Hello everybody,
what I am trying to do is to semiautomatically segment stroke lesions. Basically I would like to do it like Petkova et al. in 2010 (--> http://www.ncbi.nlm.nih.gov/pubmed/21045177).
Besides providing an image (see below) they described their way of segmentation (after BET and registration which is no problem) as follows: "... (c) manual three-dimensional definition of a mask encompassing the area of high signal intensity on DW images followed by automatic three-dimensional stroke segmentation (Functional Magnetic Resonance Imaging of the Brain automated segmentation tool) (briefly, this corresponded to segmentation of the DW voxels within the mask into six gray-level classes, keeping only voxels of the two highest classes)..."
[cid:b0542797-8ac5-47e2-bb0d-a6408575d5d5]
This seems like a pretty good idea - by defining a mask roughly encompassing the stroke area and constraining the FAST segmentation to this region one could exlude all other "bright voxels" in the brain from inclusion into the segmentation.
Maybe anyone has an idea on how to accomplish this?
Thanks a lot and best regards,
Matias
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