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一种快速且稳健的患者特定有限元网格配准技术:在 60 个临床案例中的应用。

A fast and robust patient specific Finite Element mesh registration technique: application to 60 clinical cases.

机构信息

TIMC-IMAG Laboratory, UMR CNRS 5525, University Joseph Fourier, 38706 La Tronche, France.

出版信息

Med Image Anal. 2010 Jun;14(3):303-17. doi: 10.1016/j.media.2010.02.003. Epub 2010 Feb 14.

DOI:10.1016/j.media.2010.02.003
PMID:20299273
Abstract

Finite Element mesh generation remains an important issue for patient specific biomechanical modeling. While some techniques make automatic mesh generation possible, in most cases, manual mesh generation is preferred for better control over the sub-domain representation, element type, layout and refinement that it provides. Yet, this option is time consuming and not suited for intraoperative situations where model generation and computation time is critical. To overcome this problem we propose a fast and automatic mesh generation technique based on the elastic registration of a generic mesh to the specific target organ in conjunction with element regularity and quality correction. This Mesh-Match-and-Repair (MMRep) approach combines control over the mesh structure along with fast and robust meshing capabilities, even in situations where only partial organ geometry is available. The technique was successfully tested on a database of 5 pre-operatively acquired complete femora CT scans, 5 femoral heads partially digitized at intraoperative stage, and 50 CT volumes of patients' heads. In the latter case, both skin and bone surfaces were taken into account by the mesh registration process in order to model the face muscles and fat layers. The MMRep algorithm succeeded in all 60 cases, yielding for each patient a hex-dominant, Atlas based, Finite Element mesh with submillimetric surface representation accuracy, directly exploitable within a commercial FE software.

摘要

有限元网格生成仍然是患者特定生物力学建模的一个重要问题。虽然有些技术可以实现自动网格生成,但在大多数情况下,手动网格生成更受欢迎,因为它可以更好地控制子域表示、单元类型、布局和细化。然而,这种方法耗时且不适合术中情况,因为模型生成和计算时间至关重要。为了解决这个问题,我们提出了一种快速自动的网格生成技术,该技术基于通用网格与特定目标器官的弹性配准,结合单元规则性和质量校正。这种网格匹配和修复 (MMRep) 方法结合了对网格结构的控制以及快速稳健的网格划分能力,即使在只有部分器官几何形状可用的情况下也是如此。该技术已成功应用于 5 例术前采集的完整股骨 CT 扫描、5 例术中部分数字化的股骨头部和 50 例患者头部的 CT 体积数据库。在后一种情况下,网格注册过程考虑了皮肤和骨骼表面,以便模拟面部肌肉和脂肪层。MMRep 算法在所有 60 个案例中都取得了成功,为每个患者生成了一个六面体主导的、基于 Atlas 的有限元网格,具有亚毫米级的表面表示精度,可直接在商业 FE 软件中使用。

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