The deformable most-likely-point paradigm.

•Presenting a novel deformable registration paradigm using statistical shape models.•Developed three algorithms that use different features and noise model assumptions.•Experiments with simulated data show submillimeter registrations, reconstructions.•Preliminary results on in-vivo clinical data also show promising results.