Construction of an anatomically accurate geometric model of the forearm and hand musculo-skeletal system

Construction of an anatomically accurate geometric model of the forearm and hand musculo-skeletal system
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构建前臂和手部肌肉骨骼系统的解剖学精确几何模型

DOI:
10.1109/iembs.2004.1403545
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发表时间:
2004
期刊:
The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
影响因子:
--
通讯作者:
P. Hunter
P. Hunter
中科院分区:
--
文献类型:
--
作者:
H. Reynolds;N. Smith;P. Hunter

文献摘要

被引文献

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一个解剖学上精确的模型,前臂和手的肌肉骨骼系统,使用有限元几何形状。解剖数据已经从男性可视人数据集数字化,以创建精确近似每个骨骼和肌肉体积的网格。每个肌肉的解剖结构已占通过拓扑结构的初始网格生成。圆柱形肌肉已经使用折叠双三次线性元素建模,而更复杂的肌肉拓扑结构需要三次元素。分叉肌肉网格将联合收割机的肌腱1D元素和相邻肌肉的3D元素组合在一起。使用最小二乘算法进行每个网格与其数据集的拟合过程,以最小化网格与数据点之间的距离。Sobelov平滑约束已被实施,以考虑稀疏和分散的数据。拟合前臂肌肉包含1085个节点,797个元素,平均RMS误差为1.8207 mm;而拟合手部肌肉使用509个节点,274个元素,平均RMS误差为1.1136 mm。该模型作为生物医学和医学教育相关的解剖数据可视化框架的应用进行了讨论。通过网格定制和进一步的功能建模,这为手术培训和功能开发提供了基础。
An anatomically accurate model of the forearm and hand musculo-skeletal system using finite element geometries is presented. Anatomical data has been digitized from the male Visible Human dataset to create meshes which accurately approximate each bone and muscle volume. Each muscle's anatomical structure has been accounted for via the topology of the initial mesh generation. Cylindrical muscles have been modeled using collapsed bicubic-linear elements, while more complex muscle topologies have required tricubic elements. Bifurcating muscle meshes combine 1D elements for the tendons and 3D elements for the adjoining muscle. The fitting process of each mesh to its dataset was carried out using a least-squares algorithm, to minimize the distances between the mesh and the data points. Sobelov smoothing constraints have been implemented to account for sparse and scattered data. The fitted forearm muscles contain 1085 nodes, 797 elements, and an average RMS error of 1.8207 mm; while the fitted hand muscles use 509 nodes, 274 elements, and an average RMS error of 1.1136 mm. Applications of the model as a framework for visualization of anatomical data relevant for biomedical and medical education are discussed. With mesh customization and further functional modeling this provides the basis for surgical training and functional development.