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A 3D-2D Image Registration Algorithm for Kinematic Analysis of the Knee after Total Knee Arthroplasty (TKA)

机译:全膝关节置换术后膝关节运动分析的3D-2D图像配准算法(TKA)

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Total Knee Arthroplasty or TKA is a surgical procedure for relief of significant, disabling pain caused by severe arthritis. In TKA component design, 3D-2D registration using single plane fluoroscopy is very important for analyzing 3D knee kinematics. The purpose of this study is to determine the precision provided by a new 3D-2D registration algorithm for the kinematic analysis of TKA components. In this paper, we compare kinematic measurements obtained by our new 3D-2D registration algorithm with measurements provided by the gold standard Roentgen Stereo analysis (RSA). The main focus of the study is on the out-of-plane translation and rotation movements which are difficult to measure precisely using a single plane approach. From our experimental results we found that in the proposed algorithm the standard deviation of the error for out-of-plane translation is 0.38mm for the implant which compares favorably to RSA and is significantly lower than other previously proposed approaches can provide.
机译:总膝关节置换术或TKA是一种用于缓解显着的外科手术,致残性关节炎引起的疼痛。在TKA组件设计中,使用单面荧光透视的3D-2D注册对于分析3D膝关节运动来说非常重要。本研究的目的是确定新的3D-2D登记算法提供的TKA组件的运动学分析提供的精度。在本文中,我们比较我们的新的3D-2D登记算法获得的运动测量,并通过金标准Roentgen立体声分析(RSA)提供的测量。该研究的主要重点是在平面外平移和旋转运动中,难以使用单个平面方法精确测量。从我们的实验结果发现,在所提出的算法中,植入物外平面翻译错误的标准偏差为0.38mm,其对RSA有利比较,并且显着低于其他先前提出的方法可以提供的方法。

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