Three-dimensional representation of complex muscle architectures and geometries
Three-dimensional representation of complex muscle architectures and geometries
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DOI：
10.1007/s10439-005-1433-7
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发表时间：
2005-05-01
影响因子：
3.8
通讯作者：
Delp, SL
中科院分区：
文献类型：
--
作者：
Blemker, SS;Delp, SL
几乎所有肌肉骨骼系统的计算机模型都使用一系列线段来表示肌肉几何形状。这种简化(I)限制了模型准确地表示具有复杂几何形状的肌肉的路径的能力，并且(Ii)假设力矩臂对于肌肉(或肌肉间隔)内的所有纤维是等价的。这项工作的目标是开发和评估一种新的方法来创建三维(3D)有限元模型，该模型表示复杂的肌肉几何形状和肌肉内纤维上力矩臂的变化。我们根据磁共振(MR)图像创建了腰大肌、髂肌、臀大肌和臀中肌的3D模型。峰值纤维力矩臂因肌肉内纤维的不同而有很大不同(例如，对于腰大肌，峰值纤维髋屈曲力矩臂变化在2~3 cm之间，而对于臀大肌，峰值纤维伸展力矩臂变化在1~7 cm之间)。文献中的力矩臂一般在3D模型预测的纤维力矩臂的范围内。这些模型准确地预测了髋关节屈曲55度范围内肌肉表面几何形状的变化，而从磁共振图像预测的形状变化(模型和测量表面之间的平均误差在1.7到5.2 mm之间)。这种表示肌肉的新框架将提高肌肉骨骼系统计算机模型的准确性。
Almost all computer models of the musculoskeletal system represent muscle geometry using a series of line segments. This simplification (i) limits the ability of models to accurately represent the paths of muscles with complex geometry and (ii) assumes that moment arms are equivalent for all fibers within a muscle (or muscle compartment). The goal of this work was to develop and evaluate a new method for creating three-dimensional (3D) finite-element models that represent complex muscle geometry and the variation in moment arms across fibers within a muscle. We created 3D models of the psoas, iliacus, gluteus maximus, and gluteus medius muscles from magnetic resonance (MR) images. Peak fiber moment arms varied substantially among fibers within each muscle (e.g., for the psoas the peak fiber hip flexion moment arms varied from 2 to 3 cm, and for the gluteus maximus the peak fiber hip extension moment arms varied from 1 to 7 cm). Moment arms from the literature were generally within the range of fiber moment arms predicted by the 3D models. The models accurately predicted changes in muscle surface geometry over a 55 degrees range of hip flexion, as compared to changes in shape predicted from MR images (average errors between the model and measured surfaces were between 1.7 and 5.2 mm). This new framework for representing muscle will enhance the accuracy of computer models of the musculoskeletal system.