A New Feature Coherence-Penalized Dynamic Minimal Path Model for Tubularity Centerline Delineation PP

We propose a dynamic scheme for minimal path computation and tubular centerline extraction. The main contribution lies at the construction of a coherence-penalized Riemannian metric during the geodesic distance computation, dependently of local tubular geometry and an external scalar-valued reference feature map. The geodesics associated to the proposed metric favour to pass through a set of vessel segments with low variations of the feature map, thus can avoid the short branches combination problem.

This is poster number 41 in Poster Session

Da Chen (University Paris Dauphine, PSL Research University)
Laurent D. Cohen (University Paris Dauphine, PSL Research University)
geodesic, image segmentation, nonlinear optimization, partial differential equation models, retinal vessel segmentation