Advances in OCT resolution enhancement: Deep learning is playing an important role

Zhuoqun Yuan, Di Yang, Yanmei Liang,
Advances in OCT resolution enhancement: Deep learning is playing an important role,
Optics & Laser Technology,
Volume 188,
2025,
112982,
ISSN 0030-3992,
https://doi.org/10.1016/j.optlastec.2025.112982.
(https://www.sciencedirect.com/science/article/pii/S0030399225005730)
Abstract: Optical coherence tomography (OCT) is an optical interferometric imaging technique that provides high-resolution, non-invasive, three-dimensional imaging of biological microstructures. Resolution is one of the critical parameters for OCT systems and higher resolution enables earlier detection of diseases and better structure visualization. Therefore, researchers have been working to improve OCT resolution through advanced hardware setup and software or digital methods. Among these, deep learning-based methods have emerged as a promising approach because of exceptional performance in image reconstruction and super-resolution. This review provides a comprehensive overview of recent advancements in OCT resolution enhancement, with a particular focus on deep learning-based super-resolution techniques. Additionally, we discuss the current challenges and future directions for research, aiming to further advance OCT technology and its clinical applications.
Keywords: Optical coherence tomography; Resolution enhancement; Deep learning