Accurate muscle geometry (muscle length and moment arm) is required to estimate muscle function when using musculoskeletal modelling. In shoulder, muscles are often modelled as a collection of independent line segments, leading to non-physiological muscles trajectory, especially for the rotator cuff muscles. To prevent this, a surface mesh model was developed and validated against 7 MRI positions in one participant. Mean moment arm errors was 11.4% for the line vs. 8.8% for the mesh model. While the model with independent lines led to some non-physiological trajectories, the mesh model gave lower misestimations of muscle lengths and moment arms.

译文

:使用肌肉骨骼模型时,需要准确的肌肉几何形状(肌肉长度和力矩臂)来估计肌肉功能。在肩部,肌肉通常被建模为独立线段的集合,从而导致非生理性的肌肉运动轨迹,特别是对于肩袖肌。为了防止这种情况,开发了一个表面网格模型,并针对一位参与者的7个MRI位置进行了验证。直线的平均弯矩臂误差为11.4%,而网格模型为8.8%。尽管具有独立线的模型导致了一些非生理轨迹,但网格模型给出了较低的肌肉长度和弯矩臂错误估计。

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