Learning-based prediction for enhanced real-time axial retinal motion correction in high-resolution full-field OCT retinal imaging

João-Victor Oliveira-Santos; Yao Cai; Maxime Bertrand; Caroline Kulcsar; Pedro Mecê

doi:10.1117/12.3000323

13 March 2024 Learning-based prediction for enhanced real-time axial retinal motion correction in high-resolution full-field OCT retinal imaging

João-Victor Oliveira-Santos, Yao Cai, Maxime Bertrand, Caroline Kulcsar, Pedro Mecê

Author Affiliations +

Proceedings Volume PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; PC128300R (2024) https://doi.org/10.1117/12.3000323
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Time-domain Full-Field OCT (FFOCT) acquires en-face images of a sample in a given depth. One of the biggest challenge to use FFOCT for in-vivo retinal imaging is the presence of retinal axial motion during image acquisition. To address this challenge, we previously proposed to couple a spectral-domain OCT (SD-OCT), where axial motion can be measured and later corrected by moving the FFOCT reference arm accordingly in a control loop fashion. However, due to the inherent temporal delay of the control-loop (typically 2-frame delay and 50Hz loop rate), the achieved precision was only around 10µm rms, against ideal 4µm rms (coherence gate of 8µm). Here, we propose to use learning-based prediction methods to enhance the precision of the axial retinal motion correction in real-time, thus improving the FFOCT robustness for in-vivo retinal imaging.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

João-Victor Oliveira-Santos, Yao Cai, Maxime Bertrand, Caroline Kulcsar, and Pedro Mecê "Learning-based prediction for enhanced real-time axial retinal motion correction in high-resolution full-field OCT retinal imaging", Proc. SPIE PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, PC128300R (13 March 2024); https://doi.org/10.1117/12.3000323

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