actually, if you convert the aparc annotations to a bunch of labels, you can run:

mri_cnr -label <left hemi label name> <right hemi label name> ...

and it will limit the calculations to that label. FOr example:

mri_cnr -label ~/links/subjects/bruce.dev//label/lh.cortex.label ~/links/subjects/bruce.dev//label/rh.cortex.label ~/links/subjects/bruce.dev/surf ~/links/subjects/bruce.dev/mri/norm.mgz reading lh and rh labels from /homes/4/fischl/links/subjects/bruce.dev//label/lh.cortex.label and /homes/4/fischl/links/subjects/bruce.dev//label/rh.cortex.label processing MRI volume /homes/4/fischl/links/subjects/bruce.dev/mri/norm.mgz...
        white = 91.0+-9.7, gray = 57.8+-20.2, csf = 33.6+-15.4
        gray/white CNR = 2.204, gray/csf CNR = 0.910
lh CNR = 1.557
        white = 90.4+-10.0, gray = 57.6+-19.7, csf = 34.6+-15.2
        gray/white CNR = 2.196, gray/csf CNR = 0.851
rh CNR = 1.523
total CNR = 1.540


cheers
Bruce

On Wed, 3 Apr 2019, neuroimage analyst wrote:


        External Email - Use Caution        

Thanks, Dr. Greve. Where can I find the correspondence between the vertices in 
?h.w-g.pct.mgh and
the parcellations? 

On Wed, Apr 3, 2019 at 2:41 PM Greve, Douglas N.,Ph.D. <dgr...@mgh.harvard.edu> 
wrote:
      you can get the contrast from surf/?h.w-g.pct.mgh, which you can average
      over each parcellation. Not sure where you would get the noise term from.

      On 4/3/19 5:23 PM, neuroimage analyst wrote:
      >
      >         External Email - Use Caution
      >
      > I apologize, Dr. Fischl,  that I wasnt clear.
      >
      > We are using Desikan-Killany atlas that has 68 surfaces defined on the
      > atlas, 34 on each hemisphere.
      >
      > I might be wrong, but I was thinking that there should be a way to
      > define CNR of orbitofrontal cortex (OFC), for example. I know that we
      > can get CNR of the whole brain gray/white/CSF but is it possible to
      > get the gray/white/CSF CNR of OFC only? If no, then we report the
      > difference in cortical thickness as we observe. If yes, we want to
      > regress or potentially discard the worst CNR subjects and recompute
      > the statistics. the hope is we can get 68 CNRs for each surface in the
      > Desikan-Killany atlas.--Kindly let me know your suggestions and 
thoughts.
      >
      > Thanks
      >
      > On Wed, Apr 3, 2019 at 2:11 PM Bruce Fischl
      > <fis...@nmr.mgh.harvard.edu <mailto:fis...@nmr.mgh.harvard.edu>> wrote:
      >
      >     can you clarify what you mean? What 68 surfaces do you mean? And
      >     what do
      >     you mean by CNR of a surface?
      >     On Wed, 3 Apr 2019, neuroimage analyst wrote:
      >
      >     >
      >     >         External Email - Use Caution
      >     >
      >     > Hi,
      >     > We were interested in measuring CNR of each of the 68 surfaces
      >     in Desikan-Killany atlas and compare
      >     > between the groups to verify if our results are being biased by
      >     CNRs in the group?
      >     >
      >     > I came across mri_cnr and mris_ms_surface_cnr binaries in the
      >     FreeSurfer tools and were wondering
      >     > how to loop it through each subject in the subject_list.txt file
      >     (each column in subject_list.txt is
      >     > the subject id) so that we get a text file (similar to ?cortical
      >     thickness txt file generated using
      >     > aparcstats2table) that has # of subjects * # of regions txt file
      >     and the entries within each matrix
      >     > cell is the CNR value corresponding to surface X of Subject Y.
      >     >
      >     > We will greatly appreciate any help or pointers regarding this.
      >     >
      >     > Thanks
      >     >
      >     > Regards
      >     >
      >     > --VM
      >     >
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