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Efficient tetrahedralization of multi-material images with quality, fidelity, and topological guarantees
Finite Elements in Analysis and Design ( IF 3.5 ) Pub Date : 2022-02-01 , DOI: 10.1016/j.finel.2022.103723
Jing Xu 1 , Daming Feng 1 , Andrey Chernikov 1
Affiliation  

An algorithm is proposed for generating three-dimensional unstructured tetrahedral meshes of multi-material images. The algorithm produces a mesh whose boundary is proved to be homeomorphic to the object surface. In addition, it provides a guaranteed dihedral angle bound of up to 19.47 for the output tetrahedra. Moreover, it allows for user-specified guaranteed bounds on the distance between the boundaries of the mesh and the boundaries of the materials. It produces a small number of mesh elements that comply with these guarantees, and is compatible in performance with other software. The algorithm offers all of the following properties: bounded dihedral angles, customized two-sided Hausdorff distance, topological faithfulness, a small number of elements, and run-time performance. The experimental evaluation on synthetic and real medical data illustrates the efficiency and effectiveness of the method.



中文翻译:

具有质量、保真度和拓扑保证的多材料图像的高效四面体化

提出了一种生成多材料图像三维非结构化四面体网格的算法。该算法产生一个网格,其边界被证明与物体表面同胚。此外,它还提供了一个有保证的二面角界限,最高可达19.47为输出四面体。此外,它允许用户指定网格边界和材料边界之间距离的保证边界。它生成少量符合这些保证的网格元素,并且在性能上与其他软件兼容。该算法提供以下所有属性:有界二面角、自定义两侧 Hausdorff 距离、拓扑忠实度、少量元素和运行时性能。对合成和真实医学数据的实验评估说明了该方法的效率和有效性。

更新日期:2022-02-01
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