Evidence map›Paper›PMID 31353839›Full record

ArticleJournal of biophotonics2019

Enhanced contrast acoustic-resolution photoacoustic microscopy using double-stage delay-multiply-and-sum beamformer for vasculature imaging.

Moein Mozaffarzadeh, Mehdi H H Varnosfaderani, Arunima Sharma, Manojit Pramanik, Nico de Jong, Martin D Verweij

Open access · hybridAbstract read
In one paragraph

Article in Journal of biophotonics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  7. Photoacoustic imaging aided with deep learning: a review.Biomedical engineering letters · 2022
    Review
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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

6 authors at 4 institutions in 3 countries.

Moein MozaffarzadehDepartment of Imaging Physics, Laboratory of Acoustical Wavefield Imaging, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0003-0374-9351
Mehdi H H VarnosfaderaniDepartment of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran.
Arunima SharmaSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore.
Manojit PramanikSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore.ORCID 0000-0003-2865-5714
Nico de JongDepartment of Imaging Physics, Laboratory of Acoustical Wavefield Imaging, Delft University of Technology, Delft, The Netherlands.
Martin D VerweijDepartment of Imaging Physics, Laboratory of Acoustical Wavefield Imaging, Delft University of Technology, Delft, The Netherlands.
Erasmus MC · NLNanyang Technological University · SGDelft University of Technology · NLTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acoustic-resolution photoacoustic microscopy (AR-PAM) systems, the lateral resolution in the focal zone of the ultrasound (US) transducer is determined by the numerical aperture (NA) of the transducer. To have a high lateral resolution, a large NA is used. However, the larger the NA, the smaller the depth of focus [DOF]. As a result, the lateral resolution is deteriorated at depths out of the focal region. The synthetic aperture focusing technique (SAFT) along with a beamformer can be used to improve the resolution outside the focal region. In this work, for image formation in AR-PAM, we propose the double-stage delay-multiply-and-sum (DS_DMAS) algorithm to be combined with SAFT. The proposed method is evaluated experimentally using hair targets and in vivo vasculature imaging. It is shown that DS_DMAS provides a higher resolution and contrast compared to other methods. For the B-mode images obtained using the hair phantom, the proposed method reduces the average noise level for all the depths by about 134%, 57% and 23%, compared to the original low- resolution, SAFT+DAS and SAFT+DMAS methods, respectively. All the results indicate that the proposed method can be an appropriate algorithm for image formation in AR-PAM systems.

Indexed as

AcousticsNeovascularization, PhysiologicSignal-To-Noise RatioAnimalsFemaleImage Processing, Computer-AssistedMicroscopyPhotoacoustic TechniquesRats, Sprague-Dawleyacoustic-resolution photoacoustic microscopycontrast enhancementsynthetic aperture focusing techniquevasculature imagingvirtual source

Identifiers

PMID31353839
PMCPMC7065614
OpenAlexW2965800770

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.