Dear SPMers,
I have run a series of first level analysis and I am trying to find a quick method to detect "crappy" masks. So far I have created conjunction images with my grey matter binary template and my resulting binary masks and was counting {sum(output3(:))} the amount of voxels in the resulting image.
This method is not giving me the info that I am looking for as the mask that is partially ok gives me an answer of 5346 and the bad mask gives me an answer of 5394. It's clear that the answer I get from {sum(output3(:))} it is not reflecting the number of "white" voxels.
Are you aware of any other method I could use to have a count of number of voxels in masks that I could apply to have gross cutoff information of very bad ones?
Thanks tons!
V
|