Hi Bruce!

Ok I see, great! Tank you!

So to double check, this will be something like :

mri_vol2surf \


  --mov /mri/nu.mgz \
  --ref /mri/nu.mgz \

  --surf /surf/lh.white
  --projdist mmdist -2 \ # for inside white


  # --projdist mmdist 2 \ # for outside white
  --interp trilinear \
  --hemi lh \
  --out lh.nu_inside_white.mgh



I am not sure which one to use from those, as I want to compare stable
values but distant from white.

   --projfrac-avg min max del : average along normal
   --projdist mmdist : distance projection along normal
   --projdist-avg min max del : average along normal

What would you recommend?

Thank you again!
Markus








2014-03-24 21:29 GMT+01:00 Bruce Fischl <fis...@nmr.mgh.harvard.edu>:

> Hi Markus
>
> I wouldn't use brainmask as it has been normalized too aggressivley. Maybe
> the nu.mgz. Look at the difference between values just outside of it and
> just inside of it
>
>
> cheers
> Bruce
>
>
> On Mon, 24 Mar 2014, Markus Gschwind wrote:
>
>  Dear Bruce,
>> Thanks for the rapid answer!
>>
>> Do you mean that I take the voxel values of brainmask.mgz at the place
>> where
>> the ?h.white surface passes, right?
>>
>> I thought that the ?l.white surface marks the limit between GM and WM as a
>> result of a binary decision.
>> I would be interested in the local certainty of this decision. I thought
>> this is represented by the slope between the values around 70 and those
>> >100.
>>
>> Thanks again,
>> Markus
>>
>>
>>
>>
>>
>>
>> 2014-03-24 19:26 GMT+01:00 Bruce Fischl <fis...@nmr.mgh.harvard.edu>:
>>       Hi Markus
>>
>>       I would think that looking at the gray/white contrast across the
>>       ?h.white surface would be more informative
>>
>>       cheers
>>       Bruce
>>       On Mon, 24 Mar 2014, Markus Gschwind wrote:
>>
>>             Dear all,
>>             I would like to capture regions where the gray
>>             matter/ white matter junction is blurred in order to
>>             detect possible focal
>>             cortical dysplasias.
>>
>>             As I understood the WM/GM segmentation is done by
>>             the script mri_segment.
>>
>>             Would it be possible detect those regions where the
>>             gradient between GM and WM regions is low?
>>
>>             I imagined that running mri_segment several times,
>>             with each time a different lower GM threshold and
>>             higher WM threshold, and
>>             then calculating the diference between the results,
>>             might give such information.
>>
>>             I am very much interested in what you think about
>>             this approach and how to do it practically.
>>
>>             For info here are the optional flags of mri_segment:
>>
>>             -slope <s>
>>
>>             set the curvature slope (both n and p)
>>
>>             -pslope <p>
>>
>>             set the curvature pslope (default=1.0)
>>
>>             -nslope <n>
>>
>>             set the curvature nslope (default=1.0)
>>
>>             -debug_voxel <x y z>
>>
>>             set voxel for debugging
>>
>>             -auto
>>
>>             automatically detect class statistics (default)
>>
>>             -noauto
>>
>>             don't automatically detect class statistics
>>
>>             -log
>>
>>             log to ./segment.dat
>>
>>             -keep
>>
>>             keep wm edits. maintains all values of 0 and 255
>>
>>             -ghi, -gray_hi <h>
>>
>>             set the gray matter high limit (default=100.000)
>>
>>             -wlo, -wm_low <l>
>>
>>             set the white matter low limit (default=90.000)
>>
>>             -whi, -wm_hi <h>
>>
>>             set the white matter high limit (default=125.000)
>>
>>             -nseg <n>
>>
>>             thicken the n largest thin strands (default=20)
>>
>>             -thicken
>>
>>             toggle thickening step (default=ON)
>>
>>             -fillbg
>>
>>             toggle filling of the basal ganglia (default=OFF)
>>
>>             -fillv
>>
>>             toggle filling of the ventricles (default=OFF)
>>
>>             -b <s>
>>
>>             set blur sigma (default=0.25)
>>
>>             -n <i>
>>
>>             set # iterations of border classification
>>             (default=1)
>>
>>             -t <t>
>>
>>             set limit to thin strands in mm (default=4)
>>
>>             -v
>>
>>             verbose
>>
>>             -p <p>
>>
>>             set % threshold (default=0.80)
>>
>>             -x <filename>
>>
>>             extract options from filename
>>
>>             -w <w>
>>
>>             set wsize (default=11)
>>
>>             -u
>>
>>             usage
>>
>>
>>
>>             Thank you very much for all comments!
>>
>>             Markus
>>
>>
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