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Intraoperative OCT (iOCT) has been shown to help guide ophthalmic surgical management by allowing for verification of the completion of surgical objectives. However, iOCT systems are limited by static OCT fields-of-view (FOVs) that require manual alignment to surgical regions-of-interest, preventing real-time volumetric imaging of surgical maneuvers. Here, we demonstrate an automated instrument-tracking method that leverages multimodal ophthalmic imaging and deep-learning-based object detection for localization of multiple surgical instruments within the OCT FOV. We present video-rate 4D imaging of mock surgical maneuvers in ex vivo porcine eyes at 16 volumes/second, which can be used to provide real-time feedback on instrument-tissue dynamics.
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Eric M. Tang, Mohamed T. El-Haddad, Shriji N. Patel, Yuankai K. Tao, "Multi-instrument-tracking for video-rate 4D ex vivo imaging of ophthalmic surgical maneuvers," Proc. SPIE PC12360, Ophthalmic Technologies XXXIII, PC123600I (17 March 2023); https://doi.org/10.1117/12.2648445