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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.

DOI:10.1155/2019/3253605
PMID:31534471
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6724445/
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/a23db1db5788/CMMM2019-3253605.011.jpg
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本文引用的文献

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2
Automatic Coronary Artery Segmentation Using Active Search for Branches and Seemingly Disconnected Vessel Segments from Coronary CT Angiography.利用主动搜索冠状动脉CT血管造影中的分支和看似断开的血管段进行自动冠状动脉分割
PLoS One. 2016 Aug 18;11(8):e0156837. doi: 10.1371/journal.pone.0156837. eCollection 2016.
3
Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite Programming.
基于半定规划的非迭代刚性 2D/3D 点集配准。
IEEE Trans Image Process. 2016 Jul;25(7):2956-2970. doi: 10.1109/TIP.2016.2540810. Epub 2016 Mar 10.
4
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA.一种利用局部几何特征进行快速种子点检测以在CTA中自动跟踪冠状动脉的方法。
Comput Methods Programs Biomed. 2014 Nov;117(2):179-88. doi: 10.1016/j.cmpb.2014.07.005. Epub 2014 Jul 24.
5
Iterative closest curve: a framework for curvilinear structure registration application to 2D/3D coronary arteries registration.迭代最近曲线：一种用于曲线结构配准的框架应用于二维/三维冠状动脉配准。
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6
Point set registration: coherent point drift.点集配准：相干点漂移。
IEEE Trans Pattern Anal Mach Intell. 2010 Dec;32(12):2262-75. doi: 10.1109/TPAMI.2010.46.
7
Patient specific 4D coronary models from ECG-gated CTA data for intra-operative dynamic alignment of CTA with X-ray images.基于心电图门控CTA数据的患者特异性4D冠状动脉模型，用于术中CTA与X射线图像的动态对齐。
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8
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9
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10
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