yes, in the gtm.stats file. See
https://surfer.nmr.mgh.harvard.edu/fswiki/PetSurfer for docs
On 4/26/2022 3:29 PM, Zhener Zhang wrote:
External Email - Use Caution
Thank you, Douglas!
Is it possible to extract the number of voxels in each segment [of the
FreeSurfer DK atlas]?
We are hoping to ‘reverse’ the spatial averaging process to get the
sum of expression level in each ROI.
Thanks,
ZZ
On Apr 25, 2022, 11:34 -0700, Zhener Zhang <zhe...@stanford.edu>, wrote:
Hi Douglas,
Thanks! We ran the following for one of our subjects:
mri_gtmpvc --i sz013_BPnd.nii --reg sz013_BPnd.reg.lta --seg
~/sz013/mri/gtmseg.mgz --default-seg-merge --no-tfe --no-rescale
--o ~/sz013/gtmpvc.output
Thanks,
ZZ
On Apr 24, 2022, 13:45 -0700, Zhener Zhang <zhe...@stanford.edu>, wrote:
Hi Douglas,
Thank you for the reply!
The mri_gtmpvc outputs were expected and there was no reason for us
to suspect that something was wrong. I was just curious as to the
general process behind PETSurfer’s ROI-wise value calculation. Was
each ROI-wise output generated by averaging across all voxels of an ROI?
Thanks!
Zhener Zhang
On Apr 20, 2022, 09:50 -0700, Zhener Zhang <zhe...@stanford.edu>, wrote:
Hello,
I have a question regarding the way ROI-wise values are calculated
using PETSurfer.
We ran the PETSurfer pipeline with PVC=0 and noticed that a
relatively small ROI like Putamen has one of the highest values of
regional distribution of a PET tracer.
Is it the case that the PETSurfer ROI-wise value outputs were
averaged, or normalized by each ROI’s volume? And what measure was
divided, GM volume, number of voxels, or something else?
Thank you in advance!
Best regards,
Zhener
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