Dear FSL users /Mark,
Some further comments on segmentation with FAST: having followed the steps
as outlined in previous post, I get segmented GM (in subject's native
space):  using priors throughout (-a -P), as well as  using priors
only to initialize parameter estimation (-a), or  without using priors at
Looking at the binary images (_seg), I get best results for basal ganglia
when I do not use priors , and they become worse as I move to  and 
(in the latter virtually no putamen!) - wasn't it supposed to be the other
Indeed, when I look at the probability maps (_pro), basal ganglia become
clearer as I move from  to [1: priors used throughout]; in  the
probabilistic BG segmentation is brilliant.
Any comments would be greatly appreciated :)
Would anybody know what the weird _gm_stdspace.nii.gz images I get when
using priors are? On two planes only part of the brain shows.
All the best,
Yannis Paloyelis, M.Sc.
Room C3.18 (P080)
MRC Social Genetic and
Developmental Psychiatry Centre
Institute of Psychiatry,
King's College London
De Crespigny Park
SE5 8AF London