Robotically aligned optical coherence tomography for socially distanced clinical ophthalmic imaging

Ryan P. McNabb; Pablo Ortiz; Kyung-Min Roh; Mark Draelos; Charlene James; Stefanie G. Schuman; Glenn Jaffe; Joseph A. Izatt; Anthony N. Kuo

doi:10.1117/12.2576536

5 March 2021 Robotically aligned optical coherence tomography for socially distanced clinical ophthalmic imaging

Ryan P. McNabb, Pablo Ortiz, Kyung-Min Roh, Mark Draelos, Charlene James, Stefanie G. Schuman, Glenn Jaffe, Joseph A. Izatt, Anthony N. Kuo

Author Affiliations +

Proceedings Volume 11623, Ophthalmic Technologies XXXI; 116231E (2021) https://doi.org/10.1117/12.2576536
Event: SPIE BiOS, 2021, Online Only

Abstract

The physical distancing requirements necessary to prevent spread of the novel coronavirus, SARS-CoV-2, requires a change in approach for clinical ophthalmic imaging. Conventional optical coherence tomography (OCT) systems require patients to position themselves in chin/forehead rests for stabilization with the system operator in close proximity. We developed a robotically aligning OCT (RAOCT) system that provides volumetric retinal images encompassing both the optic nerve head and fovea. Our RAOCT system self aligned to subjects’ eyes (seated, no contact with restraints), acquired OCT images of both normal and diseased retinas, all with allowing the operator behind a barrier >2 m from the subjects.

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Ryan P. McNabb, Pablo Ortiz, Kyung-Min Roh, Mark Draelos, Charlene James, Stefanie G. Schuman, Glenn Jaffe, Joseph A. Izatt, and Anthony N. Kuo "Robotically aligned optical coherence tomography for socially distanced clinical ophthalmic imaging", Proc. SPIE 11623, Ophthalmic Technologies XXXI, 116231E (5 March 2021); https://doi.org/10.1117/12.2576536

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