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): [1] using priors throughout (-a -P), as well as [2] using priors
only to initialize parameter estimation (-a), or [3] without using priors at
all.
Looking at the binary images (_seg), I get best results for basal ganglia
when I do not use priors [3], and they become worse as I move to [2] and [1]
(in the latter virtually no putamen!) - wasn't it supposed to be the other
way round?
Indeed, when I look at the probability maps (_pro), basal ganglia become
clearer as I move from [3] to [1: priors used throughout]; in [1] 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.
many thanks!
All the best,
Yannis
--
Yannis Paloyelis, M.Sc.
PhD Student
Room C3.18 (P080)
MRC Social Genetic and
Developmental Psychiatry Centre
Institute of Psychiatry,
King's College London
De Crespigny Park
SE5 8AF London
Tel. +44-20-7848-5403
Fax +44-20-7848-0866
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