Gonenc Berk, Gehlbach Peter, Taylor Russell H, Iordachita Iulian
Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Wilmer Eye Institute, The Johns Hopkins School of Medicine, Baltimore, MD, USA.
Proc IEEE Sens. 2017 Oct-Nov;2017. doi: 10.1109/ICSENS.2017.8234070. Epub 2017 Dec 25.
Retinal microsurgery involves careful manipulation of delicate tissues by applying very small amount of forces most of which lie below the tactile sensory threshold of the surgeons. Membrane peeling is a common task in this domain, where application of excessive peeling forces can easily lead to serious complications, hence needs to be avoided. To quantify tool-tissue interaction forces during retinal microsurgery, various force-sensing tools were developed based on fiber Bragg grating sensors, yet the most beneficial way of using the acquired force information is currently unknown. In this study, using a motorized force-sensing micro-forceps tool, we develop an assistive method that enhances safety during membrane peeling by automatically opening the forceps and releasing the tissue based on the detected peeling forces. Through peeling experiments using bandages, we demonstrate that our method can effectively maintain the peeling force at a safe level even in case of non-homogeneous adhesion properties of the membrane.
视网膜显微手术需要通过施加非常小的力来小心操作 delicate tissues,其中大部分力低于外科医生的触觉感知阈值。膜剥离是该领域的常见任务,在此过程中,施加过大的剥离力很容易导致严重并发症,因此需要避免。为了量化视网膜显微手术期间的工具-组织相互作用力,基于光纤布拉格光栅传感器开发了各种力传感工具,但目前尚不清楚使用所获取力信息的最有益方式。在本研究中,我们使用电动力传感微型镊子工具,开发了一种辅助方法,通过基于检测到的剥离力自动打开镊子并释放组织,来提高膜剥离过程中的安全性。通过使用绷带进行剥离实验,我们证明即使在膜的粘附特性不均匀的情况下,我们的方法也能有效地将剥离力维持在安全水平。