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Sub2Full: split spectrum to boost optical coherence tomography despeckling without clean data

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Abstract

Optical coherence tomography (OCT) suffers from speckle noise, causing the deterioration of image quality, especially in high-resolution modalities such as visible light OCT (vis-OCT). Here, we proposed an innovative self-supervised strategy called Sub2Full (S2F) for OCT despeckling without clean data. This approach works by acquiring two repeated B-scans, splitting the spectrum of the first repeat as a low-resolution input, and utilizing the full spectrum of the second repeat as the high-resolution target. The proposed method was validated on vis-OCT retinal images visualizing sublaminar structures in the outer retina and demonstrated superior performance over state-of-the-art Noise2Noise (N2N) and Noise2Void (N2V) schemes.

© 2024 Optica Publishing Group

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Data availability

Data presented in this paper can be found in [22].

22. L. Wang, J. A. Sahel, and S. Pi, “Sub2Full: split spectrum to boost OCT despeckling without clean data,” GitHub (2024) https://github.com/PittOCT/Sub2Full-OCT-Denoising.

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