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机器人辅助视网膜手术中基于力的安全静脉插管:一项初步研究。

Force-based Safe Vein Cannulation in Robot-assisted Retinal Surgery: A Preliminary Study.

作者信息

Wu Jiahao, He Changyan, Zhou Mingchuan, Ebrahimi Ali, Urias Muller, Patel Niravkumar A, Liu Yun-Hui, Gehlbach Peter, Iordachita Iulian

机构信息

T Stone Robotics Institute, the Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, HKSAR, China; LCSR at the Johns Hopkins University, Baltimore, MD 21218 USA.

LCSR at the Johns Hopkins University, Baltimore, MD 21218 USA.

出版信息

Int Symp Med Robot. 2020 Nov;2020. doi: 10.1109/ismr48331.2020.9312945. Epub 2021 Jan 11.

Abstract

Retinal vein cannulation (RVC) is a potential treatment for retinal vein occlusion (RVO). Manual surgery has limitations in RVC due to extremely small vessels and instruments involved, as well as the presence of physiological hand tremor. Robot-assisted retinal surgery may be a better approach to smooth and accurate instrument manipulation during this procedure. Motion of the retina and cornea related to heartbeat may be associated with unexpected forces between the tool and eyeball. In this paper, we propose a force-based control strategy to automatically compensate for the movement of the retina maintaining the tip force and sclera force in a predetermined small range. A dual force-sensing tool is used to monitor the tip force, sclera force and tool insertion depth, which will be used to derive a desired joint velocity for the robot via a modified admittance controller. Then the tool is manipulated to compensate for the movement of the retina as well as reduce the tip force and sclera force. Quantitative experiments are conducted to verify the efficacy of the control strategy and a user study is also conducted by a retinal surgeon to demonstrate the advantages of our automatic compensation approach.

摘要

视网膜静脉插管(RVC)是视网膜静脉阻塞(RVO)的一种潜在治疗方法。由于涉及的血管和器械极小,以及存在生理性手部震颤,手动手术在RVC中存在局限性。机器人辅助视网膜手术可能是在此手术过程中实现平稳、精确器械操作的更好方法。与心跳相关的视网膜和角膜运动可能会导致工具与眼球之间产生意外的力。在本文中,我们提出了一种基于力的控制策略,以自动补偿视网膜的运动,将尖端力和巩膜力保持在预定的小范围内。使用双力传感工具来监测尖端力、巩膜力和工具插入深度,通过改进的导纳控制器将其用于推导机器人所需的关节速度。然后操纵工具以补偿视网膜的运动,并降低尖端力和巩膜力。进行了定量实验以验证控制策略的有效性,并且视网膜外科医生还进行了用户研究,以证明我们自动补偿方法的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0f17/8480430/8aee5a3b8a6a/nihms-1574075-f0001.jpg

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