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3D/2D Image Registration Method for Joint Motion Analysis Using Low-Quality Images from Mini C-Arm Machines

机译:使用小型C型臂机的低质量图像进行关节运动分析的3D / 2D图像配准方法

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A 3D kinematic measurement of joint movement is crucial for orthopedic surgery assessment and diagnosis. This is usually obtained through a frame-by-frame registration of the 3D bone volume to a fluoroscopy video of the joint movement. The high cost of a high-quality fluoroscopy imaging system has hindered the access of many labs to this application. This is while the more affordable and low-dosage version, the mini C-arm, is not commonly used for this application due to low image quality. In this paper, we introduce a novel method for kinematic analysis of joint movement using the mini C-arm. In this method the bone of interest is recovered and isolated from the rest of the image using a non-rigid registration of an atlas to each frame. The 3D/2D registration is then performed using the weighted histogram of image gradients as an image feature. In our experiments, the registration error was 0.89 mm and 2.36° for human C2 vertebra. While the precision is still lacking behind a high quality fluoroscopy machine, it is a good starting point facilitating the use of mini C-arms for motion analysis making this application available to lower-budget environments. Moreover, the registration was highly resistant to the initial distance from the true registration, converging to the answer from anywhere within ±90° of it.
机译:关节运动的3D运动学测量对于骨科手术评估和诊断至关重要。这通常是通过将3D骨体积逐帧配准到关节运动的荧光检查视频中获得的。高质量荧光透视成像系统的高成本阻碍了许多实验室使用该应用程序。与此相对,由于图像质量低,价格更便宜,剂量更小的迷你C型臂不常用于此应用程序。在本文中,我们介绍了一种使用微型C形臂进行关节运动的运动学分析的新方法。在这种方法中,使用图集对每个帧的非刚性配准,可以从图像的其余部分中恢复并分离出感兴趣的骨骼。然后使用图像梯度的加权直方图作为图像特征执行3D / 2D配准。在我们的实验中,人C2椎骨的套准误差为0.89 mm和2.36°。尽管高质量荧光透视仪的精度仍然不高,但它是一个很好的起点,有助于使用微型C型臂进行运动分析,从而使该应用程序可用于预算较低的环境。此外,配准对从真实配准起的初始距离具有很高的抵抗力,可以从其±90°范围内的任何位置收敛到答案。

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