Carnegie Mellon Robotics Institute
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|Background and Objective — In laser retinal photocoagulation, hundreds of dot-like burns are applied. We introduce a robot-assisted technique to enhance the accuracy and reduce the tedium of the procedure.
Materials and Methods — Laser burn locations are overlaid on preoperative retinal images using common patterns such as grids. A stereo camera/monitor setup registers and displays the planned burn locations overlaid on real-time video. Using an active handheld micromanipulator, a 7x7 grid of burns spaced 650 μm apart is applied to both paper slides and porcine retina in vitro using 30 ms laser pulses at 532 nm. Two scenarios were tested: unaided, in which the micromanipulator is inert and the laser fires at a fixed frequency, and aided, in which the micromanipulator actively targets burn locations and the laser fires automatically upon target acquisition. Error is defined as the distance from the center of the observed burn mark to the preoperatively selected target location.
Results — An experienced retinal surgeon performed trials with and without robotic assistance, on both paper slides and porcine retina in vitro. In the paper slide experiments at an unaided laser repeat rate of 0.5 Hz, error was 125±62 μm with robotic assistance and 149±76 μm without (p < 0.005), and trial duration was 70±8 s with robotic assistance and 97±7 s without (p < 0.005). At a repeat rate of 1.0 Hz, error was 129±69 μm with robotic assistance and 166±91 μm without (p < 0.005), and trial duration was 26±4 s with robotic assistance and 47±1 s without (p < 0.005). At a repeat rate of 2.0 Hz on porcine retinal tissue, error was 123±69 μm with robotic assistance and 203±104 μm without (p < 0.005).
Conclusion — Robotic assistance can increase the accuracy of laser photocoagulation while reducing the duration of the operation.
|medical robotics, surgery, laser, retina, tremor, accuracy, visual servoing|
Sponsor: American Society for Laser Medicine and Surgery
National Institutes of Health
National Science Foundation
Associated Center(s) / Consortia: Medical Robotics Technology Center
Associated Lab(s) / Group(s): Surgical Mechatronics Laboratory
Associated Project(s): Micron: Intelligent Microsurgical Instruments
|Brian Becker, Robert MacLachlan, and Cameron Riviere, "Semiautomated intraocular laser surgery using handheld instruments," Lasers in Surgery and Medicine, Vol. 42, March, 2010, pp. 264-273.|
author = "Brian Becker and Robert MacLachlan and Cameron Riviere",
title = "Semiautomated intraocular laser surgery using handheld instruments",
journal = "Lasers in Surgery and Medicine",
pages = "264-273",
publisher = "Wiley InterScience",
month = "March",
year = "2010",
volume = "42",
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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