通过统计外观模型从解剖学地标预测青叶骨的几何和密度:对有限元素计算的骨压错误的影响
Olivia L Bruce1, Jean Tu2,3, W Brent Edwards1
1Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada; Human Performance Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada; McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Journal of biomechanical engineering
|April 1, 2024
概括
统计外观模型无法从皮肤标志上准确预测骨和骨的几何状况或骨压力. 这种方法不适合研究比较个人或群体,因为存在重大错误.
科学领域:
- 生物力学 生物力学
- 医疗成像医学成像
- 计算机建模 计算建模
背景情况:
- 用于骨分析的参与者特定的有限元模型 (FEM) 需要详细的医学成像.
- 高昂的成像成本和有限的访问能力阻碍了FEM的广泛应用.
- 统计外观模型 (SAM) 提供了一个潜在的替代方案,可以在没有成像的情况下估计骨特性.
研究的目的:
- 评估使用基于皮肤地标的SAMs预测骨-骨几何形状和密度的准确性.
- 为了评估预测错误如何影响有限元素分析 (FEA) 计算的骨压.
- 为了确定SAMS的可行性,对参与者进行特定的骨应变分析.
主要方法:
- 通过使用SAM从身高,性别和皮肤地标生成参与者知情的骨模型.
- 应用了从步态和肌肉骨模型中得出的参与者特定的跑步负荷.
- 在参与者知情模型和基于CT的模型上使用FEA计算骨应变.
主要成果:
- 参与者知情模型显示,中位数几何误差为4.39-5.17毫米,密度误差为0.116-0.142g/cm3.
- 在预测的骨应变分布 (RMSE 476-492 με),峰值应变 (±27-34%) 和应变体积 (±104-202%) 中观察到重大错误.
结论:
- 基于皮肤地标或基本人体测量的SAM对于准确估计骨几何,密度或应变是不够的.
- 这些预测方法带来了大量的错误,使得它们不适合进行组对比或个人分析.
- 先进的医学成像仍然对于可靠的参与者特定骨建模和FEA至关重要.
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