Dear Stephen
I concur with Geraint on the first point, regarding re-slicing.
On the second, in my experience limited data sets will normalise
if you provide a good starting estimate and restrict your spatial
normalisation options - with SPECT data limited in z (top and
bottom of brain missing), I did not have much success applying
non-linear spatial normalisation options and found 12-point linear
only to be best. Emmanuel Stamatakis has been successfully using linear
plus 2 x 2 x 2 non-linear basis functions with lesion data (SPECT),
but I don't think that would help with missing slices.
Regards - Mike
--
---------------------------------------------
Mike Glabus, PhD
Visiting Fellow in Functional Neuroimaging
Unit on Integrative Neuroimaging,
Clinical Brain Disorders Branch, NIMH, NIH
Building 10, Rm 4C101, 9000 Rockville Pike
Bethesda, MD, 20892-1365, USA
Tel: + 301 496 7864 FAX: + 301 496 7437
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> -----Original Message-----
> From: Stephen Fromm [mailto:[log in to unmask]]
> Sent: Monday, July 10, 2000 6:01 PM
> To: SPM mailbase
> Subject: reslice twice? need whole brain?
>
>
> Two questions:
>
> (1) Does one always need to reslice while doing movement
> correction, or is
> coregister alone enough? I'm asking because it appears that
> one can reslice
> later at the spatial normalization stage anyway.
>
> (2) Can one normalize an image not covering the whole brain using a
> "whole-brain template"?
>
> Best wishes,
>
> Stephen Fromm
> NIDCD
>
>
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