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The registration of 2D/3D images in robot-assisted cervical disc replacement surgery

机译:机器人辅助颈椎间盘置换术中2D / 3D图像的配准

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Robot assisting artificial cervical disc replacement surgery is a surgery which is operated widely, however, because the registration of 2D/3D during the operation is the key technology and very difficult, the success rate of this surgery is very low. In this paper, a 2D/3D registration method of 2D/3D aiming at this surgery based on grayscale of image is developed. In this registration method, ray casting method is used to generate DRR, normalized correlation is used as similarity measure and Powell's optimizer is used as the optimization method. A test of registration using DRR simulation aiming at this registration method is also performed, and the experimental results show that the axial displacement error is below 0.5mm and the axial rotation error is below 0.2°. Because this registration method needs only two C-arm images, it can be applied to minimally invasive surgery.
机译:辅助人工颈椎间盘置换手术的机器人是一种被广泛使用的手术,但是,由于手术中2D / 3D的配准是关键技术并且非常困难,因此该手术的成功率非常低。本文针对这种手术,开发了一种基于图像灰度的2D / 3D 2D / 3D配准方法。在这种配准方法中,使用射线投射方法生成DRR,使用归一化相关性作为相似性度量,并使用Powell优化器作为优化方法。针对这种配准方法,还进行了DRR模拟配准测试,实验结果表明轴向位移误差在0.5mm以下,轴向旋转误差在0.2°以下。由于该套准方法仅需要两个C型臂图像,因此可以应用于微创手术。

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