Marai G, Crisco Joseph J, Laidlaw David H
Department of Computer Science, University of Pittsburgh, PA 15260, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:7176-9. doi: 10.1109/IEMBS.2009.5335319.
We developed a subject-specific kinematic model to analyze in vivo soft-tissue interaction in the carpus in static, unloaded postures. The bone geometry was extracted from a reference computed tomography volume image. The soft-tissue geometry, including cartilage and ligament tissues, was computationally modeled based on kinematic constraints; the constraints were extracted from multiple computed tomography scans corresponding to different carpal postures. The data collected in vivo was next coupled with numerical simulation in order to analyze the role of soft-tissues in different postures. The resulting model extends the state of biomechanical modeling by incorporating soft-tissue constraints across the carpus range of motion, while successfully using only physiological constraints. The model results suggest that soft-tissue wrapping constraints have substantial impact on carpus stability.
我们开发了一种特定于个体的运动学模型,以分析在静态、无负荷姿势下腕骨的体内软组织相互作用。骨几何结构是从参考计算机断层扫描体积图像中提取的。包括软骨和韧带组织在内的软组织几何结构基于运动学约束进行了计算建模;这些约束是从对应于不同腕骨姿势的多次计算机断层扫描中提取的。接下来,将体内收集的数据与数值模拟相结合,以分析软组织在不同姿势中的作用。所得模型通过纳入整个腕骨运动范围内的软组织约束扩展了生物力学建模的现状,同时仅成功使用了生理约束。模型结果表明,软组织包裹约束对腕骨稳定性有重大影响。