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首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Development and Validation of Statistical Models of Femur Geometry for Use with Parametric Finite Element Models
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Development and Validation of Statistical Models of Femur Geometry for Use with Parametric Finite Element Models

机译：参数有限元模型使用的股骨几何统计模型的开发和验证

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摘要

Statistical models were developed that predict male and female femur geometry as functions of age, body mass index (BMI), and femur length as part of an effort to develop lower-extremity finite element models with geometries that are parametric with subject characteristics. The process for developing these models involved extracting femur geometry from clinical CT scans of 62 men and 36 women, fitting a template finite element femur mesh to the surface geometry of each patient, and then programmatically determining thickness at each nodal location. Principal component analysis was then performed on the thickness and geometry nodal coordinates, and linear regression models were developed to predict principal component scores as functions of age, BMI, and femur length. The average absolute errors in male and female external surface geometry model predictions were 4.57 and 4.23 mm, and the average absolute errors in male and female thickness model predictions were 1.67 and 1.74 mm. The average error in midshaft cortical bone areas between the predicted geometries and the patient geometries was 4.4%. The average error in cortical bone area between the predicted geometries and a validation set of cadaver femur geometries across 5 shaft locations was 2.9%.
机译：开发了统计模型，以预测男性和女性股骨的几何形状随年龄，体重指数（BMI）和股骨长度的变化，这是开发具有与受试者特征参数化的几何形状的下肢有限元模型的一部分。开发这些模型的过程涉及从62位男性和36位女性的临床CT扫描中提取股骨几何形状，将模板有限元股骨网格拟合到每个患者的表面几何形状，然后以编程方式确定每个结节位置的厚度。然后对厚度和几何结点坐标进行主成分分析，并建立线性回归模型以预测主成分得分随年龄，BMI和股骨长度的变化。男性和女性外表面几何模型预测中的平均绝对误差为4.57和4.23 mm，男性和女性厚度模型预测中的平均绝对误差为1.67和1.74 mm。预测的几何形状和患者的几何形状之间的中轴皮质骨区域的平均误差为4.4％。预测的几何形状和一组验证的尸体股骨几何形状在5个轴位置之间的皮质骨区域平均误差为2.9％。

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