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首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip.
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Robust QCT/FEA models of proximal femur stiffness and fracture load during a sideways fall on the hip.

机译:髋关节侧倾时股骨近端刚度和骨折负荷的稳健QCT / FEA模型。

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Clinical implementation of quantitative computed tomography-based finite element analysis (QCT/FEA) of proximal femur stiffness and strength to assess the likelihood of proximal femur (hip) fractures requires a unified modeling procedure, consistency in predicting bone mechanical properties, and validation with realistic test data that represent typical hip fractures, specifically, a sideways fall on the hip. We, therefore, used two sets (n = 9, each) of cadaveric femora with bone densities varying from normal to osteoporotic to build, refine, and validate a new class of QCT/FEA models for hip fracture under loading conditions that simulate a sideways fall on the hip. Convergence requirements of finite element models of the first set of femora led to the creation of a new meshing strategy and a robust process to model proximal femur geometry and material properties from QCT images. We used a second set of femora to cross-validate the model parameters derived from the first set. Refined models were validated experimentally by fracturing femora using specially designed fixtures, load cells, and high speed video capture. CT image reconstructions of fractured femora were created to classify the fractures. The predicted stiffness (cross-validation R (2) = 0.87), fracture load (cross-validation R (2) = 0.85), and fracture patterns (83% agreement) correlated well with experimental data.
机译:股骨近端刚度和强度的基于定量计算机层析成像的有限元分析(QCT / FEA)的临床实施,以评估股骨近端(髋部)骨折的可能性,需要统一的建模程序,预测骨骼力学性能的一致性以及实际验证测试数据代表典型的髋部骨折,特别是侧向跌落在髋部。因此,我们使用了两组(每组n = 9)具尸体密度从正常到骨质疏松的尸体股骨,以建立,完善和验证一类新的QCT / FEA模型,用于在横向模拟负荷条件下的髋部骨折摔在臀部上。第一组股骨的有限元模型的收敛性要求导致了新的网格划分策略的建立和从QCT图像建模股骨近端几何形状和材料特性的稳健过程。我们使用了第二组股骨来交叉验证从第一组衍生的模型参数。精制模型通过使用特殊设计的固定装置,称重传感器和高速视频捕获将股骨骨折进行实验验证。创建骨折股骨的CT图像重建以对骨折进行分类。预测的刚度(交叉验证R(2)= 0.87),断裂载荷(交叉验证R(2)= 0.85)和断裂模式(83%一致)与实验数据相关性很好。

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