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用于经皮冠状动脉介入治疗引导的术中 2D XA 和术前 3D CTA 图像的快速精确配准方法。

Rapid and Accurate Registration Method between Intraoperative 2D XA and Preoperative 3D CTA Images for Guidance of Percutaneous Coronary Intervention.

机构信息

School of Computer Science and Engineering, Soongsil University, 369 Sangdo-ro, Dongjak-gu, Seoul 156-743, Republic of Korea.

Asan Image Metrics, Clinical Trial Center, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 138-736, Republic of Korea.

出版信息

Comput Math Methods Med. 2019 Aug 22;2019:3253605. doi: 10.1155/2019/3253605. eCollection 2019.

Abstract

In this paper, we propose a rapid rigid registration method for the fusion visualization of intraoperative 2D X-ray angiogram (XA) and preoperative 3D computed tomography angiography (CTA) images. First, we perform the cardiac cycle alignment of a patient's 2D XA and 3D CTA images obtained from a different apparatus. Subsequently, we perform the initial registration through alignment of the registration space and optimal boundary box. Finally, the two images are registered where the distance between two vascular structures is minimized by using the local distance map, selective distance measure, and optimization of transformation function. To improve the accuracy and robustness of the registration process, the normalized importance value based on the anatomical information of the coronary arteries is utilized. The experimental results showed fast, robust, and accurate registration using 10 cases, each of the left coronary artery (LCA) and right coronary artery (RCA). Our method can be used as a computer-aided technology for percutaneous coronary intervention (PCI). Our method can be applied to the study of other types of vessels.

摘要

在本文中,我们提出了一种快速刚性配准方法,用于融合术中二维 X 射线血管造影 (XA) 和术前三维计算机断层血管造影 (CTA) 图像以进行可视化。首先,我们对来自不同设备的患者的二维 XA 和三维 CTA 图像进行心脏周期配准。随后,我们通过注册空间和最佳边界框的对齐来执行初始注册。最后,通过使用局部距离图、选择距离度量和变换函数的优化,将两个图像进行配准,以最小化两个血管结构之间的距离。为了提高注册过程的准确性和鲁棒性,我们利用了基于冠状动脉解剖信息的归一化重要值。使用 10 个左冠状动脉 (LCA) 和右冠状动脉 (RCA) 的病例进行了快速、稳健和准确的实验验证。我们的方法可作为经皮冠状动脉介入治疗 (PCI) 的计算机辅助技术。我们的方法可以应用于其他类型的血管的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/181c/6724445/fe10506ac81a/CMMM2019-3253605.001.jpg

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