Quality meshing based on STL triangulations for biomedical simulations

摘要

This work describes an automatic approach to recover a high-quality surface mesh from low-quality or oversampled inputs (STL-files) obtained from medical imaging through classical segmentation techniques. The approach combines a robust method of parametrization based on harmonic maps (Int. J. Numer. Meth. Engng. 2009; accepted) with a recursive call to a multi-level edge partitioning software. By doing so, we are able to get rid of the topological and the geometrical limitations of harmonic maps. The overall remeshing procedure is implemented, together with the finite element discretization procedure required for computing harmonic maps, in the open-source mesh generator Gmsh (Int. J. Numer. Meth. Engng. 2009; 79(11):1309-1331). We show that the proposed method produces high-quality meshes and we highlight the benefits of using those high-quality meshes for biomedical simulations.