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A Novel Biomedical Meshing Algorithm and Evaluation based on Revised Delaunay and Space Disassembling

机译:一种新的生物医学网格化算法与基于修订的Delaunay和空间拆卸的评估

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The tetrahedral mesh generation part in Finite Element Method (FEM) of soft tissue simulation is difficult to be realized by traditional mesh algorithms because of the requirements of boundary preservation and quality of all tetrahedra. Aiming to meet the real-time requirement of FEM, we propose a revised Delaunay algorithm with many improved methods, including background gird, random point disarrangement, radial method and visibility check. In this paper, two tetrahedral mesh generation algorithms including Space-Disassembling and the revised Delaunay algorithm, are presented based on different mesh requirements. And a comparison of Space-Disassembling Mesh Algorithm, traditional Delaunay algorithm and the revised Delaunay algorithm is processed based on some pivotal criteria.
机译:由于边界保存和所有Tetrahedra的质量的要求,难以通过传统网格算法实现软组织模拟的有限元法(FEM)的四面体网格产生部分。旨在满足FEM的实时要求,我们提出了一种具有许多改进方法的修订后的Delaunay算法,包括背景曲线,随机点脱离,径向方法和可见性检查。在本文中,基于不同的网格要求,提出了包括空间拆卸和修订Delaunay算法的两个四面体网格生成算法。并且基于一些关键标准处理了空间拆卸网格算法,传统的Delaunay算法和修订的Delaunay算法的比较。

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