Trocar localisation for robot-assisted vitreoretinal surgery

被引:3
|
作者
Birch, Jeremy [1 ]
Da Cruz, Lyndon [2 ]
Rhode, Kawal [1 ]
Bergeles, Christos [1 ]
机构
[1] Kings Coll London, Sch Biomed Engn & Imaging Sci, London WC2R 2LS, England
[2] Moorfields Eye Hosp, 162 City Rd, London EC1V 2PD, England
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
Robotics; Eye-surgery; Trocar; Localisation; ArUco; Aurora; REMOTE CENTER;
D O I
10.1007/s11548-023-02987-y
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
PurposeRobot-assisted vitreoretinal surgery provides precise and consistent operations on the back of the eye. To perform this safely, knowledge of the surgical instrument's remote centre of motion (RCM) and the location of the insertion point into the eye (trocar) is required. This enables the robot to align both positions to pivot the instrument about the trocar, thus preventing any damaging lateral forces from being exerted.MethodsBuilding on a system developed in previous work, this study presents a trocar localisation method that uses a micro-camera mounted on a vitreoretinal surgical forceps, to track two ArUco markers attached on either side of a trocar. The trocar position is the estimated midpoint between the markers.ResultsExperimental evaluation of the trocar localisation was conducted. Results showed an RMSE of 1.82 mm for the localisation of the markers and an RMSE of 1.24 mm for the trocar localisation.ConclusionsThe proposed camera-based trocar localisation presents reasonable consistency and accuracy and shows improved results compared to other current methods. Optimum accuracy for this application would necessitate a 1.4 mm absolute error margin, which corresponds to the trocar's radius. The trocar localisation results are successfully found within this margin, yet the marker localisation would require further refinement to ensure consistency of localisation within the error margin. Further work will refine these position estimates and ensure the error stays consistently within this boundary.
引用
收藏
页码:191 / 198
页数:8
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