Presentation
13 March 2024 Synthetic data algorithm development for high-speed instrument tracking of OCT imaging during anterior chamber ophthalmic surgeries
Author Affiliations +
Proceedings Volume PC12824, Ophthalmic Technologies XXXIV; PC1282415 (2024) https://doi.org/10.1117/12.2692376
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Real-time volumetric microscope-integrated OCT (MIOCT) visualization of ophthalmic surgeries is limited by the narrow field of view of OCT relative to the movement of the surgical instruments, requiring extensive manual repositioning by a trained operator. We developed a computer vision system for instrument tracking that utilizes a microscope video camera and a deep-learning object detector trained on synthetic data, which consisted of 3D rendered models of surgical instruments alongside an eye model. This system was then tested in a clinical MIOCT platform, providing high fidelity, video-rate (>40 Hz) object tracking of a cataract surgery instrument over a model eye phantom.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Harvey Y. Shi, Pablo Ortiz, Jianwei D. Li, Amit Narawane, Robert Trout, Yuan Tian, Mark Draelos, Ryan P. McNabb, Anthony N. Kuo, and Joseph A. Izatt "Synthetic data algorithm development for high-speed instrument tracking of OCT imaging during anterior chamber ophthalmic surgeries", Proc. SPIE PC12824, Ophthalmic Technologies XXXIV, PC1282415 (13 March 2024); https://doi.org/10.1117/12.2692376
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KEYWORDS
Equipment

Optical coherence tomography

Surgery

Eye models

Algorithm development

Instrument modeling

Vacuum chambers

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