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Estimation of Operative Line of Resection Using Preoperative Image and Nonrigid Registration

机译:使用术前图像和非侵略性注册估算切除术曲线

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Even though accurate diagnosis of organs is done using preoperative images such as CT or MRI, these information are not directly used in the operating room, because organs are nonrigid and their shapes change with time. In this paper, we propose to obtain an intraoperative image of an open organ and fuse the image with a preoperative image. The intraoperative image is obtained from a three-dimensional laser scanner. The registration of preoperative image to the intraoperative image can relate the information from the preoperative image to the open organ in the operating room. We do this by registering preoperative images to intraoperative images. An algorithm based on Robust Point Matching method is developed for this nonrigid image registration problem. We also propose a new metric called Non Overlapping Ratio to determine the registration error. The experiments demonstrate that the proposed method is capable of achieving region of interest estimation within 1.51mm mean distance error and 0.66% Non Overlapping Ratio.
机译:尽管使用诸如CT或MRI的术前图像进行准确诊断器官,但这些信息也不直接在手术室中使用,因为器官是非脂肪的,并且它们的形状随时间而变化。在本文中,我们建议获得开放器官的术中图像并用术前图像熔断图像。从三维激光扫描仪获得术中图像。对术中图像的术前图像的登记可以将来自术前图像的信息与手术室中的开放器官相关联。我们通过将术前图像注册到术中图像来完成此操作。开发了一种基于鲁棒点匹配方法的算法,用于该非身份图像配准问题。我们还提出了一种称为非重叠比率的新度量来确定注册误差。实验表明,所提出的方法能够在1.51mm平均距离误差和0.66%的非重叠率内实现感兴趣区域。

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