Delaunay Mesh Reconstruction from 3D Medical Images Based on Centroidal Voronoi Tessellations

Reconstructing meshes from 3D medical images is an important but complicated task, which provides a fundamental data structure for bio-medical applications. In this paper, a novel and easily implemental solution is proposed. Instead of following the popular methods, we sample on the medical images with centroidal Voronoi tessellations, and then build the Delaunay mesh from the sampled points directly. By applying the algorithm on the CT images and evaluating the mesh quality metrics, the solution presents to be good at reconstructing complicated objects and generates optimized meshes, which shows that it is suitable for anatomical structure modeling.