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Optimized FE mesh generation based on medical imaging and on a user-defined spatial refinement gradient. Application to a motion segment

机译:基于医学成像和用户定义的空间细化梯度,优化了有限元网格的生成。应用于运动段

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摘要

In general, the starting point for the 3D geometrical modelling by finite elements of an anatomical structure is the generation of a 3D voxel-based geometrical model, obtained after denoising, smoothing and segmentation of a set of 2D medical images. The accuracy of the FE computation increases if the geometry of model resembles, for instance, the natural smoothness of real anatomical structure.Usually, the lack of detailed data in conventional imaging techniques causes further problems in the IVD finite element mesh generation and analysis. Difficulties arise mainly due to the complexity and thedimension of the IVD constituent structures and the lower resolution of medical imaging. After the 3D voxelized model has been defined, a specific isotropic tetrahedral FE meshing procedure is applied and, generally, a too dense and highly refined FE mesh is obtained. Therefore, it is necessaryto decrease its size by diminishing the total number of nodes and elements while maintaining both geometrical accuracy and a physically compatible FE mesh refinement. Generally, after this procedure,the smaller elements are located at the internal and external boundaries, while larger elements are located inside the FE mesh. However, this is not always acceptable. There may be situations wherethis accuracy may be required simultaneously in structures outside and inside the FE mesh. In a motion segment, the FE mesh should be more refined at the IVD and coarser at the vertebrae (nearlyincompressible medium). On the other hand, since the annulus fibrosus (AF) is a stiff ring-shaped structure made up of concentric lamellae [1], an optimized FE mesh should be more refined at the annulus fibrosus than at the nucleus pulposus (NP)The aims of this study are:- to study the impact of medical imaging resolution in the FE mesh accuracy;- to develop a refinement gradient, where in this case the elements should be smaller in the outer annulus (where lamellae are denser and combined) than the ones in the inner annulus (less dense lamellae).
机译:通常,通过解剖结构的有限元素进行3D几何建模的起点是基于3D体素的几何模型的生成,该模型是在对一组2D医学图像进行去噪,平滑和分割后获得的。如果模型的几何形状类似于真实解剖结构的自然光滑度,则FE计算的准确性会提高。通常,常规成像技术缺乏详细数据会导致IVD有限元网格生成和分析出现更多问题。出现困难的主要原因是IVD构成结构的复杂性和尺寸以及医学成像的较低分辨率。定义3D体素化模型后,将应用特定的各向同性四面体有限元网格划分程序,并且通常会获得过于密集和高度精炼的有限元网格。因此,有必要通过减少节点和元素的总数来减小其尺寸,同时保持几何精度和物理兼容的有限元网格细化。通常,在此过程之后,较小的元素位于内部和外部边界,而较大的元素位于FE网格内部。但是,这并不总是可以接受的。在某些情况下,有限元网格外部和内部的结构可能同时需要这种精度。在运动段中,应在IVD处更加完善FE网格,而在椎骨(几乎不可压缩的介质)处使FE网格更加粗糙。另一方面,由于纤维环(AF)是由同心薄片组成的刚性环形结构[1],因此优化的有限元网格应比纤维环(NP)更细化。这项研究的目的是:-研究医学成像分辨率对有限元网格精度的影响;-建立细化梯度,在这种情况下,外环面(薄片更致密且结合在一起)中的元素应小于内环的那些(较不密集的薄片)。

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