Automatic classification of tissues on pelvic MRI based on relaxation times and support vector machine
Fig 5
Probabilistic shape prior creation.
Starting from training images, the center of mass is localized (a). Then, every voxel in the ROIs is translated into an accumulator grid (b) and the instances of every different tissue in the different bins are counted to create the probabilistic map (c). From the probabilistic map, six-features descriptors are formed: air, fat, muscle, bone marrow, prostate and bladder.