Suppr超能文献

用于在肌肉骨骼模型中表示肩袖肌群几何形状的线网格模型与面网格模型之间的比较。

Comparison between line and surface mesh models to represent the rotator cuff muscle geometry in musculoskeletal models.

作者信息

Hoffmann Marion, Haering Diane, Begon Mickaël

机构信息

a Institute of Biomedical Engineering, University of Montreal , Montreal , Canada.

b INRIA/IRISA/M2S MimeTIC , Rennes , France.

出版信息

Comput Methods Biomech Biomed Engin. 2017 Aug;20(11):1175-1181. doi: 10.1080/10255842.2017.1340463. Epub 2017 Jun 19.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验