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Hi,
I would like to create a mask of the WM for fMRI analysis. I read a
previous post in which it was suggested to get the wm segmentation and
erode it, since the result will be exclusively WM. My question is why is
this so? Why can I assume that getting the WM mask from the aseg file will
almost certainly get me high probability WM, >0.9 for example? In most
segmentation algorithms we get posterior probabilities at each voxel, so
that we can then select voxels with posterior probabilities >0.90 for
example. Why is freesurfer's WM segmentation so accurate that we do not
need posterior probabilities? Are these very high probabilities somehow
already coded in freesurfer's segmentation algorithm?
Thanks,
Ben
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