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

M. Hossain, A. Muhit, M. Pickering, J. Scarvell, Paul N. Smith
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引用次数: 3

Abstract

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.
全膝关节置换术后膝关节运动分析的3D-2D图像配准算法
全膝关节置换术或TKA是一种外科手术,用于缓解严重关节炎引起的显著致残性疼痛。在TKA部件设计中,利用单平面透视技术进行三维-二维配准对于分析三维膝关节运动学非常重要。本研究的目的是确定一种新的3D-2D配准算法为TKA部件的运动学分析提供的精度。在本文中,我们将新的3D-2D配准算法获得的运动学测量结果与金标准伦琴立体分析(RSA)提供的测量结果进行了比较。研究的重点是面外平移和旋转运动,这些运动难以用单平面方法精确测量。从我们的实验结果中,我们发现在我们提出的算法中,种植体的面外平移误差的标准偏差为0.38mm,与RSA相比具有优势,并且明显低于其他先前提出的方法。
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