Patent ID: 8570323

Claim:
A method comprising: receiving a data set that includes a plurality of voxels, each voxel corresponding to a location within a volume, each voxel including a measure of a physical property at the location of the voxel, defining a plurality of tissue types or tissue mix, determining a likelihood of each tissue type or tissue mix contributing to the measure at each voxel, the likelihood of each tissue type forming a plurality of likelihoods associated with each voxel, determining a classification of each voxel based on the associated plurality of likelihoods, and providing a display based on the classification of select voxels; wherein determining the likelihood includes: determining a first gradient magnitude at the voxel, determining an average measure and a second gradient magnitude in a neighborhood around the voxel, and fitting the measure, average measure, first gradient, and second gradient to a model of expected behavior for select tissue transitions to provide a best-fit estimate of the likelihood of the select tissue transition.