta-estimates for them, but not on the betas for the other 
regressors that you would be testing, and the part of the variance that 
is not shared between them will absorb the effects for which they were 
chosen to be covaryied out.


This is my opinion. Others may think differently.

All the best!

Anderson


On 24/08/11 12:51, Alan Francis wrote:

Hi Anderson:
Your explanation is very well put. I have a question. Suppose one is 
looking at High Risk datasets (for example Schizophrenia) where the 
brain morphological alterations are subtle but spread across the 
brain, which covariate would you use?

thanks,
Alan
[Beth Israel Deaconess Medical Center]

On Wed, Aug 24, 2011 at 12:43 PM, Anderson Winkler 
andersonwink...@hotmail.com mailto:andersonwink...@hotmail.com wrote:


A side note: If you are using FS 4.5.0 or earlier, there is also
BrainSegVolNotVent, which discount ventricles. If you want to
capture effects of aging or atrophy, perhaps this could be more
sensitive than BrainSegVol.


On 24/08/11 12:32, Anderson Winkler wrote:

Hi Zuzana,

Yes, you can use BrainSegVol as a measurement of brain volume
(I'd assume you are using FS =4.5.0). Note that there is another
measurement that you might be interested in, the IntraCranialVol.
These measurements tell different things and not necessarily
correlate well one with another depending on the sample. BSV
considers the voxels labelled as GM and WM, including subcortical
structures and cerebellum and so, it correlates better with
amount of GM and WM and tends to be more sensitive to pathology,
atrophy and aging. ICV is more robust to these effects. You may
want to choose the one that is more appropriate to your study.

Also, if you are considering brain volume as a covariate for
cortical thickness, it's not necessary. Thickness correlates
poorly with brain volume, and these two things are not correlated
genetically.

Hope this helps!

All the best,

Anderson


On 24/08/11 05:39, zuzana nedelska wrote:

Hello,

I have a question about calculating brain volume (in mm3) when
performing recon-all.
Do I take brainseg volume in the analysis stream line as
subject's brain volume (in mm3)?

Thank you for reply.


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Re: [Freesurfer] .curv

2011-08-24 Thread Bruce Fischl

Hi Antonella,

.sulc and .curv are not surfaces, they are scalar fields over the surface 
stored in what we informally call curvature  format. Try --surval and 
--fillribbon and see if that gives you what you want.


cheers
Bruce
 On Wed, 24 Aug 2011, 
Antonella Cappelletti wrote:



Thank you Bruce.I have some other questions.
I tried to look at the mri_surf2vol --help to undersand how to use it. I tried 
with this command:
mri_surf2vol --surf curv --hemi lh --template orig.mgz --outvol curv-orig.mgz
but there is something wrong with it.
I'm using the bert folder as example. I don't understand how I have to set the 
input ( lh.curv) and the output ( volume file .mgz) 

Antonella
2011/8/24 Bruce Fischl fis...@nmr.mgh.harvard.edu
  Hi Antonella

  you can use mri_surf2vol to sample either one into the volume and go from 
there.

  cheers
  Bruce

On Wed, 24 Aug 2011, Antonella Cappelletti wrote:

  Hi, I need a sulcal map and I saw that freesurfer can generate .curv and 
.sulc files that have this information.
  It is possibile to convert these formats into a vtk one, or to join the 
information of a .curv file format whit a volumetric one,
  having a
  volumetric file with the infomations of a .curv file?

  --
  Antonella




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Re: [Freesurfer] Procedure to get amygdalar sub-regions and brainstem Brainstem consituents volumes

2011-08-24 Thread Bruce Fischl

Hi Wil

sorry, we don't have anything for that yet, although we are actively 
working on it.


cheers
Bruce
On Wed, 24 Aug 2011, Irwin, William wrote:



Hello-

 

In the FreeSurferColorLUT.txt,v 1.70.2.1 2011/05/02 file, there are labels for 
sub-regions of interest. For example amygdala and brainstem.

 

How does one go about extracting the volumes for these regions?

 

Thank you in advance,

Wil

 

 

#No.  Label Name:   R   G   B   A

7001  Lateral-nucleus   72  132 181 0

7002  Basolateral-nucleus   243 243 243 0

7003  Basal-nucleus 207 63  79  0

7004  Centromedial-nucleus  121 20  135 0

7005  Central-nucleus   197 60  248 0

7006  Medial-nucleus    2   149 2   0

7007  Cortical-nucleus  221 249 166 0

7008  Accessory-Basal-nucleus   232 146 35  0

7009  Corticoamygdaloid-transitio   20  60  120 0

7010  Anterior-amygdaloid-area-AAA  250 250 0   0

7011  Fusion-amygdala-HP-FAH    122 187 222 0

7012  Hippocampal-amygdala-transition-HATA  237 12  177 0

7013  Endopiriform-nucleus  10  49  255 0

7014  Lateral-nucleus-olfactory-tract   205 184 144 0

7015  Paralaminar-nucleus   45  205 165 0

7016  Intercalated-nucleus  117 160 175 0

7017  Prepiriform-cortex    221 217 21  0

7018  Periamygdaloid-cortex 20  60  120 0

7019  Envelope-Amygdala 141 21  100 0

7020  Extranuclear-Amydala  225 140 141 0

 

 

# Label names and colors for Brainstem consituents

# No.  Label Name:  R   G   B   A

170  brainstem  119 159 176 0

171  DCG    119 0   176 0

172  Vermis 119 100 176 0

173  Midbrain   119 200 176 0

174  Pons   119 159 100 0

175  Medulla    119 159 200 0


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Re: [Freesurfer] Procedure to get amygdalar sub-regions and brainstem Brainstem consituents volumes

2011-08-24 Thread Irwin, William
Thanks, Bruce.

That was my assumption, but I thought it was worthwhile asking.

Related, for the hippocampal subfield segmentation, I understand the voxel 
values are the probabilities of belonging to a given subfield.

Is there way to extract a list of voxels with their values for each region? I 
realize this would generate a very long stream of data. But then one could 
post-hoc adjust the number of voxels per region by setting some criteria (e.g., 
the probability of belonging to the fornix has to be 95%).

Thanks,
Wil

|-Original Message-
|From: Bruce Fischl [mailto:fis...@nmr.mgh.harvard.edu]
|Sent: Wednesday, August 24, 2011 12:28 PM
|To: Irwin, William
|Cc: freesurfer@nmr.mgh.harvard.edu
|Subject: Re: [Freesurfer] Procedure to get amygdalar sub-regions and
|brainstem Brainstem consituents volumes
|
|Hi Wil
|
|sorry, we don't have anything for that yet, although we are actively working
|on it.
|
|cheers
|Bruce
|On Wed, 24 Aug 2011, Irwin, William wrote:
|
|
| Hello-
|
|
|
| In the FreeSurferColorLUT.txt,v 1.70.2.1 2011/05/02 file, there are labels 
for
|sub-regions of interest. For example amygdala and brainstem.
|
|
|
| How does one go about extracting the volumes for these regions?
|
|
|
| Thank you in advance,
|
| Wil
|
|
|
|
|
| #No.  Label Name:   R   G   B   A
|
| 7001  Lateral-nucleus   72  132 181 0
|
| 7002  Basolateral-nucleus   243 243 243 0
|
| 7003  Basal-nucleus 207 63  79  0
|
| 7004  Centromedial-nucleus  121 20  135 0
|
| 7005  Central-nucleus   197 60  248 0
|
| 7006  Medial-nucleus    2   149 2   0
|
| 7007  Cortical-nucleus  221 249 166 0
|
| 7008  Accessory-Basal-nucleus   232 146 35  0
|
| 7009  Corticoamygdaloid-transitio   20  60  120 0
|
| 7010  Anterior-amygdaloid-area-AAA  250 250 0   0
|
| 7011  Fusion-amygdala-HP-FAH    122 187 222 0
|
| 7012  Hippocampal-amygdala-transition-HATA  237 12  177 0
|
| 7013  Endopiriform-nucleus  10  49  255 0
|
| 7014  Lateral-nucleus-olfactory-tract   205 184 144 0
|
| 7015  Paralaminar-nucleus   45  205 165 0
|
| 7016  Intercalated-nucleus  117 160 175 0
|
| 7017  Prepiriform-cortex    221 217 21  0
|
| 7018  Periamygdaloid-cortex 20  60  120 0
|
| 7019  Envelope-Amygdala 141 21  100 0
|
| 7020  Extranuclear-Amydala  225 140 141 0
|
|
|
|
|
| # Label names and colors for Brainstem consituents
|
| # No.  Label Name:  R   G   B   A
|
| 170  brainstem  119 159 176 0
|
| 171  DCG    119 0   176 0
|
| 172  Vermis 119 100 176 0
|
| 173  Midbrain   119 200 176 0
|
| 174  Pons   119 159 100 0
|
| 175  Medulla    119 159 200 0
|
|
|
|
|
|The information in this e-mail is intended only for the person to whom it is
|addressed. If you believe this e-mail was sent to you in error and the e-mail
|contains patient information, please contact the Partners Compliance
|HelpLine at http://www.partners.org/complianceline . If the e-mail was sent
|to you in error but does not contain patient information, please contact the
|sender and properly dispose of the e-mail.

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[Freesurfer] pial surfaces totally off

2011-08-24 Thread Reza Farivar
Hello,

I've tried a number of ways to generate pial surfaces for a monkey brain
that has, to my eyes, very clear contrast. The white matter is segmented
without too much pain and is mostly correct, but the pial surface never
completely covers the gray matter. Instead, it either attaches to the
white matter surface or meets the pial surface half way. I've tried more
non-uniformity correction, and even painting in the gray matter more
uniformly so that it could not possibly miss it, yet it does. Are there
some secret parameters (i.e., low, hi gray values, etc. ) that one can
play with it? Any guidance would be much appreciated.

Cheers,

Reza
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[Freesurfer] Cortical Flattening

2011-08-24 Thread Tax, C.M.W.
Dear Doug,

Tank you for your response. The freesurfer wikipage I was following: 
http://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferOccipitalFlattenedPatch
Do I have to do some additional steps?

Thank you in advance,
Regards,
Chantal
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Re: [Freesurfer] Cortical Flattening

2011-08-24 Thread Bruce Fischl
Hi Chantal,

what went wrong? Sorry, I've lost this thread.

cheers
Bruce


On Wed, 24 Aug 2011, Tax, C.M.W. wrote:

 Dear Doug,

 Tank you for your response. The freesurfer wikipage I was following: 
 http://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferOccipitalFlattenedPatch
 Do I have to do some additional steps?

 Thank you in advance,
 Regards,
 Chantal
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Re: [Freesurfer] Cortical Flattening

2011-08-24 Thread Bruce Fischl
Louis just pointed out to me what the thread was about. What operating 
system are you running on? This seems to be a problem in the depths of 
openGL on ubuntu. We haven't seen it on CentOS or red hat.

Bruce
On Wed, 24 Aug 
2011, Bruce Fischl wrote:

 Hi Chantal,

 what went wrong? Sorry, I've lost this thread.

 cheers
 Bruce


 On Wed, 24 Aug 2011, Tax, C.M.W. wrote:

 Dear Doug,

 Tank you for your response. The freesurfer wikipage I was following: 
 http://surfer.nmr.mgh.harvard.edu/fswiki/FreeSurferOccipitalFlattenedPatch
 Do I have to do some additional steps?

 Thank you in advance,
 Regards,
 Chantal
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Re: [Freesurfer] Procedure to get amygdalar sub-regions and brainstem Brainstem consituents volumes

2011-08-24 Thread Bruce Fischl

Hi Wil

Koen will have to answer that one for you
Bruce

On Wed, 24 Aug 2011, Irwin, William wrote:


Thanks, Bruce.

That was my assumption, but I thought it was worthwhile asking.

Related, for the hippocampal subfield segmentation, I understand the voxel 
values are the probabilities of belonging to a given subfield.

Is there way to extract a list of voxels with their values for each region? I 
realize this would generate a very long stream of data. But then one could 
post-hoc adjust the number of voxels per region by setting some criteria (e.g., 
the probability of belonging to the fornix has to be 95%).

Thanks,
Wil

|-Original Message-
|From: Bruce Fischl [mailto:fis...@nmr.mgh.harvard.edu]
|Sent: Wednesday, August 24, 2011 12:28 PM
|To: Irwin, William
|Cc: freesurfer@nmr.mgh.harvard.edu
|Subject: Re: [Freesurfer] Procedure to get amygdalar sub-regions and
|brainstem Brainstem consituents volumes
|
|Hi Wil
|
|sorry, we don't have anything for that yet, although we are actively working
|on it.
|
|cheers
|Bruce
|On Wed, 24 Aug 2011, Irwin, William wrote:
|
|
| Hello-
|
|
|
| In the FreeSurferColorLUT.txt,v 1.70.2.1 2011/05/02 file, there are labels 
for
|sub-regions of interest. For example amygdala and brainstem.
|
|
|
| How does one go about extracting the volumes for these regions?
|
|
|
| Thank you in advance,
|
| Wil
|
|
|
|
|
| #No.  Label Name:   R   G   B   A
|
| 7001  Lateral-nucleus   72  132 181 0
|
| 7002  Basolateral-nucleus   243 243 243 0
|
| 7003  Basal-nucleus 207 63  79  0
|
| 7004  Centromedial-nucleus  121 20  135 0
|
| 7005  Central-nucleus   197 60  248 0
|
| 7006  Medial-nucleus    2   149 2   0
|
| 7007  Cortical-nucleus  221 249 166 0
|
| 7008  Accessory-Basal-nucleus   232 146 35  0
|
| 7009  Corticoamygdaloid-transitio   20  60  120 0
|
| 7010  Anterior-amygdaloid-area-AAA  250 250 0   0
|
| 7011  Fusion-amygdala-HP-FAH    122 187 222 0
|
| 7012  Hippocampal-amygdala-transition-HATA  237 12  177 0
|
| 7013  Endopiriform-nucleus  10  49  255 0
|
| 7014  Lateral-nucleus-olfactory-tract   205 184 144 0
|
| 7015  Paralaminar-nucleus   45  205 165 0
|
| 7016  Intercalated-nucleus  117 160 175 0
|
| 7017  Prepiriform-cortex    221 217 21  0
|
| 7018  Periamygdaloid-cortex 20  60  120 0
|
| 7019  Envelope-Amygdala 141 21  100 0
|
| 7020  Extranuclear-Amydala  225 140 141 0
|
|
|
|
|
| # Label names and colors for Brainstem consituents
|
| # No.  Label Name:  R   G   B   A
|
| 170  brainstem  119 159 176 0
|
| 171  DCG    119 0   176 0
|
| 172  Vermis 119 100 176 0
|
| 173  Midbrain   119 200 176 0
|
| 174  Pons   119 159 100 0
|
| 175  Medulla    119 159 200 0
|
|
|
|
|
|The information in this e-mail is intended only for the person to whom it is
|addressed. If you believe this e-mail was sent to you in error and the e-mail
|contains patient information, please contact the Partners Compliance
|HelpLine at http://www.partners.org/complianceline . If the e-mail was sent
|to you in error but does not contain patient information, please contact the
|sender and properly dispose of the e-mail.


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Re: [Freesurfer] two questions regarding qdec and conjunction analysis is FS

2011-08-24 Thread MCLAREN, Donald
See inline responses.On Wed, Aug 24, 2011 at 7:35 AM, Tetiana Dadakova 
tetian...@gmail.com wrote:

 Dear FS experts,

 I have two questions:

 1. In qdec.table.dat file I am specifying several continuous factors,
 e.g factor1 and factor2. For some subjects factor2 is missing,
 therefore I leave empty space in those cells. When I load a
 qdec.table.dat into qdec, the whole line of the subject with missing
 factor2 is omitted.
 I was wondering if I can make some input into the empty cell, so that
 qdec recognizes that for this subject the value is missing only for
 factor2, and the value for factor1 is present.


I'm not sure about Freesurfer, but in all my work with neuroimaging data
across platforms, missing data in X requires that the subject to be
excluded. The reason is the Y=X1*B+X2*B. Since you don't know X2, you can't
find predicted Y and thus you can't find the error associated with that
subject. Programs that all allow you to keep the subject often impute the
value of the missing data to get the full X matrix or do not use the General
Linear Model to find the solution. The GLM approach inverts the X matrix and
you can't invert a matrix with an empty cell, as far as I know.



 2. Is it possible to do conjunction analysis in FreeSurfer, I mean
 looking at common differences in two groups as compared to the third
 group?


When I do conjunctions, I use a logical AND. There are other ways, but there
are statistical issues. The logical AND will show where group A  group C
and where group B  group C.
To do this, I load the thresholded surfaces into matlab, make them both
binary, multiply one of them by 2, then add the two datasets together. Then
write the data back out to the surface. The new values will be 0 for no
difference in either group, 1 or 2 for a difference in one of the group
comparison, 3 where both groups are different from the third.




 Thank you for your time and help,
 Tanja.
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Best Regards, Donald McLaren
=
D.G. McLaren, Ph.D.
Postdoctoral Research Fellow, GRECC, Bedford VA
Research Fellow, Department of Neurology, Massachusetts General Hospital and

Harvard Medical School
Office: (773) 406-2464
=
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[Freesurfer] Intensity normalization parameters to fix dura included in pial surface

2011-08-24 Thread Martina Ly
Hello freesurfers,
Dura is being included in the pial surface of the superior section of the
brain in about 80% of the subjects (about 200) that I'm processing in fs
version 5.1 on Mac OS X 10.6.8. The T1s were acquired on a GE 3T scanner. It
takes too much time to manually edit the dura and I would not like to do so
much manual intervention on the other 2 time points. Adjusting the watershed
parameters and the -gcut  flag did not help. Would I be able to adjust
nu_correct or mri_normalize (the intensity normalization steps prior to
skull stripping)?

I'm also thinking of using another intensity correction software (i.e.
unicorr) to put back into the freesurfer pipeline but I would prefer a flag
or parameter I can adjust within fs.

Any suggestions would be appreciated!

Best,
Martina
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Re: [Freesurfer] Intensity normalization parameters to fix dura included in pial surface

2011-08-24 Thread Bruce Fischl
Hi Martina
Can you send us one example dataset?
Bruce



On Aug 24, 2011, at 10:52 PM, Martina Ly ly.mart...@gmail.com wrote:

 Hello freesurfers,
 Dura is being included in the pial surface of the superior section of the 
 brain in about 80% of the subjects (about 200) that I'm processing in fs 
 version 5.1 on Mac OS X 10.6.8. The T1s were acquired on a GE 3T scanner. It 
 takes too much time to manually edit the dura and I would not like to do so 
 much manual intervention on the other 2 time points. Adjusting the watershed 
 parameters and the -gcut  flag did not help. Would I be able to adjust 
 nu_correct or  mri_normalize (the intensity normalization steps prior to 
 skull stripping)? 
 
 I'm also thinking of using another intensity correction software (i.e. 
 unicorr) to put back into the freesurfer pipeline but I would prefer a flag 
 or parameter I can adjust within fs. 
 
 Any suggestions would be appreciated!
 
 Best,
 Martina
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