A diagnostic imaging apparatus (10) performs stochastic model-based segmentation of diagnostic images of a subject. A plurality of stacks of slice images (22) are generated with each stack displaced in time. Multiple solutions of the organ shapes are computed from the stacks of slice images in the form of a plurality of shape samples (26). The samples are generated (24) according to a Bayesian model describing the conditional distribution of the shape given the images and at least one functional parameter (32) is derived for each of the samples. A probability value (30) is derived for each parameter and displayed (36, 38). |