Spotlight-based 3D Instrument Guidance for Retinal Surgery
Mingchuan Zhou, Jiahao Wu, Ali Ebrahimi, Niravkumar Patel, Changyan He, Peter Gehlbach, Russell H. Taylor, Alois Knoll, M. Ali Nasseri, Iulian Iordachita
- Year
- 2020
- Citations
- 13
Abstract
Retinal surgery is a complex activity that can be challenging for a surgeon to perform effectively and safely. Image guided robot-assisted surgery is one of the promising solutions that bring significant surgical enhancement in treatment outcome and reduce the physical limitations of human surgeons. In this paper, we demonstrate a novel method for 3D guidance of the instrument based on the projection of spotlight in the single microscope images. The spotlight projection mechanism is firstly analyzed and modeled with a projection on both a plane and a sphere surface. To test the feasibility of the proposed method, a light fiber is integrated into the instrument which is driven by the Steady-Hand Eye Robot (SHER). The spot of light is segmented and tracked on a phantom retina using the proposed algorithm. The static calibration and dynamic test results both show that the proposed method can easily archive 0.5 mm of tip-to-surface distance which is within the clinically acceptable accuracy for intraocular visual guidance.
Keywords
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