Song Cheol, Park Dong Yong, Gehlbach Peter L, Park Seong Jin, Kang Jin U
Department of Electrical and Computer Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.
Biomed Opt Express. 2013 Jun 4;4(7):1045-50. doi: 10.1364/BOE.4.001045. Print 2013 Jul 1.
A handheld Smart Micromanipulation Aided Robotic-surgery Tool (SMART) micro-forceps guided by a fiber-optic common-path optical coherence tomography (CP-OCT) sensor is presented. A fiber-optic CP-OCT distance and motion sensor is integrated into the shaft of a micro-forceps. The tool tip position is manipulated longitudinally through a closed loop control using a piezoelectric motor. This novel forceps design could significantly enhance safety, efficiency and surgical outcomes. The basic grasping and peeling functions of the micro-forceps are evaluated in dry phantoms and in a biological tissue model. As compared to freehand use, targeted grasping and peeling performance assisted by active tremor compensation, significantly improves micro-forceps user performance.
本文介绍了一种由光纤共光路光学相干断层扫描(CP-OCT)传感器引导的手持式智能显微操作辅助机器人手术工具(SMART)微型镊子。一个光纤CP-OCT距离和运动传感器集成到微型镊子的杆身中。通过使用压电电机的闭环控制纵向操纵工具尖端位置。这种新颖的镊子设计可以显著提高安全性、效率和手术效果。在干式模型和生物组织模型中评估了微型镊子的基本抓取和剥离功能。与徒手使用相比,主动震颤补偿辅助下的靶向抓取和剥离性能显著提高了微型镊子的使用性能。