Evidence map›Paper›PMID 32024946›Full record

ArticleScientific reports2020

Angular compounding for speckle reduction in optical coherence tomography using geometric image registration algorithm and digital focusing.

Jingjing Zhao, Yonatan Winetraub, Edwin Yuan, Warren H Chan, Sumaira Z Aasi, Kavita Y Sarin, Orr Zohar, Adam de la Zerda

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

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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

8 authors.

Jingjing ZhaoDepartment of Structural Biology, Stanford University School of Medicine, Stanford, California, 94305, USA.
Yonatan WinetraubDepartment of Structural Biology, Stanford University School of Medicine, Stanford, California, 94305, USA.
Edwin YuanDepartment of Applied Physics, Stanford University, Stanford, California, 94305, USA.
Warren H ChanDepartment of Dermatology, Stanford University School of Medicine, Stanford, California, 94305, USA.
Sumaira Z AasiDepartment of Dermatology, Stanford University School of Medicine, Stanford, California, 94305, USA.
Kavita Y SarinDepartment of Dermatology, Stanford University School of Medicine, Stanford, California, 94305, USA.ORCID http://orcid.org/0000-0001-5363-3053
Orr ZoharDepartment of Structural Biology, Stanford University School of Medicine, Stanford, California, 94305, USA.
Adam de la ZerdaDepartment of Structural Biology, Stanford University School of Medicine, Stanford, California, 94305, USA. adlz@stanford.edu.

Funding

Pilot ProjectsU54CA151459 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2010 to 2014
$12.6M
Molecular Biophysics Training Program at StanfordT32GM008294 · NIGMS · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 1989 to 2019
$7.4M
NCI NIH HHS U54 CA151459NIGMS NIH HHS T32 GM008294
6 · The paper itself

Abstract

Optical coherence tomography (OCT) suffers from speckle noise due to the high spatial coherence of the utilized light source, leading to significant reductions in image quality and diagnostic capabilities. In the past, angular compounding techniques have been applied to suppress speckle noise. However, existing image registration methods usually guarantee pure angular compounding only within a relatively small field of view in the focal region, but produce spatial averaging in the other regions, resulting in resolution loss and image blur. This work develops an image registration model to correctly localize the real-space location of every pixel in an OCT image, for all depths. The registered images captured at different angles are fused into a speckle-reduced composite image. Digital focusing, based on the convolution of the complex OCT images and the conjugate of the point spread function (PSF), is studied to further enhance lateral resolution and contrast. As demonstrated by experiments, angular compounding with our improved image registration techniques and digital focusing, can effectively suppress speckle noise, enhance resolution and contrast, and reveal fine structures in ex-vivo imaged tissue.

Identifiers

PMID32024946
PMCPMC7002526

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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.