Continuous Trajectories from Discrete Anatomical Shapes

The study of time dependent shapes is an emerging field in Computational Anatomy, with potential application to early brain development, aging studies, or the analysis of evolving pathologic structures. As longitudinal data becomes more widely available, the need for computer models of anatomical evolution becomes increasingly important. In this work, we propose a new type of growth model parameterized by acceleration.