Hi Ben,
in SPM5, you can set your options within the segmentation procedure to
output modulated normalized segmented images, which you will then only
have to smooth in order to enter them into the statistical analysis (if
modulated images are what you want, I will not go there discussing if
you do :) Check our the options after clicking on segment. And yes,
values between 0 and 1 in segmented images are quite allright,
reflecting the likelyhood of belonging to this tissue class.
Best,
Marko
Benjamin Kelemen schrieb:
> Hello,
>
> This is a really basic question. There have been some questions at my lab
> about the vbm process pipeline. These may just be confusions left over from
> the switch from the optimized pipeline to the spm5 pipeline. I'm just
> learning the vbm process and want to make sure I've got it down. Do I
> modulate, normalize, and smooth the actual gray matter segmentations? Or
> are the outputs from the segment function a probability mask that I multiply
> times my original images to get segmented images? I tried things the first
> way and all my values were between 0 and 1 which doesn't seem quite right.
>
> Thanks for your patience. I know this is really quite basic.
>
> Ben
>
>
--
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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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