Tetrahedral Mesh Generation of Human Cardiac Model from Imaging Dataset

摘要

In this paper, the problem of the complicated human heart modeling is considered for biomechanical simulation purpose, and a grid-based tetrahedral meshing algorithm is presented. Preprocessing of the medical slices is performed first to extract the geometry of the cardiac model, and then a tagged background grid is built upon the imaging dataset for volumetric triangulation. The surface triangles are constructed by the dual contouring method, and tetrahedral elements are extracted fast from the background grid by using the predefined stencils. With a graded background grid, the generated mesh of cardiac model has finer tetrahedra near the boundary while coarser ones insides the domain, helping reduce the computational time of biomechanical analysis and keeping its accuracy as well.