Automated analysis of trapeziometacarpal joint kinematics using four-dimensional computed tomography.

Kjell Van Royen, Benyameen Keelson, Tjeerd Jager, Nico Buls, Thierry Scheerlinck, Erik Cattrysse
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Abstract

The aim of this study was to develop an automated approach model to define in vivo kinematics of the trapeziometacarpal (TMC) joint using four-dimensional computed tomography. A total of 15 healthy volunteers were included and their TMC joint kinematics were studied during a retropulsion-opposition-retropulsion movement. We used cardan angles estimated from transformation matrices using a ZYX-decomposition and analysed the motion of the thumb metacarpal relative to the trapezium, the thumb metacarpal relative to the index metacarpal, and the trapezium relative to the index metacarpal. The study also included an analysis of the joint hysteresis effect and a joint proximity model that estimated the joint contact area during a retropulsion-opposition-retropulsion movement. The automated approach significantly decreased the time needed to analyse each case and makes this model applicable for further research on TMC kinematics.

利用四维计算机断层扫描自动分析梯形掌关节运动学。
本研究旨在开发一种自动方法模型,利用四维计算机断层扫描确定梯形掌(TMC)关节的活体运动学。我们共纳入了 15 名健康志愿者,研究了他们在反推-反位-反推运动过程中的 TMC 关节运动学特性。我们使用 ZYX 分解法从变换矩阵中估算出的万向角,分析了拇指掌骨相对于斜方肌的运动、拇指掌骨相对于食指掌骨的运动以及斜方肌相对于食指掌骨的运动。研究还包括关节滞后效应分析和关节接近模型,该模型可估算反推-反位-反推运动中的关节接触面积。自动化方法大大减少了分析每个病例所需的时间,并使该模型适用于对 TMC 运动学的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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