Efficient 3D cell tracking using adaptive scanning OCT

Yuan Tian; Mark Draelos M.D.; Ryan P. McNabb; Al-Hafeez Dhalla; Anthony N. Kuo M.D.; Joseph A. Izatt

doi:10.1117/12.2652677

9 March 2023 Efficient 3D cell tracking using adaptive scanning OCT

Yuan Tian, Mark Draelos M.D., Ryan P. McNabb, Al-Hafeez Dhalla, Anthony N. Kuo M.D., Joseph A. Izatt

Proceedings Volume PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII; PC123670L (2023) https://doi.org/10.1117/12.2652677
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Optical coherence tomography (OCT) has wide application in medicine, particularly ophthalmology. In the anterior chamber of the eye, OCT can potentially image blood cells to monitor cellular response to injury or inflammation. However, low volumetric refresh rates limit OCT in applications that require the tracking of individual, moving cells. Therefore, we propose an efficient 3D cell tracking using adaptive scanning OCT. Adaptive scanning prioritizes capturing regions of interest that change from volume to volume. Using depth information from OCT A-scans, our cell tracking method successfully localized simulated cells across multiple OCT volumes.

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Citation Download Citation

Yuan Tian, Mark Draelos M.D., Ryan P. McNabb, Al-Hafeez Dhalla, Anthony N. Kuo M.D., and Joseph A. Izatt "Efficient 3D cell tracking using adaptive scanning OCT", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC123670L (9 March 2023); https://doi.org/10.1117/12.2652677

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KEYWORDS

Optical coherence tomography

Detection and tracking algorithms

Algorithm development

Computer simulations

Eye

Inflammation

Injuries

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