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Parallel Algorithm for Triangular Mesh Reconstruction by Deformation in Medical Applications

机译:医学应用中变形三角网格重构的并行算法

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The main goal of this paper is to develop an efficient method of triangular mesh generation for physical objects which have similar geometrical structure. The method is based on deforming a high quality mesh generated over some "ideal" object into another object of the same structure with mesh quality preservation. The approach uses the Self Organizing Maps algorithm and has been applied for constructing meshes on human femur bones using the GeomBox and GeomRandom packages. A parallel deformation algorithm is implemented using MPI. The efficiency of the parallelization is about 90%.
机译:本文的主要目的是为具有相似几何结构的物理对象开发一种有效的三角网格生成方法。该方法基于将在某些“理想”对象上生成的高质量网格变形为具有网格质量保留的相同结构的另一个对象。该方法使用自组织映射算法,并已使用GeomBox和GeomRandom软件包应用于在人的股骨上构造网格。使用MPI实现并行变形算法。并行化效率约为90%。

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