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

Jiahao Wu, Changyan He, Mingchuan Zhou, Ali Ebrahimi, Muller Urias, Niravkumar A Patel, Yun-Hui Liu, Peter Gehlbach, Iulian Iordachita
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引用次数: 2

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.

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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:初步研究。
视网膜静脉插管(RVC)是一种治疗视网膜静脉闭塞(RVO)的潜在方法。由于涉及的血管和器械非常小,以及存在生理性手部震颤,手工手术在RVC中有局限性。机器人辅助视网膜手术可能是更好的方法平滑和准确的仪器操作在这个过程中。与心跳相关的视网膜和角膜的运动可能与工具和眼球之间的意外力有关。在本文中,我们提出了一种基于力的控制策略来自动补偿视网膜的运动,使尖端力和巩膜力保持在预定的小范围内。双力传感工具用于监测尖端力、巩膜力和刀具插入深度,并通过改进的导纳控制器获得机器人所需的关节速度。然后操作工具来补偿视网膜的运动,以及减少尖端力和巩膜力。定量实验验证了控制策略的有效性,并由视网膜外科医生进行了用户研究,以证明我们的自动补偿方法的优势。
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