Morphology-preserving smoothing on polygonized isosurfaces of inhomogeneous binary volumes

Polygonized isosurfaces of anatomical structures commonly suffer from severe artifacts (e.g.,?noise and staircases), due to inhomogeneous binary volumes. Most state-of-the-art techniques can reduce these artifacts but inevitably ruining anatomical structures' morphology. Given an initial polygonization of an isosurface, we first eliminate these apparent staircases based on a context-aware Laplace filter, and then solve the morphology-preserving problem of anatomical structures as an optimization of the local spatial quadrics (LSQ) of fitted Bezier surfaces during mesh evolution. This results in a conceptually simple approach that provides a unified framework for not only handling artifacts, but also for enabling the morphology preservation of anatomical structures. We design an effective mesh smoothing framework that focuses on medical data.The LSQ gives an isosurface mesh a compact approximation to the underlying surface.We improve the staircase detection strategy by a novel cascaded operation.