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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.