Charbonnier Caecilia, Chagué Sylvain, Kolo Frank C, Duthon Victoria B, Menetrey Jacques
a Medical Research Department , Artanim Foundation , Meyrin , Switzerland.
b Rive Droite Radiology Center , Geneva , Switzerland.
Comput Methods Biomech Biomed Engin. 2017 Nov;20(14):1571-1579. doi: 10.1080/10255842.2017.1390568. Epub 2017 Oct 26.
When estimating knee kinematics from skin markers and stereophotogrammetry, multi-body optimization (MBO) has provided promising results for reducing soft tissue artefacts (STA), but can still be improved. The goal of this study was to assess the performance of MBO with subject-specific knee models at high knee flexion angles (up to 110°) against knee joint kinematics measured by magnetic resonance imaging. Eight subjects were recruited. MBO with subject-specific knee models was more effective in compensating STA compared to no kinematic and spherical constraints, in particular for joint displacements. Moreover, it seems to be more reliable over large ranges of knee flexion angle. The ranges of root mean square errors for knee rotations/displacements were 3.0°-9.2°/1.3-3.5 mm for subject-specific knee models, 6.8°-8.7°/6.0-12.4 mm without kinematic constraint and 7.1°-9.8°/4.9-12.5 mm for spherical constraints.
当通过皮肤标记和立体摄影测量法估计膝关节运动学时，多体优化（MBO）在减少软组织伪影（STA）方面已取得了有前景的结果，但仍有改进空间。本研究的目的是使用个体化膝关节模型评估多体优化在高膝关节屈曲角度（高达110°）下相对于磁共振成像测量的膝关节运动学的性能。招募了8名受试者。与无运动学和球形约束相比，使用个体化膝关节模型的多体优化在补偿软组织伪影方面更有效，特别是对于关节位移。此外，在较大的膝关节屈曲角度范围内它似乎更可靠。个体化膝关节模型的膝关节旋转/位移均方根误差范围为3.0°-9.2°/1.3-3.5毫米，无运动学约束时为6.8°-8.7°/6.0-12.4毫米，球形约束时为7.1°-9.8°/4.9-12.5毫米。
