Robust generation of high-quality unstructured meshes on realistic biomedical geometry
Robust generation of high-quality unstructured meshes on realistic biomedical geometry
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DOI：
10.1002/nme.1482
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发表时间：
2006-02-05
影响因子：
2.9
通讯作者：
Nakahashi, K
中科院分区：
文献类型：
--
作者：
Ito, Y;Shum, PC;Nakahashi, K
在本文中，我们提出了基于CT和MRI数据的高效和健壮的非结构网格生成方法，以获得用于高保真数值模拟的特定于患者的几何形状。从医学图像中提取表面主要使用开源库，包括Insight分割和配准工具包和可视化工具包，以小平面表面表示的形式进行。为了创建高度对偶的曲面网格，我们提出了两种方法。一种是直接推进波阵法，另一种是改进的抽取法。前者强调局部网格密度的可控性，后者可以从低质量的离散曲面半自动生成网格。采用基于前沿推进的体网格化方法。我们的方法是用高保真的四面体网格围绕从CT/MRI数据中提取的医学几何图形来演示的。版权所有(C)2005 John Wiley&Sons，Ltd.
In this paper, we propose efficient and robust unstructured mesh generation methods based on computed tomography (CT) and magnetic resonance imaging (MRI) data, in order to obtain a patient-specific geometry for high-fidelity numerical Simulations. Surface extraction from medical images is carried Out mainly using open Source libraries, including the Insight Segmentation and Registration Toolkit and the Visualization Toolkit, into the form of facet surface representation. To create high-duality surface meshes, we propose two approaches. One is a direct advancing front method, and the other is a modified decimation method. The former emphasizes the controllability of local mesh density, and the latter enables semi-automated mesh generation from low-quality discrete Surfaces. An advancing-front-based Volume meshing method is employed. Our approaches are demonstrated with high-fidelity tetrahedral meshes around medical geometries extracted from CT/MRI data. Copyright (c) 2005 John Wiley & Sons, Ltd.