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一种用于机器人辅助血管内介入治疗的基于图像的导丝导航方法。

An image-based guidewire navigation method for robot-assisted intravascular interventions.

作者信息

Ji Cheng, Hou Zeng-Guang, Xie Xiao-Liang

机构信息

Key Laboratory of Complex Systems and Intelligence Science,Institute of Automation, Chinese Academy of Sciences, Beijing, China.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6680-5. doi: 10.1109/IEMBS.2011.6091647.

Abstract

This paper aims at using a newly developed robotic system to automatically deliver guidewires or catheters to the target site on percutaneous coronary interventions (PCIs) or electrophysiology interventions. An autonomous delivery strategy using electromagnetic tracking technology is introduced and phantom experiments are performed to validate this strategy. In order to advance the guidewire into the planned branch, the strategy classifies this branch selection problem into three cases according to the width of the vessels and employs an image-based algorithm for the first and second cases. Another image-based algorithm specifically designed for the third case is also presented.

摘要

本文旨在利用新开发的机器人系统,在经皮冠状动脉介入治疗(PCI)或电生理介入治疗中自动将导丝或导管输送至目标部位。介绍了一种使用电磁跟踪技术的自主输送策略,并进行了模拟实验以验证该策略。为了将导丝推进到规划的分支中,该策略根据血管宽度将分支选择问题分为三种情况,并针对第一种和第二种情况采用基于图像的算法。还提出了专门为第三种情况设计的另一种基于图像的算法。

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