Dear All,
recently, Catriona Good (et al 2001, NeuroImage 14, 21-36) suggested to
not simply segment normalized images, but rather to
- segment in native space
- normalize to the GM-template within SPM
- apply these parameters to the original whole brain and
- segment the "optimally" normalized whole brain again
in order to base the normalization primarily on GM and to minimize
non-brain tissue influence.
I (think I) understand that the second normalization and segmentation is
done with consideration of the more optimal non-linear normalization.
Since I intend to do only an affine normalization anyway, I think I
might as well just use the native GM-images and normalize them to the
GM-template, omitting the "second round". Right or wrong ?
Thanks for your input
Marko
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Marko Wilke, MD
Research Fellow, Imaging Research Center
Children's Hospital Medical Center Cincinnati
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