Fiorentino Niccolo M, Atkins Penny R, Kutschke Michael J, Bo Foreman K, Anderson Andrew E
Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT 84108, USA; Department of Mechanical Engineering, University of Vermont, 33 Colchester Ave, Burlington, VT 05403, USA.
Department of Orthopaedics, University of Utah, 590 Wakara Way, Salt Lake City, UT 84108, USA; Department of Bioengineering, University of Utah, 36 S. Wasatch Drive, Room 3100, Salt Lake City, UT 84112, USA.
J Biomech. 2020 Jul 17;108:109890. doi: 10.1016/j.jbiomech.2020.109890. Epub 2020 Jun 13.
Rigid body musculoskeletal models have been applied to study kinematics, moments, muscle forces, and joint reaction forces in the hip. Most often, models are driven with segment motions calculated through optical tracking of markers adhered to the skin. One limitation of optical tracking is soft tissue artifact (STA), which occurs due to motion of the skin surface relative to the underlying skeleton. The purpose of this study was to quantify differences in musculoskeletal model outputs when tracking body segment positions with skin markers as compared to bony landmarks measured by direct imaging of bone motion with dual fluoroscopy (DF). Eleven asymptomatic participants with normally developed hip anatomy were imaged with DF during level treadmill walking at a self-selected speed. Hip joint kinematics and kinetics were generated using inverse kinematics, inverse dynamics, static optimization and joint reaction force analysis. The effect of STA was assessed by comparing the difference in estimates from simulations based on skin marker positions (SM) versus virtual markers on bony landmarks from DF. While patterns were similar, STA caused underestimation of kinematics, range of motion (ROM), moments, and reaction forces at the hip, including flexion-extension ROM, maximum internal rotation joint moment and peak joint reaction force magnitude. Still, kinetic differences were relatively small, and thus they may not be relevant nor clinically meaningful.
刚体肌肉骨骼模型已被应用于研究髋关节的运动学、力矩、肌肉力量和关节反作用力。大多数情况下,模型是由通过对附着在皮肤上的标记物进行光学跟踪计算得到的节段运动驱动的。光学跟踪的一个局限性是软组织伪影(STA),它是由于皮肤表面相对于其下方骨骼的运动而产生的。本研究的目的是量化与通过双荧光透视(DF)对骨运动进行直接成像测量的骨性标志相比,使用皮肤标记跟踪身体节段位置时肌肉骨骼模型输出的差异。11名髋关节解剖结构正常的无症状参与者在水平跑步机上以自选速度行走时接受了DF成像。使用逆运动学、逆动力学、静态优化和关节反作用力分析生成髋关节运动学和动力学。通过比较基于皮肤标记位置(SM)的模拟估计值与来自DF的骨性标志上虚拟标记的估计值之间的差异来评估STA的影响。虽然模式相似,但STA导致髋关节运动学、活动范围(ROM)、力矩和反作用力的估计值偏低,包括屈伸ROM、最大内旋关节力矩和峰值关节反作用力大小。尽管如此,动力学差异相对较小,因此它们可能无关紧要,也没有临床意义。