网格生成
计算机科学
工具箱
灰度
计算科学
二值图像
图像处理
二进制数
人工智能
计算机视觉
像素
计算机图形学(图像)
算法
有限元法
图像(数学)
工程类
数学
结构工程
算术
程序设计语言
作者
Qianqian Fang,David A. Boas
出处
期刊:International Symposium on Biomedical Imaging
日期:2009-06-01
卷期号:: 1142-1145
被引量:716
标识
DOI:10.1109/isbi.2009.5193259
摘要
We report a general purpose mesh generator for creating finite-element surface or volumetric mesh from 31) binary or gray-scale medical images. This toolbox incorporates a number of existing free mesh processing utilities and enables researchers to perform a range of mesh processing tasks for image-based mesh generation, including raw image processing, surface mesh extraction, surface re-sampling, and multi-scale/adaptive tetrahedral mesh generation. We also implemented robust algorithms for meshing open-surfaces and sub-region labeling. Atomic meshing utilities for each processing step can be accessed with simple interfaces, which can be streamlined or executed independently. The toolbox is compatible with Matlab or GNU Octave. We demonstrate the applications of this toolbox for meshing a range of challenging geometries including complex vessel network, human brain and breast.
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