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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

Projection (relational algebra)Imaging phantomComputer visionArtificial intelligenceComputer scienceRobotPlane (geometry)OpticsMathematicsPhysics

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