Zhou Mingchuan, Wu Jiahao, Ebrahimi Ali, Patel Niravkumar, Liu Yunhui, Navab Nassir, Gehlbach Peter, Knoll Alois, Nasseri M Ali, Iordachita Iulian
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Laboratory for Computational Sensing and Robotics at the Johns Hopkins University, Baltimore, MD 21218 USA.
IEEE Robot Autom Lett. 2021 Oct;6(4):7750-7757. doi: 10.1109/lra.2021.3100937. Epub 2021 Jul 30.
Retinal surgery is known to be a complicated and challenging task for an ophthalmologist even for retina specialists. Image guided robot-assisted intervention is among the novel and promising solutions that may enhance human capabilities during microsurgery. In this paper, a novel method is proposed for 3D navigation of a microsurgical instrument based on the projection of a spotlight during robot-assisted retinal surgery. To test the feasibility and effectiveness of the proposed method, a vessel tracking task in a phantom with a Remote Center of Motion (RCM) constraint is performed by the Steady-Hand Eye Robot (SHER). The results are compared to manual tracking, cooperative control tracking with the SHER and spotlight-based automatic tracking with SHER. The reported results are that the spotlight-based automatic tracking with SHER can reach an average tracking error of 0.013 mm and keeping distance error of 0.1 mm from the desired range demonstrating a significant improvement compared to manual or cooperative control methods alone.
视网膜手术对于眼科医生来说,即使是视网膜专科医生,也是一项复杂且具有挑战性的任务。图像引导的机器人辅助干预是新型且有前景的解决方案之一,可能会在显微手术中增强人类的能力。本文提出了一种基于机器人辅助视网膜手术期间聚光灯投影的显微手术器械三维导航新方法。为了测试该方法的可行性和有效性,稳定手眼机器人(SHER)在具有运动远程中心(RCM)约束的模型中执行血管跟踪任务。将结果与手动跟踪、SHER的协同控制跟踪以及SHER的基于聚光灯的自动跟踪进行比较。报告结果表明,SHER的基于聚光灯的自动跟踪平均跟踪误差可达0.013毫米,与期望范围的保持距离误差为0.1毫米,与单独的手动或协同控制方法相比有显著改进。