Got it, thanks! I have already performed smoothing on the MGX surfaces so I’d like to proceed with mri_surf2vol.
According to the “hidden secrets of success” for mri_surf2vol, there are 2 methods. Is the command below correct?
mri_surf2vol --so lh.bp.nii.gz (the PET surface BPNDs) --so rh.bp.nii.gz --subject fsaverage --o smoothed.bpnd.in.volume.nii.gz
The next step is to bring the volumes into CVS-MNI152 space. Mri_cvs_register has been done on the T1.
Thanks Doug.
Best Wishes, Elijah
Dr. Elijah Mak, Research Associate Department of Psychiatry Old Age Psychiatry Group | Cambridge Intellectual & Developmental Disabilities Research Group University of Cambridge Trinity College, CB21TQ, UK http://www.neuroscience.cam.ac.uk/directory/profile.php?fkm24
On 16 Oct 2017, at 16:08, Douglas Greve greve@nmr.mgh.harvard.edu wrote:
it comes down to have you smooth it. If you do it in the volume, then you need to smooth it in the volume, and that is an invalid analysis with MG.
On 10/13/17 8:42 PM, Elijah Mak wrote:
Hi Doug,
I wonder what is the difference between this approach (mri_surf2vol) as opposed to doing the MRTM2 modelling on the MGX GM output (58 frames), which will give us the bp.nii.gz in volume space?
Thanks.
Best Wishes, Elijah
On 13 Oct 2017, at 16:19, Douglas Greve greve@nmr.mgh.harvard.edu wrote:
do you mean you want to map the surface-based data into the volume? If so, you can use mri_surf2vol. If you want to analyze your pet data in the volume you can just do that with mri_glmfit
On 10/5/17 4:59 PM, Elijah Mak wrote:
Hi Doug,
Referring to the PETSURFER tutorial for dynamic PET data, I am wondering if it is possible to obtain a volume-based equivalent of mrtm2.lh.sm05/bp.nii.gz? As I understand, bp.nii.gz is the partial-volumed corrected output that has been sampled onto the fsaverage surface.
Thanks for your time again.
Best Wishes, Elijah
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