Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation

Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation

Saturation artifacts in optical coherence tomography (OCT) occur when received signal exceeds the dynamic range of spectrometer. Saturation artifact shows a streaking pattern and could impact the quality of OCT images, leading to inaccurate medical diagnosis. In this paper, we automatically localize...

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Bibliographic Details
Main Authors: Hongshan Liu, Shengting Cao, Yuye Ling, Yu Gan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Photonics Journal
Subjects:
Inpainting
optical coherence tomography
saturation artifacts
sparse representation
Online Access:https://ieeexplore.ieee.org/document/9345337/
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spelling doaj-7e85688f531b4166b2c6e4390c46485b2021-03-29T18:06:23ZengIEEEIEEE Photonics Journal1943-06552021-01-0113211010.1109/JPHOT.2021.30565749345337Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse RepresentationHongshan Liu0Shengting Cao1Yuye Ling2https://orcid.org/0000-0002-4628-7604Yu Gan3https://orcid.org/0000-0003-3409-3412Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USADepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USAJohn Hopcroft Center for Computer Science, Shanghai Jiao Tong University, Shanghai, ChinaDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, USASaturation artifacts in optical coherence tomography (OCT) occur when received signal exceeds the dynamic range of spectrometer. Saturation artifact shows a streaking pattern and could impact the quality of OCT images, leading to inaccurate medical diagnosis. In this paper, we automatically localize saturation artifacts and propose an artifact correction method via inpainting. We adopt a dictionary-based sparse representation scheme for inpainting. Experimental results demonstrate that, in both case of synthetic artifacts and real artifacts, our method outperforms interpolation method and Euler's elastica method in both qualitative and quantitative results. The generic dictionary offers similar image quality when applied to tissue samples which are excluded from dictionary training. This method may have the potential to be widely used in a variety of OCT images for the localization and inpainting of the saturation artifacts.https://ieeexplore.ieee.org/document/9345337/Inpaintingoptical coherence tomographysaturation artifactssparse representation
collection DOAJ
language English
format Article
sources DOAJ
author Hongshan Liu
Shengting Cao
Yuye Ling
Yu Gan
spellingShingle Hongshan Liu
Shengting Cao
Yuye Ling
Yu Gan
Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
IEEE Photonics Journal
Inpainting
optical coherence tomography
saturation artifacts
sparse representation
author_facet Hongshan Liu
Shengting Cao
Yuye Ling
Yu Gan
author_sort Hongshan Liu
title Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
title_short Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
title_full Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
title_fullStr Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
title_full_unstemmed Inpainting for Saturation Artifacts in Optical Coherence Tomography Using Dictionary-Based Sparse Representation
title_sort inpainting for saturation artifacts in optical coherence tomography using dictionary-based sparse representation
publisher IEEE
series IEEE Photonics Journal
issn 1943-0655
publishDate 2021-01-01
description Saturation artifacts in optical coherence tomography (OCT) occur when received signal exceeds the dynamic range of spectrometer. Saturation artifact shows a streaking pattern and could impact the quality of OCT images, leading to inaccurate medical diagnosis. In this paper, we automatically localize saturation artifacts and propose an artifact correction method via inpainting. We adopt a dictionary-based sparse representation scheme for inpainting. Experimental results demonstrate that, in both case of synthetic artifacts and real artifacts, our method outperforms interpolation method and Euler's elastica method in both qualitative and quantitative results. The generic dictionary offers similar image quality when applied to tissue samples which are excluded from dictionary training. This method may have the potential to be widely used in a variety of OCT images for the localization and inpainting of the saturation artifacts.
topic Inpainting
optical coherence tomography
saturation artifacts
sparse representation
url https://ieeexplore.ieee.org/document/9345337/
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