Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes

Pablo Ortiz; Amit Narawane; Ryan P. McNabb; Anthony N. Kuo M.D.; Joseph A. Izatt; Mark Draelos M.D.

doi:10.1117/12.2652996

9 March 2023 Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes

Pablo Ortiz, Amit Narawane, Ryan P. McNabb, Anthony N. Kuo M.D., Joseph A. Izatt, Mark Draelos M.D.

Author Affiliations +

Proceedings Volume PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII; PC123670D (2023) https://doi.org/10.1117/12.2652996
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Optical coherence tomography (OCT) revolutionized diagnostics in ophthalmology. Traditional OCT assumes static subjects and produces artifacts during motion. Robotically-aligned OCT mitigates these artifacts via hardware motion compensation. However, hardware imperfections result in residual motion error. Here we present a digital motion correction approach where we utilize synchronized sensing of the pupil and scanner components to measure the state of the imaging process over time. We subsequently map each A-scan to its corresponding location in the volume given sensor data during its acquisition. We demonstrate our correction in human imaging and observed 68% reduction in maximum residual axial error.

Conference Presentation

Citation Download Citation

Pablo Ortiz, Amit Narawane, Ryan P. McNabb, Anthony N. Kuo M.D., Joseph A. Izatt, and Mark Draelos M.D. "Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670D (9 March 2023); https://doi.org/10.1117/12.2652996

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