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从计算机断层扫描数据构建体网格。

Construction of volume meshes from computed tomography data.

作者信息

Wang Kezhou, Denney Thomas, Morrison Edward, Vodyanoy Vitaly

机构信息

Department of Electrical and Computer Engineering/Auburn University/200 Broun Hall, Auburn, Alabama, 36849-5201 USA.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2005:5168-71. doi: 10.1109/IEMBS.2005.1615641.

Abstract

In this paper, we present a new method, called marching volume elements (MVE), for automatically constructing a volume mesh from three-dimensional (3-D) high-resolution computed tomography (CT) data. The volume mesh generated by the MVE algorithm is suitable for computational fluid dynamics (CFD) simulations. The MVE algorithm is based on the marching cubes (MC) algorithm which is a surface generation algorithm for 3-D intensity data. The mesh created with the MVE algorithm is composed of pyramids, cubes and tetrahedrons with common faces that fit together to form a topologically consistent volume. We validate the MVE algorithm on a synthetic object and demonstrate it on CT scans of a human nasal cavity.

摘要

在本文中,我们提出了一种名为行进体积元(MVE)的新方法,用于从三维(3-D)高分辨率计算机断层扫描(CT)数据自动构建体网格。由MVE算法生成的体网格适用于计算流体动力学(CFD)模拟。MVE算法基于行进立方体(MC)算法,后者是一种用于三维强度数据的表面生成算法。使用MVE算法创建的网格由具有公共面的金字塔、立方体和四面体组成,这些公共面相互契合形成一个拓扑一致的体积。我们在一个合成物体上验证了MVE算法,并在人类鼻腔的CT扫描上进行了演示。

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