That looks like a good strategy, and is the way that people used to do
"optimised VBM". This is done automatically by the segmentation routine of
On Tuesday 15 April 2008 17:28, Randolph Andrews wrote:
> I think I have the solution. I segmented both the template (yes
> to "spatially normalized") and the source (no to "spatially
> normalized"). I then used the GM seg-image from the template as the new
> target and the GM seg-image from the source image to do spatnorm. Re-
> applying the *_sn.mat" to the original source T1 (and its co-registered
> PET image) gave much much better results.
> If anyone has another solution, that's fine, but I think I'm OK.