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Hi Dr Greve, We are looking to apply voxelwise PVC on our dynamic contrast-enhanced (DCE) MRI data using methods implemented in PETSurfer. Our DCE MRI data voxelsize =1x1x5mm, and we have used the Patlak model to estimate the transfer coefficient (Ktrans). We are interested in both GM and WM signals. I have a few specific questions regarding the applicability and execution of PVC in our case:
1. Given that the Müller-Gärtner (MG) method assumes constant WM signals and zero CSF signals (which is more suited to PET studies), it seems this may not be optimal for us. Would the RBV or Meltzer (MZ) methods be more appropriate for our DCE MRI data? 2. Should PVC be applied to the 4D dynamic DCE data before dynamic modeling, or directly to the 3D Ktrans map after modeling? 3. Does the point spread function (PSF) of the MRI scanner cause more PVE than the TFE?
Additionally, I have one more question about the outputs of the MG PVC method. Could you clarify the role of mgx.gm in the results? Does it the combination of mgx.ctxgm and mgx.subctxgm? Looking forward to your reply. Thank you in advance, Shen