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.