Kuru Ismail, Gonenc Berk, Balicki Marcin, Handa James, Gehlbach Peter, Taylor Russell H, Iordachita Iulian
Institute of Micro Technology and Medical Device Technology (MiMed), Technische Universität München, München, Germany.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1401-4. doi: 10.1109/EMBC.2012.6346201.
Membrane peeling is a standard vitreoretinal procedure, where the surgeon delaminates a very thin membrane from retina surface using surgical picks and forceps. This requires extremely delicate manipulation of the retinal tissue. Applying excessive forces during the surgery can cause serious complications leading to vision loss. For successful membrane peeling, most of the applied forces need to be very small, well below the human tactile sensation threshold. In this paper, we present a robotic system that combines a force sensing forceps tool and a cooperatively-controlled surgical robot. This combination allows us to measure the forces directly at the tool tip and use this information for limiting the applied forces on the retina. This may prevent many iatrogenic injuries and allow safer maneuvers during vitreoretinal procedures. We show that our system can successfully eliminate hand-tremor and excessive forces in membrane peeling experiments on the inner shell membrane of a chicken embryo.
膜剥离是一种标准的玻璃体视网膜手术,外科医生使用手术镊和镊子从视网膜表面分离出一层非常薄的膜。这需要对视网膜组织进行极其精细的操作。手术过程中施加过大的力会导致严重并发症,进而导致视力丧失。为了成功进行膜剥离,大多数施加的力需要非常小,远低于人类触觉阈值。在本文中,我们提出了一种机器人系统,该系统结合了力传感镊子工具和协同控制的手术机器人。这种组合使我们能够直接在工具尖端测量力,并利用这些信息来限制施加在视网膜上的力。这可以预防许多医源性损伤,并在玻璃体视网膜手术中实现更安全的操作。我们表明,在鸡胚内壳膜的膜剥离实验中,我们的系统能够成功消除手部震颤和过大的力。