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ON A NEW TECHNIQUE FOR GENERATING FINITE ELEMENT AND RAPID PROTOTYPED MODELS BASED ON 3D DATA

机译:基于3D数据的有限元和快速原型模型的新技术

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There has been increasing interest in the rapid and robust generation of three dimensional finite element meshes based on data obtained from a range of 3D medical imaging modalities. The authors have implemented 3D image segmentation techniques and have developed and implemented a new approach which generates finite element models of up to seven distinct regions of interest. The meshing is efficient, fast and robust - high quality mixed tetrahedral and hexahedral meshes can be generated for complex multiple structures in the matter of minutes and then exported to one of a number of commercial solvers. The proposed approach has a number of significant advantages when compared to previous techniques: (1) it is fully automated, (2) structures (segmented regions of interest) of arbitrary complexity can be meshed with pre-specified element qualities, (3) multiple structures can be meshed simultaneously and the mesh interfaces between these structures are guaranteed to be conforming - no gaps or overlaps (e.g. for knee joint), (4) where a relationship between signal strength and material properties exists, the material properties throughout a part can be based on the parent voxel's greyscale. A number of test cases will be presented as well as some experimental and numerical validation studies.
机译:基于从一系列3D医学成像方式获得的数据,对三维有限元网格的快速和强大生成越来越兴趣。作者已经实施了3D图像分割技术,并开发并实现了一种新方法,该方法产生多达七个不同的感兴趣区域的有限元模型。啮合是有效的,快速且坚固的 - 高质量的混合四面体和六面斑纹,可以在几分钟内为复杂的多个结构产生,然后出口到许多商业求解器之一。与以前的技术相比,所提出的方法具有许多显着的优势:(1)它是完全自动化的,(2)任意复杂性的结构(分段的感兴趣区域)可以用预先指定的元素质量啮合,(3)多个结构可以同时啮合,并且这些结构之间的网状界面被保证为符合 - 没有间隙或重叠(例如,用于膝关节),(4)存在信号强度和材料特性之间的关系,在整个部件中的材料特性基于父voxel的灰度。将提出许多测试用例以及一些实验和数值验证研究。

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