通过图像注册实现人体模型的个性化以及更多的个性化
Xiaogai Li1, Qiantailang Yuan1, Natalia Lindgren1
1Division of Neuronic Engineering, Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Huddinge, Sweden.
Frontiers in bioengineering and biotechnology
|June 5, 2023
概括
一种新方法使用基于图像注册的网格变形来创建个性化的人体模型 (HBM) 用于交通安全模拟. 这种技术可以快速生成根据个体解剖学量身定制的精确HBM,从而提高模拟可靠性.
科学领域:
- 生物力学 生物力学
- 计算建模计算建模
- 交通安全研究 交通安全研究
背景情况:
- 有限元人体模型 (HBM) 对于交通安全模拟至关重要.
- 开发经过验证的个性化HBM是复杂且资源密集的.
- 网状形态化提供了一种有效的方法,可以将基线HBM适应个体解剖学.
研究的目的:
- 引入一种基于图像注册的新型网状变形技术,用于生成个性化的HBM.
- 为了证明该方法在为各种主题创建HBM的有效性.
- 要突出该方法在标准化HBM比较和几何校正中的实用性.
主要方法:
- 开发了一个基于图像注册的网状形态算法.
- 应用该方法将四个基线HBM (SAFER,THUMS,VIVA+) 变形为十个具有不同人类学 (身高,BMI,性别) 的受试者.
- 评估了个性化HBM的元素质量和几何精度.
主要成果:
- 成功生成了个性化的HBM,其元素质量与基线模型相美.
- 证明了消除HBM之间的几何差异的能力,通过将它们转化为一个共同的主体.
- 展示了姿势转换 (从坐到站) 的高级几何校正,以及车辆模型变形的潜力.
结论:
- 提出的方法使HBMs的快速和强大的个性化成为可能.
- 方便在交通安全方面进行一致可靠的个性化模拟.
- 提供适用于各种模型和人体测量变化的多功能方法.
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