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Three-Dimensional Respiratory Deformation Processing for CT Vessel Images Using Angiographic Images

机译:利用血管造影图像对CT血管图像进行三维呼吸变形处理

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In interventional radiology, fluoroscopy is used to determine the position of the catheter inserted into a vessel. However, since vessels cannot be identified in fluoroscopic images, it is difficult to forward a catheter to a target region only with fluoroscopy. Thus, angiography and preoperative computed tomography (CT) images are used for the clinical purpose. CT images are useful for understanding the three-dimensional (3D) structure, but guidance of catheter is still difficult since the relationship between CT images and the fluoroscopic image is unclear. In this study, we developed a method for 3D representation of deformed vessels in CT images using an angiographic image acquired preop-eratively under natural respiration and preoperative CT images. We implemented the registration algorithm and applied it to patient data. As a result, we confirmed that the vessels in CT images were correctly deformed, and a position error was two pixels in the median value.
机译:在介入放射学中,荧光透视用于确定插入血管中的导管的位置。但是,由于无法在透视图像中识别出血管,因此仅通过透视就难以将导管向目标部位送出。因此,血管造影和术前计算机断层扫描(CT)图像用于临床目的。 CT图像对于理解三维(3D)结构很有用,但是导管的引导仍然很困难,因为CT图像和透视图像之间的关系不清楚。在这项研究中,我们开发了一种在自然呼吸和术前CT图像下使用术前采集的血管造影图像对CT图像中的变形血管进行3D表示的方法。我们实施了注册算法,并将其应用于患者数据。结果,我们确认了CT图像中的血管正确变形,并且位置误差为中值两个像素。

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