Evidence map›Paper›PMID 28663901›Full record

ArticleBiomedical optics express2017

Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography.

Farzana Zaki, Yahui Wang, Hao Su, Xin Yuan, Xuan Liu

Abstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  8. State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022
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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

5 authors.

Farzana ZakiDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 079102, USA.
Yahui WangDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 079102, USA.
Hao SuSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Xin YuanBell Labs, Nokia, 600 Mountain Avenue, Murray Hill, NJ 07974, USA.
Xuan LiuDepartment of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 079102, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) is based on coherence detection of interferometric signals and hence inevitably suffers from speckle noise. To remove speckle noise in OCT images, wavelet domain thresholding has demonstrated significant advantages in suppressing noise magnitude while preserving image sharpness. However, speckle noise in OCT images has different characteristics in different spatial scales, which has not been considered in previous applications of wavelet domain thresholding. In this study, we demonstrate a noise adaptive wavelet thresholding (NAWT) algorithm that exploits the difference of noise characteristics in different wavelet sub-bands. The algorithm is simple, fast, effective and is closely related to the physical origin of speckle noise in OCT image. Our results demonstrate that NAWT outperforms conventional wavelet thresholding.

Indexed as

(030.6140) Speckle(100.3020) Image reconstruction-restoration(110.4280) Noise in imaging systems(110.4500) Optical coherence tomography

Identifiers

PMID28663901
PMCPMC5480508

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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.