Institute of Veterinary Clinical Science, National Taiwan University, Taipei, Taiwan.
Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan.
Vet Rec. 2020 Jan 18;186(2):66. doi: 10.1136/vr.105352. Epub 2019 Aug 13.
Skin marker-based motion analysis has been widely used to evaluate the functional performance of canine gait and posture. However, the interference of soft tissues between markers and the underlying bones (soft tissue artefacts, STAs) may lead to errors in kinematics measurements. Currently, no optimal marker attachment sites and cluster compositions are recommended for canine gait analysis. The current study aims to evaluate cluster-level STAs and the effects of cluster compositions on the computed stifle kinematics. Ten mixed-breed healthy dogs affixed with 19 retroreflective markers on the thigh and shank were enrolled. During isolated stifle passive extension, the marker trajectories were acquired with a motion capture system, and the skeletal poses were determined by integrating fluoroscopic and CT images of the bones. The cluster-level STAs were assessed, and clusters were paired to calculate the stifle kinematics. A selection of cluster compositions was useful for deriving accurate sagittal and frontal plane stifle kinematics with flexion angles below 50 per cent of the range of motion. The findings contribute to improved knowledge of canine STAs and their influence on motion measurements. The marker composition with the smallest error in describing joint kinematics is recommended for future applications and study in dogs during dynamic gait assessment.
基于皮肤标记的运动分析已广泛用于评估犬步态和姿势的功能表现。然而，标记与下面骨骼之间的软组织干扰（软组织伪影，STAs）可能导致运动学测量中的误差。目前，尚无针对犬步态分析的最佳标记附着点和簇组成推荐。本研究旨在评估簇级 STA 以及簇组成对计算的膝关节运动学的影响。招募了 10 只混合品种健康犬，在大腿和小腿上贴上 19 个反光标记。在膝关节被动伸展过程中，使用运动捕捉系统获取标记轨迹，并通过整合骨骼的荧光透视和 CT 图像来确定骨骼姿势。评估了簇级 STA，并对簇进行配对以计算膝关节运动学。选择一组簇组成对于得出准确的矢状面和额状面膝关节运动学是有用的，前提是运动范围低于 50%。这些发现有助于提高对犬 STA 的认识及其对运动测量的影响。建议在未来的应用和对动态步态评估中的狗的研究中使用描述关节运动学误差最小的标记组成。
