Presentation
5 March 2021 Autoaligning and autofocusing robotic optical coherence tomography of the retina for subject motion, gaze, and defocus compensation
Pablo Ortiz, Mark Draelos, Ryan P. McNabb, Amit M. Narawane, Christian Viehland, Anthony N. Kuo, Joseph A. Izatt
Author Affiliations +
Abstract
Optical coherence tomography (OCT) has revolutionized diagnostics in ophthalmology. Traditionally, OCT requires an operator and patient cooperation to compensate refraction error as well as align the scanner with the subject’s eye. We have developed a robot-mounted OCT scanner that automatically focuses and aligns with the subjects’ eye by compensating motion, gaze, and refraction error. The system utilizes a combination of face and pupil tracking cameras to align while focusing through digital control of a tunable lens. We demonstrate our system by self-aligning with human eyes subject to physiological motion and gaze change as well as correcting defocus of a phantom eye.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pablo Ortiz, Mark Draelos, Ryan P. McNabb, Amit M. Narawane, Christian Viehland, Anthony N. Kuo, and Joseph A. Izatt "Autoaligning and autofocusing robotic optical coherence tomography of the retina for subject motion, gaze, and defocus compensation", Proc. SPIE 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, 116300H (5 March 2021); https://doi.org/10.1117/12.2583789
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KEYWORDS
Optical coherence tomography

Retina

Robotics

Scanners

Eye

Image processing

Mirrors

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