New software developments for quality mesh generation and optimization from biomedical imaging data

被引：7
|
作者：
Jun, Zeyun [1 ]
Wang, Jun [1 ,2 ]
Gao, Zhanheng [1 ,3 ]
Xu, Ming [1 ]
Hoshijima, Masahiko [4 ]
机构：
[1] Univ Wisconsin, Dept Comp Sci, Milwaukee, WI 53201 USA
[2] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing, Jiangsu, Peoples R China
[3] Jilin Univ, Coll Comp Sci & Technol, Changchun, Peoples R China
[4] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA
来源：
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2014年 / 113卷 / 01期
关键词：
Geometric modeling; Tetrahedral mesh generation; Tetrahedral mesh smoothing; Surface re-meshing; Biomedical images; DELAUNAY REFINEMENT; SEGMENTATION; SURFACE;
D O I：
10.1016/j.cmpb.2013.08.009
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper we present a new software toolkit for generating and optimizing surface and volumetric meshes from three-dimensional (3D) biomedical imaging data, targeted at image-based finite element analysis of some biomedical activities in a single material domain. Our toolkit includes a series of geometric processing algorithms including surface re-meshing and quality-guaranteed tetrahedral mesh generation and optimization. All methods described have been encapsulated into a user-friendly graphical interface for easy manipulation and informative visualization of biomedical images and mesh models. Numerous examples are presented to demonstrate the effectiveness and efficiency of the described methods and toolkit. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码：226 / 240
页数：15
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