Robust and automated dispersion compensation for FD-OCT using fractional Fourier transform

Yufan Li; Yuye Ling; Jianing Mao; Yikai Su

doi:10.1117/12.2688690

12 March 2024 Robust and automated dispersion compensation for FD-OCT using fractional Fourier transform

Yufan Li, Yuye Ling, Jianing Mao, Yikai Su

Proceedings Volume 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; 1283005 (2024) https://doi.org/10.1117/12.2688690
Event: SPIE BiOS, 2024, San Francisco, California, United States

Conference Poster

Abstract

Dispersion compensation is an important topic in optical coherence tomography (OCT) since the system- and sample-induced dispersion can often blur the image and degrade the axial resolution. Common numerical compensation methods rely on manual selection of the parameters and there is no universally accepted standard to determine the dispersion-free state. In this work, we propose a method that can automatically compensate the dispersion using fractional Fourier transform (FrFT) and provide a new insight on defining the sharpness metric. We exploit the sparsity of the image in the FrFT domain and thus find the optimal order of FrFT by minimizing the corresponding L1-norm. The effectiveness and robustness of the proposed method is confirmed in both numerical simulation and human skin and retina experiments.

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

Citation Download Citation

Yufan Li, Yuye Ling, Jianing Mao, and Yikai Su "Robust and automated dispersion compensation for FD-OCT using fractional Fourier transform", Proc. SPIE 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, 1283005 (12 March 2024); https://doi.org/10.1117/12.2688690

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