Hello Doug,

Thanks for your answer!
I already tried this workflow but basically I am interested in a
surface-based analysis. Is it possible by using this workflow to get the
any stats.dat just for surface-ROIs?

Best,
Benjamin Spurny


On Fr, 29.01.2016, 01:34, Douglas N Greve wrote:
>
>
> On 01/28/2016 06:50 PM, Pradeep wrote:
>> Hello Doug,
>>
>> I have used the gtmseg with --keep-cc  flag and the corresponding ctab
>> files showed the labels but the mri_gtmpvc step failed.
>> ****
>> Loading seg for gtm gtmseg.mgz
>> Loading seg ctab gtmseg.ctab
>> Reading gtmseg.lta
>> Replacing 18
>> ERROR: CheckSegTissueType() no entry for seg 192
>> Failed tissue type check
>> ****
> What is your mri_gtmpvc command line? What is the rest of the terminal
> output?
>> My objective is to use the combination of all CC's as a reference
>> region and obtain the PVC results, which would be listed in
>> gtm.stats.dat
> It will be best to combine them when running mri_gtmpvc using --replace,
> eg, --replace 252 251 --replace 253 251 --replace 254 251 --replace 255
> 251
> this will cause all segments of the CC to appear to be a single segment
> (251).
>>
>> Also, I read in the previous email discussions that the default
>> ref-region Pons is 'PVC'ed'. So if I want to calculate the SUVR with
>> another ROI as a reference region,
>> would it be OK take a ratio of the ROI's in gtm.stats.dat table.
> Yes, or you can spec the new region, eg --rescale 251
>>
>> Thanks,
>> Pradeep
>>
>> On Mon, Jan 11, 2016 at 9:25 AM, Douglas N Greve
>> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>>
>>
>>     If you want to use partial volume correction, then you are better
>> off
>>     using mri_gtmpvc with the bbr registration, something like
>>
>>     1. To start, run
>>
>>     gtmseg --s subject
>>
>>     This will take a couple of hours and produces some files needed
>>     for GTM
>>     PVC (which is used for GTM, MG, RBV).
>>
>>     2. You'd then register the PET to the anatomical with bbregister
>>     (probably with --t2 weighting). Make sure to save the output as an
>> LTA
>>     (--lta). I usually use the mean TAC as the input. You can do this in
>>     parallel with #1.
>>
>>     3. You'd then run mri_gtmpvc, something like
>>
>>     mri_gtmpvc --i pet.nii.gz --psf PSF  --auto-mask PSF+2 .01 --seg
>>     gtmseg.mgz
>>     --reg reg.lta --default-seg-merge  --o gtmpvc.output
>>
>>     PSF is the point-spread FWHM of the scanner; reg.lta is the
>>     registration from #2. By default, this will scale by pons. The
>> output
>>     will be gtm.stats.dat and gtm.nii.gz. They both basically have the
>>     same information. gtm.stats.dat is an easy to read text file. Where
>>     each row is an ROI, something like:
>>
>>     9   17 Left-Hippocampus                subcort_gm       473
>>     174.083        1.406       0.1216
>>
>>     9 = nineth row
>>     17 = index for RO
>>     Left-Hippocampus = name of ROI
>>     subcort_gm = tissue class
>>     473 = number of PET voxels in the ROI
>>     174 = variance reduction factor for ROI (based on GLM/SGTM)
>>     1.406 = PVC uptake of ROI relative to Pons
>>     0.1216 = resdiual varaince across voxels in the ROI
>>
>>     gtm.nii.gz is a nifti file with each "voxel" being an ROI. The value
>>     is the PVC uptake of ROI relative to Pons. These can easily be
>>     concatenated together (mri_concat) and used as input to mri_glmfit
>>     for group analysis.
>>
>>
>>
>>
>>     On 01/08/2016 04:22 AM, Benjamin Spurny wrote:
>>     > Dear Freesurfer experts!
>>     >
>>     > I am currently working on PET analysis using FS
>>     >
>>     > I coregistered my PET with the processed MR using bbregister,
>>     > transfered it to a surface using mri_vol2surf
>>     > and now createt an overlay in freeview with the lh.inflated and
>>     used the
>>     > labels from the lh.aparc.a2009s.annot file.
>>     >
>>     > In freeview i get the corresponding BP value for each vertex now
>> but
>>     > is there a way to get a list of vertices with the corresponding
>>     BP value
>>     > and the corresponding ROI this vertex belongs to?
>>     > Or is there a better to do this analyis?
>>     >
>>     > Many thanks in advance!
>>     >
>>     > Benjamin
>>     >
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>>     >
>>     >
>>
>>     --
>>     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>
>>
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>>     <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
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>>     www.nmr.mgh.harvard.edu/facility/filedrop/index.html
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>>
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>
> --
> 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
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> www.nmr.mgh.harvard.edu/facility/filedrop/index.html
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>
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