Hoffmann Marion, Haering Diane, Begon Mickaël
a Institute of Biomedical Engineering, University of Montreal , Montreal , Canada.
b INRIA/IRISA/M2S MimeTIC , Rennes , France.
Comput Methods Biomech Biomed Engin. 2017 Aug;20(11):1175-1181. doi: 10.1080/10255842.2017.1340463. Epub 2017 Jun 19.
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.
在使用肌肉骨骼模型估计肌肉功能时，需要准确的肌肉几何形状（肌肉长度和力臂）。在肩部，肌肉通常被建模为独立线段的集合，这会导致非生理性的肌肉轨迹，尤其是对于肩袖肌群。为了避免这种情况，开发了一种表面网格模型，并在一名参与者的7个MRI位置上进行了验证。直线模型的平均力臂误差为11.4%，而网格模型为8.8%。虽然独立线段模型会导致一些非生理性轨迹，但网格模型对肌肉长度和力臂的估计误差较小。
