Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes

摘要: Establishing correspondence points across a set of biomedical shapes is an important technology for variety applications that rely on statistical analysis individual subjects and populations. The inherent complexity (e.g. cortical surface shapes) variability cardiac chambers) evident in many introduce significant challenges finding useful dense correspondences. Application specific strategies, such as registration simplified inflated or smoothed) surfaces relying manually placed landmarks, provide some improvement but suffer from limitations including increased computational ambiguity landmark placement. This paper proposes method point shape ensembles using geodesic distances to priori landmarks features. A novel numerical techniques fast computation sets used extract these proposed minimizes the ensemble entropy based features, resulting isometry invariant correspondences very general, flexible framework.