Work

Robust wavefront correction using AdamW-enhanced SPGD for computational adaptive optics in optical coherence tomography

Year: 2026

Type: article

Abstract: Computational adaptive optics (CAO) has emerged as an effective approach to correct optical aberrations in optical coherence tomography (OCT) without the need for additional hardware. However, conventional stochastic parallel gradient descent (SPGD) algorithms often suffer from slow convergence, instability, and susceptibility to local minima. In this work, we present an AdamW-enhanced SPGD algorithm that integrates adaptive learning rate control with weight decay to accelerate convergence and stabilize optimization. In addition, an eigenvalue-based sharpness metric is introduced to ensure more robust and stable optimization. The proposed approach was validated using both simulations and two distinct swept-source OCT setups, demonstrating its applicability in realistic imaging conditions. Furthermore, our results enabled cellular-level visualization of the photoreceptor layer and retinal nerve fiber layer in retinal imaging. These findings indicate that the proposed method shows a significant advancement over conventional CAO approaches, expanding the potential for clinical translation of CAO across a variety of ophthalmic applications.

Source: Biomedical Optics Express

DOI: 10.1364/boe.592709

Authors: JongIn You, Taeguk Eom, SeungWan Cho, Sunhong Jeong, ByungKun Lee, Wang-Yuhl Oh

Institutions: Korea Advanced Institute of Science and Technology, Seoul National University Bundang Hospital, Daegu Gyeongbuk Institute of Science and Technology

Language: English

Topic: Optical Coherence Tomography Applications

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,913

Funder: National Research Foundation of Korea