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An Efficient Image Registration Method for 3D Post-Operative Analysis of Total Knee Arthroplasty

机译:用于全膝关节置换术3D术后分析的有效图像配准方法

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Image registration is the process of spatially aligning one image to another. It has applicationsin different areas of medical image analysis. It can be used to assist the investigation of jointkinematics in conditions such as ligament injury, osteoarthritis, and after joint replacement.Analysing the 3D movement of joints after total knee arthroplasty surgery is crucial as thecorrect position and relative movement of knee implants will significantly impact the success ofthe surgery. However, most studies on this area are not very accurate or computationallyexpensive, or invasive, and still insufficient and developing. In this paper, we propose a noninvasiveand robust 3D to 2D registration method, which can be used for 3D evaluations of thestatus of knee implants. This method addresses several challenges with regard to theregistration of the implants. The experimental results show that the proposed method is not onlyrobust but also fast.
机译:图像配准是将一个图像与另一个图像在空间上对齐的过程。它在医学图像分析的不同领域都有应用。它可用于辅助研究韧带损伤,骨关节炎和关节置换后的关节运动学。分析全膝关节置换术后关节的3D运动至关重要,因为正确的位置和相对的膝关节植入物的运动会显着影响关节的安全性。手术成功。然而,关于该领域的大多数研究不是非常准确或计算昂贵,或具有侵入性,并且仍不足以发展。在本文中,我们提出了一种无创且鲁棒的3D到2D配准方法,该方法可用于膝关节植入物状态的3D评估。该方法解决了关于植入物配准的几个挑战。实验结果表明,该方法不仅鲁棒而且快速。

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