is there an easy way to extract labelfields for the different VOIs (white matter, grey matter, skin, etc.)? End goal is to create a 4D .nii with a 3D image per VOI. Background would also be nice. The values can be binary or probabilistic, we don't mind (as long as sum =1).
Our initial thought was to use petNoise=0, petSigma=0 and then do value-based labelfields, but I'm not sure what happens when you have a mixture of two VOIs in the same voxel.
is there an easy way to extract labelfields for the different VOIs (white matter, grey matter, skin, etc.)? End goal is to create a 4D
.niiwith a 3D image per VOI. Background would also be nice. The values can be binary or probabilistic, we don't mind (as long as sum =1).Our initial thought was to use
petNoise=0, petSigma=0and then do value-based labelfields, but I'm not sure what happens when you have a mixture of two VOIs in the same voxel.