Generation of the Three-Dimensional Finite-Element Model Based on the Images of the Surroundings of the Object Contours

K. Kurochka, Denis Nikolaevich Trubenok
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Abstract

BACKGROUND: The creation of a finite-element model of a human spine is a complex and time-consuming task. Automation of this process will reduce the time and cost of research and it will expand the application of mathematical modeling of surgical interventions, taking into account the peculiarities of the structure of the spine of various patients. OBJECTIVE: Creation of an algorithm for constructing a three-dimensional finite-element tetrahedral grid based on a set of images of contours of parallel sections of an object. METHODS: For dividing a two-dimensional surface into triangles, I use the Delaunay triangulation algorithm. All other algorithms have been developed and described in this paper. RESULTS: The results of the algorithm are presented by the example of generating a model from a set of CT images of the lumbar spine of a person. CONCLUSIONS: The models obtained using this algorithm can be used to solve any finite-element modeling problem.
基于物体轮廓周围图像的三维有限元模型生成
背景:建立人体脊柱的有限元模型是一项复杂且耗时的任务。这一过程的自动化将减少研究的时间和成本,并将扩大手术干预的数学建模的应用,考虑到不同患者脊柱结构的特殊性。目的:建立一种基于一组物体平行截面的轮廓图像构建三维有限元四面体网格的算法。方法:为了将二维表面划分为三角形,我使用了Delaunay三角剖分算法。所有其他算法已经开发和描述在本文中。结果:该算法的结果是由一个人的腰椎的一组CT图像生成一个模型的例子。结论:该算法得到的模型可用于解决任何有限元建模问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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