Hi Hojat,
> Thanks, I know how the warps that are estimated during the
> segmentation process are written out. The thing I cam not
> understand is why the deformation fields which are used to
> warp probability images inorder to register them with segmented
> parts can be used to normalize the whole fMRI images.
The main result from the unified segmentation step is a set of
parameters that warp the tissue template template to image (i.e., how do
I have to deform the priors from MNI space to match the original
native-space image).
The inverse of this, simply speaking (as far as I understood John, it is
not quite that simple :) will consequently deform the original image to
match the prior in normalized space (i.e., normalize the image).
Hope this helps,
Marko
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Marko Wilke (Dr.med./M.D.)
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Universitäts-Kinderklinik University Children's Hospital
Abt. III (Neuropädiatrie) Dept. III (Pediatric neurology)
Hoppe-Seyler-Str. 1, D - 72076 Tübingen
Tel.: (+49) 07071 29-83416 Fax: (+49) 07071 29-5473
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