Hi Jose,
This seems like a pretty complicate thing to do. I'd use the normalization module, not segmentation and dartel. Your images are still PET, not MRIs.
What I'd do is to either normalize your original FDG PET scan to an FDG template and then apply the same transformation to the PVC corrected gray only images, or to build somehow an atlas of PVC corrected PET scans and use it to normalize your processed PETs.
Cheers,
Luca
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Da: SPM (Statistical Parametric Mapping) <[log in to unmask]> per conto di Jose L. Cantero <[log in to unmask]>
Inviato: mercoledì 9 marzo 2016 15.46
A: [log in to unmask]
Oggetto: [SPM] voxel-wise PET analysis with SPM12
Dear colleagues,
I have applied partial volume correction (PVC) and cerebellum normalization to cerebral FDG-PET images using the PMOD software. These images are in the individual space.
Now, I would like to perform voxel-wise statistical comparisons with SPM12 but I am not sure which would be the best way to proceed. I was wondering if I should apply segmentation and Dartel before MNI normalization, or should go directly to spatial normalization in SPM12. Given that my PVC PET images are only from grey matter, I suppose that this should be done in a different manner.
Thank you very much in advance.
Best regards,
Jose L. Cantero
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