Dear all,
I've been reading the manuscript on version 6 freesurfer hippocampal subfield segmentation "A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: application to adaptive segmentation of in vivo MRI"
Can you please tell me if the type of sequence (e.g. coronal T2FLAIR vs T2STIR) and voxel sizes of .4x.4x2mm^3 vs .4x.4x4mm^3 really make a difference for this multi-modal algorithm? I previously ran recon-all on 1mm isotropic T1-w scans all with similar contrast.
It seems that the mesh fitting in version 6 is driven by the relation of the subfields to each other rather than by contrast or signal intensities; and also I notice the algorithm brings everything to isotropic space anyway.
Is this correct? Do you see a major methodological issue when using T2FLAIR (.4x.4x4mm^3) and T2STIR (.4x.4x2mm^3) subfield volumes together?
Thank you very much, Best wishes, Barbara
P.s. as a side-note, I've not noticed any major differences in subfield segmentations visually, when comparing segmentations via these two different T2 scans.