Balicki Marcin, Uneri Ali, Iordachita Iulian, Handa James, Gehlbach Peter, Taylor Russell
ERC for Computer Integrated Surgery, Johns Hopkins University, USA.
Med Image Comput Comput Assist Interv. 2010;13(Pt 3):303-10. doi: 10.1007/978-3-642-15711-0_38.
Vitreoretinal surgeons use 0.5 mm diameter instruments to manipulate delicate tissue inside the eye while applying imperceptible forces that can cause damage to the retina. We present a system which robotically regulates user-applied forces to the tissue, to minimize the risk of retinal hemorrhage or tear during membrane peeling, a common task in vitreoretinal surgery. Our research platform is based on a cooperatively controlled microsurgery robot. It integrates a custom micro-force sensing surgical pick, which provides conventional surgical function and real time force information. We report the development of a new phantom, which is used to assess robot control, force feedback methods, and our newly implemented auditory sensory substitution to specifically assist membrane peeling. Our findings show that auditory sensory substitution decreased peeling forces in all tests, and that robotic force scaling with audio feedback is the most promising aid in reducing peeling forces and task completion time.
玻璃体视网膜外科医生使用直径为0.5毫米的器械在眼内操作 delicate 组织,同时施加可能会对视网膜造成损伤的难以察觉的力。我们提出了一种系统,该系统能自动调节用户施加在组织上的力,以将玻璃体视网膜手术中常见的膜剥离任务期间视网膜出血或撕裂的风险降至最低。我们的研究平台基于一个协同控制的显微手术机器人。它集成了一个定制的微力传感手术探针,该探针提供传统的手术功能和实时力信息。我们报告了一种新型模型的开发情况,该模型用于评估机器人控制、力反馈方法以及我们新实施的听觉感官替代,以专门辅助膜剥离。我们的研究结果表明,在所有测试中,听觉感官替代都降低了剥离力,并且带有音频反馈的机器人力缩放是减少剥离力和任务完成时间最有前景的辅助手段。