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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Statistical shape analysis of clavicular cortical bone with applications to the development of mean and boundary shape models
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Statistical shape analysis of clavicular cortical bone with applications to the development of mean and boundary shape models

机译：锁骨皮质骨的统计形状分析及其在均值和边界形状模型开发中的应用

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摘要

During car collisions, the shoulder belt exposes the occupant's clavicle to large loading conditions which often leads to a bone fracture. To better understand the geometric variability of clavicular cortical bone which may influence its injury tolerance, twenty human clavicles were evaluated using statistical shape analysis. The interior and exterior clavicular cortical bone surfaces were reconstructed from CT-scan images. Registration between one selected template and the remaining 19 clavicle models was conducted to remove translation and rotation differences. The correspondences of landmarks between the models were then established using coordinates and surface normals. Three registration methods were compared: the LM-ICP method; the global method; and the SHREC method. The LM-ICP registration method showed better performance than the global and SHREC registration methods, in terms of compactness, generalization, and specificity. The first four principal components obtained by using the LM-ICP registration method account for 61% and 67% of the overall anatomical variation for the exterior and interior cortical bone shapes, respectively. The length was found to be the most significant variation mode of the human clavicle. The mean and two boundary shape models were created using the four most significant principal components to investigate the size and shape variation of clavicular cortical bone. In the future, boundary shape models could be used to develop probabilistic finite element models which may help to better understand the variability in biomechanical responses and injuries to the clavicle.
机译：在汽车碰撞过程中，肩带使乘员的锁骨暴露在较大的负载条件下，这通常会导致骨折。为了更好地了解锁骨皮质骨的几何变异性可能会影响其耐受性，使用统计形状分析对二十个人锁骨进行了评估。从CT扫描图像重建锁骨皮质内部和外部表面。在一个选定模板与其余19个锁骨模型之间进行配准，以消除平移和旋转差异。然后使用坐标和表面法线建立模型之间的地标对应关系。比较了三种注册方法：LM-ICP方法;全局方法;和SHREC方法。在紧凑性，泛化性和特异性方面，LM-ICP注册方法显示出比全局注册方法和SHREC注册方法更好的性能。使用LM-ICP配准方法获得的前四个主要成分分别占外部和内部皮质骨形状的整体解剖变化的61％和67％。发现长度是人类锁骨的最显着的变异模式。使用四个最重要的主成分创建均值和两个边界形状模型，以研究锁骨皮质骨的大小和形状变化。将来，边界形状模型可用于开发概率有限元模型，这可能有助于更好地了解生物力学反应的可变性和锁骨的损伤。

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