Evidence map›Paper›PMID 33927799›Full record

ArticleIEEE photonics journal2021

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

Hongshan Liu, Shengting Cao, Yuye Ling, Yu Gan

Abstract read
In one paragraph

Article in IEEE photonics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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  3. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hongshan LiuDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487 USA.
Shengting CaoDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487 USA.
Yuye LingJohn Hopcroft Center for Computer Science, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-4628-7604
Yu GanDepartment of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL 35487 USA.ORCID 0000-0003-3409-3412

Funding

National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
NCATS NIH HHS UL1 TR003096
6 · The paper itself

Abstract

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.

Indexed as

Inpaintingoptical coherence tomographysaturation artifactssparse representation

Identifiers

PMID33927799
PMCPMC8081289

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.