Multi-instrument-tracking for video-rate 4D ex vivo imaging of ophthalmic surgical maneuvers

Eric M. Tang; Mohamed T. El-Haddad; Shriji N. Patel; Yuankai K. Tao

doi:10.1117/12.2648445

17 March 2023 Multi-instrument-tracking for video-rate 4D ex vivo imaging of ophthalmic surgical maneuvers

Eric M. Tang, Mohamed T. El-Haddad, Shriji N. Patel, Yuankai K. Tao

Proceedings Volume PC12360, Ophthalmic Technologies XXXIII; PC123600I (2023) https://doi.org/10.1117/12.2648445
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

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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Citation Download Citation

Eric M. Tang, Mohamed T. El-Haddad, Shriji N. Patel, and 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

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KEYWORDS

Optical coherence tomography

Imaging systems

Real time imaging

Reflectometry

Coherence (optics)

Convolutional neural networks

Motion estimation

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