Dear Luca,
Unified segmentation was described in
J. Ashburner and K.J. Friston. NeuroImage, 26:839-851, 2005.
and was made available in SPM5.
In SPM8, there was a New Segmentation toolbox that was described in the
release notes:
http://www.fil.ion.ucl.ac.uk/spm/software/spm8/SPM8_Release_Notes.pdf
It then became the default Segment in SPM12, slightly modified, see:
http://www.fil.ion.ucl.ac.uk/spm/software/spm12/SPM12_Release_Notes.pdf
The normalisation algorithm you used for PET is now available as the Old
Normalise toolbox in SPM12, and similarly, the initial unified
segmentation is now the Old Segment toolbox.
Best regards,
Guillaume.
On 14/12/16 13:33, PRESOTTO LUCA wrote:
> Dear SPM experts,
>
> I have large experience in PET imaging, but I'm struggling a bit with MRIs, therefore I wanted to ask a couple of questions on how MRI analysis are run/were run. For PET the standard is what is now called "old normalize", and it makes sense to minimize the sum of squared differences between two FDG images, where all the signal is in the gray matter and almost nothing elsewhere.
> Was this same module the standard for T1 images? It seems to me that, given the low contrast between gray and White matter it wouldn't work as well, on top of the confounding effects of outside structures.
> When did the unified segmentation/normalization algorithm become the standard? Only in SPM12? I've read very old papers describing the unified segmentation!
>
> Finally, can anyone describe me how does the "new segment" works? I read that an older version still used the DCT basis to deform the image, but this has been visibly changed in the SPM12 version. But I didn't manage to find a single reference describing the differences in this new version.
>
> Thank you a lot,
> Luca
>
>
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--
Guillaume Flandin, PhD
Wellcome Trust Centre for Neuroimaging
University College London
12 Queen Square
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