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Patient-Specific Vascular NURBS Modeling for Isogeometric Analysis of Blood Flow

机译:用于血流等几何分析的患者特定血管NURBS建模

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摘要

We describe an approach to construct hexahedral solid NURBS (Non-Uniform Rational B-Splines) meshes for patient-specific vascular geometric models from imaging data for use in isogeometric analysis. First, image processing techniques, such as contrast enhancement, filtering, classification, and segmentation, are used to improve the quality of the input imaging data. Then, lumenal surfaces are extracted by isocontouring the preprocessed data, followed by the extraction of vascular skeleton via Voronoi and Delaunay diagrams. Next, the skeleton-based sweeping method is used to construct hexahedral control meshes. Templates are designed for various branching configurations to decompose the geometry into mapped meshable patches. Each patch is then meshed using one-to-one sweeping techniques, and boundary vertices are projected to the lumenal surface. Finally, hexahedral solid NURBS are constructed and used in isogeometric analysis of blood flow. Piecewise linear hexahedral meshes can also be obtained using this approach. Examples of patient-specific arterial models are presented.
机译:我们描述了一种方法,用于从成像数据中构造用于患者特定血管几何模型的六面体固体NURBS(非均匀有理B样条)网格,用于等几何分析。首先,诸如对比度增强,滤波,分类和分割之类的图像处理技术被用来提高输入成像数据的质量。然后,通过等值预处理数据来提取腔表面,然后通过Voronoi图和Delaunay图提取血管骨架。接下来,使用基于骨架的清扫方法来构造六面体控制网格。模板设计用于各种分支配置,以将几何分解为映射的网格化补丁。然后使用一对一的扫掠技术将每个面片网格化,并将边界顶点投影到管腔表面。最后,构建了六面体固体NURBS,并将其用于血流的等几何分析。分段线性六面体网格也可以使用此方法获得。提供了患者特定的动脉模型的示例。

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