Cheong, Haris, Krishna Devalla, Sripad, Chuangsuwanich, Thanadet, Tun, Tin A., Wang, Xiaofei, Aung, Tin, Schmetterer, Leopold, Buist, Martin L., Boote, Craig ORCID: https://orcid.org/0000-0003-0348-6547, Thiéry, Alexandre H. and Girard, Michaël J. A. 2021. OCT-GAN: single step shadow and noise removal from optical coherence tomography images of the human optic nerve head. Biomedical Optics Express 12 (3) , pp. 1482-1498. 10.1364/BOE.412156 |
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Abstract
Speckle noise and retinal shadows within OCT B-scans occlude important edges, fine textures and deep tissues, preventing accurate and robust diagnosis by algorithms and clinicians. We developed a single process that successfully removed both noise and retinal shadows from unseen single-frame B-scans within 10.4ms. Mean average gradient magnitude (AGM) for the proposed algorithm was 57.2% higher than current state-of-the-art, while mean peak signal to noise ratio (PSNR), contrast to noise ratio (CNR), and structural similarity index metric (SSIM) increased by 11.1%, 154% and 187% respectively compared to single-frame B-scans. Mean intralayer contrast (ILC) improvement for the retinal nerve fiber layer (RNFL), photoreceptor layer (PR) and retinal pigment epithelium (RPE) layers decreased from 0.362 ± 0.133 to 0.142 ± 0.102, 0.449 ± 0.116 to 0.0904 ± 0.0769, 0.381 ± 0.100 to 0.0590 ± 0.0451 respectively. The proposed algorithm reduces the necessity for long image acquisition times, minimizes expensive hardware requirements and reduces motion artifacts in OCT images.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Optometry and Vision Sciences |
Publisher: | Optical Society of America |
ISSN: | 2156-7085 |
Date of First Compliant Deposit: | 2 March 2021 |
Date of Acceptance: | 15 January 2021 |
Last Modified: | 25 Nov 2024 20:46 |
URI: | https://orca.cardiff.ac.uk/id/eprint/139022 |
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