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基于CT的人体近端股骨高阶有限元分析与体外实验的比较。

A CT-based high-order finite element analysis of the human proximal femur compared to in-vitro experiments.

作者信息

Yosibash Zohar, Padan Royi, Joskowicz Leo, Milgrom Charles

机构信息

Department of Mechanical Engineering, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.

出版信息

J Biomech Eng. 2007 Jun;129(3):297-309. doi: 10.1115/1.2720906.

Abstract

The prediction of patient-specific proximal femur mechanical response to various load conditions is of major clinical importance in orthopaedics. This paper presents a novel, empirically validated high-order finite element method (FEM) for simulating the bone response to loads. A model of the bone geometry was constructed from a quantitative computerized tomography (QCT) scan using smooth surfaces for both the cortical and trabecular regions. Inhomogeneous isotropic elastic properties were assigned to the finite element model using distinct continuous spatial fields for each region. The Young's modulus was represented as a continuous function computed by a least mean squares method. p-FEMs were used to bound the simulation numerical error and to quantify the modeling assumptions. We validated the FE results with in-vitro experiments on a fresh-frozen femur loaded by a quasi-static force of up to 1500 N at four different angles. We measured the vertical displacement and strains at various locations and investigated the sensitivity of the simulation. Good agreement was found for the displacements, and a fair agreement found in the measured strain in some of the locations. The presented study is a first step toward a reliable p-FEM simulation of human femurs based on QCT data for clinical computer aided decision making.

摘要

预测患者特异性近端股骨对各种负荷条件的力学响应在骨科临床中具有重要意义。本文提出了一种新颖的、经过实证验证的高阶有限元方法(FEM),用于模拟骨骼对负荷的响应。通过定量计算机断层扫描(QCT)扫描构建骨骼几何模型,皮质和小梁区域均采用光滑表面。使用每个区域不同的连续空间场为有限元模型赋予非均匀各向同性弹性属性。杨氏模量表示为通过最小二乘法计算的连续函数。采用p-FEM来界定模拟数值误差并量化建模假设。我们通过对一根新鲜冷冻股骨进行体外实验来验证有限元结果,该股骨在四个不同角度承受高达1500 N的准静态力。我们测量了不同位置的垂直位移和应变,并研究了模拟的敏感性。在位移方面发现了良好的一致性,在一些位置的测量应变方面发现了较好的一致性。本研究是基于QCT数据进行可靠的人体股骨p-FEM模拟以用于临床计算机辅助决策的第一步。

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