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基于个体化的脑部计算生物力学,无需分割和网格处理。

Patient-specific computational biomechanics of the brain without segmentation and meshing.

机构信息

Intelligent Systems for Medicine Laboratory, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.

出版信息

Int J Numer Method Biomed Eng. 2013 Feb;29(2):293-308. doi: 10.1002/cnm.2507. Epub 2012 Aug 25.

Abstract

Motivated by patient-specific computational modelling in the context of image-guided brain surgery, we propose a new fuzzy mesh-free modelling framework. The method works directly on an unstructured cloud of points that do not form elements so that mesh generation is not required. Mechanical properties are assigned directly to each integration point based on fuzzy tissue classification membership functions without the need for image segmentation. Geometric integration is performed over an underlying uniform background grid. The verification example shows that, while requiring no hard segmentation and meshing, the proposed model gives, for all practical purposes, equivalent results to a finite element model.

摘要

受图像引导脑外科手术中特定于患者的计算建模的启发,我们提出了一种新的模糊无网格建模框架。该方法直接作用于未形成元素的非结构化点云,因此不需要进行网格生成。机械性能直接根据模糊组织分类隶属函数分配给每个积分点,而无需图像分割。几何积分是在基础均匀背景网格上进行的。验证示例表明,虽然不需要硬分割和网格划分,但所提出的模型对于所有实际目的来说,都能给出与有限元模型相当的结果。

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