用同位素b样条变换网格预测股骨骨强度

L. Steiner, A. Synek, D. Pahr
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引用次数: 0

摘要

有限元分析可以预测人类股骨近端的强度。自动网格划分和识别与强度预测具有高度相关性的子区域可以减少费力的建模过程。基于自由形式配准的网格变形提供了高水平的自动化,并固有地创建等拓扑网格。本研究的目的是研究基于自由形式变换网格的有限元模型是否预测实验股骨强度以及手动创建的有限元建模,并确定与股骨强度相关性最高的区域和参数。使用基于B样条配准的算法从一组定量CT图像(QCT)创建受试者特定的网格和FE模型。研究了有限元预测的骨强度和局部参数与实验骨强度的相关性。基于变换网格的有限元模型与手动创建的模型非常相似,与实验骨强度具有同样强的相关性(R2=0.81 vs.R2=0.80)。区域分析显示,实验强度与局部参数具有较强的相关性(0.6本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Femoral Bone Strength Prediction Using Isotopological B-Spline-Transformed Meshes
Finite element (FE) analysis can predict proximal human femoral strength. Automated meshing and identifying subregions with high relevance for strength prediction could reduce the laborious modeling process. Mesh morphing based on free-form registration provides a high level of automation and inherently creates isotopological meshes. The goals of this study were to investigate if FE models based on free-form transformed meshes predict experimental femoral strength as well as manually created FE models and to identify regions and parameters with highest correlation to femoral strength. Subject-specific meshes and FE models were created from a set of quantitative CT images (QCT) using a B-Spline registration-based algorithm. Correlation of FE-predicted bone strength and local parameters with experimental bone strength were investigated. FE models based on transformed meshes closely resembled manually created counterparts, with equally strong correlations with experimental bone strength (R2=0.81 vs. R2=0.80). The regional analysis showed strong correlations (0.6
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