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一种基于磁流变液的机器人辅助导管/导丝手术系统用于血管内导管插入术

A Magnetorheological Fluids-Based Robot-Assisted Catheter/Guidewire Surgery System for Endovascular Catheterization.

作者信息

Zhang Linshuai, Gu Shuoxin, Guo Shuxiang, Tamiya Takashi

机构信息

School of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China.

Faculty of Engineering and Design, Kagawa University, Takamatsu 761-0396, Japan.

出版信息

Micromachines (Basel). 2021 May 30;12(6):640. doi: 10.3390/mi12060640.

Abstract

A teleoperated robotic catheter operating system is a solution to avoid occupational hazards caused by repeated exposure radiation of the surgeon to X-ray during the endovascular procedures. However, inadequate force feedback and collision detection while teleoperating surgical tools elevate the risk of endovascular procedures. Moreover, surgeons cannot control the force of the catheter/guidewire within a proper range, and thus the risk of blood vessel damage will increase. In this paper, a magnetorheological fluid (MR)-based robot-assisted catheter/guidewire surgery system has been developed, which uses the surgeon's natural manipulation skills acquired through experience and uses haptic cues to generate collision detection to ensure surgical safety. We present tests for the performance evaluation regarding the teleoperation, the force measurement, and the collision detection with haptic cues. Results show that the system can track the desired position of the surgical tool and detect the relevant force event at the catheter. In addition, this method can more readily enable surgeons to distinguish whether the proximal force exceeds or meets the safety threshold of blood vessels.

摘要

遥控机器人导管操作系统是一种解决方案,可避免在血管内手术过程中外科医生因反复暴露于X射线下而产生职业危害。然而,在远程操作手术工具时,力反馈和碰撞检测不足会增加血管内手术的风险。此外,外科医生无法将导管/导丝的力控制在适当范围内,因此血管损伤的风险会增加。在本文中,已经开发了一种基于磁流变液(MR)的机器人辅助导管/导丝手术系统,该系统利用外科医生通过经验获得的自然操作技能,并使用触觉提示来生成碰撞检测以确保手术安全。我们展示了关于远程操作、力测量以及带有触觉提示的碰撞检测的性能评估测试。结果表明,该系统可以跟踪手术工具的期望位置,并检测导管处的相关力事件。此外,这种方法可以更容易地使外科医生区分近端力是否超过或达到血管的安全阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/389f/8226888/8bf93f872061/micromachines-12-00640-g001.jpg

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