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基于磁共振成像(MRI)的下肢肌肉骨骼模型估算的肌肉力臂准确性。

Accuracy of muscle moment arms estimated from MRI-based musculoskeletal models of the lower extremity.

作者信息

Arnold A S, Salinas S, Asakawa D J, Delp S L

机构信息

Biomechanical Engineering Division, Mechanical Engineering Department, Stanford University, CA 94305-3030, USA.

出版信息

Comput Aided Surg. 2000;5(2):108-19. doi: 10.1002/1097-0150(2000)5:2<108::AID-IGS5>3.0.CO;2-2.

Abstract

OBJECTIVE

Biomechanical models that compute the lengths and moment arms of soft tissues are broadly applicable to the treatment of movement abnormalities and the planning of orthopaedic surgical procedures. The goals of this study were to: (i) develop methods to construct subject-specific biomechanical models from magnetic resonance (MR) images, (ii) create models of three lower-extremity cadaveric specimens, and (iii) quantify the accuracy of muscle-tendon lengths and moment arms estimated using these models.

MATERIALS AND METHODS

Models describing the paths of the medial hamstrings and psoas muscles for a wide range of body positions were developed from MR images in one joint configuration by defining kinematic models of the hip and knee, and by specifying "wrapping surfaces" that simulate interactions between the muscles and underlying structures. Our methods for constructing these models were evaluated by comparing hip and knee flexion moment arms estimated from models of three specimens to the moment arms determined experimentally on the same specimens. Because a muscle's moment arm determines its change in length with joint rotation, these comparisons also tested the accuracy with which the models could estimate muscle-tendon lengths over a range of hip and knee motions.

RESULTS

Errors in the moment arms calculated with the models, averaged over functional ranges of hip and knee flexion, were less than 4 mm (within 10% of experimental values).

CONCLUSION

The combination of MR imaging and graphics-based musculoskeletal modeling provides an accurate and efficient means of estimating muscle-tendon lengths and moment arms in vivo.

摘要

目的

计算软组织长度和力臂的生物力学模型广泛应用于运动异常的治疗和骨科手术规划。本研究的目标是:(i)开发从磁共振(MR)图像构建个体特异性生物力学模型的方法,(ii)创建三个下肢尸体标本的模型,以及(iii)量化使用这些模型估计的肌腱长度和力臂的准确性。

材料与方法

通过定义髋关节和膝关节的运动学模型,并指定模拟肌肉与下层结构之间相互作用的“包裹表面”,从一种关节配置的MR图像中开发描述在广泛身体位置下内侧腘绳肌和腰大肌路径的模型。通过将从三个标本模型估计的髋关节和膝关节屈曲力臂与在相同标本上实验确定的力臂进行比较,评估我们构建这些模型的方法。由于肌肉的力臂决定了其随关节旋转的长度变化,这些比较还测试了模型在一系列髋关节和膝关节运动中估计肌腱长度的准确性。

结果

在髋关节和膝关节屈曲的功能范围内,模型计算的力臂误差平均小于4毫米(在实验值的10%以内)。

结论

MR成像与基于图形的肌肉骨骼建模相结合,提供了一种在体内估计肌腱长度和力臂的准确而有效的方法。

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