Evidence map›Paper›PMID 33868919›Full record

ArticlePhotoacoustics2021

Photoacoustic flow velocity imaging based on complex field decorrelation.

Reza Pakdaman Zangabad, Sophinese Iskander-Rizk, Pim van der Meulen, Bram Meijlink, Klazina Kooiman, Tianshi Wang, Antonius F W van der Steen, Gijs van Soest

Open access · goldAbstract read
In one paragraph

Article in Photoacoustics, 2021. 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
0.9field-weighted citation impact, top 29% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Advances in Photoacoustic Imaging of Breast Cancer.Sensors (Basel, Switzerland) · 2025
    Review
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  6. Article
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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 at 2 institutions in 2 countries.

Reza Pakdaman ZangabadBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Sophinese Iskander-RizkBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Pim van der MeulenDepartment of Microelectronics, Delft University of Technology, Delft, The Netherlands.
Bram MeijlinkBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Klazina KooimanBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Tianshi WangBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Antonius F W van der SteenBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Gijs van SoestBiomedical Engineering, Department of Cardiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Erasmus MC · NLDelft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic (PA) imaging can be used to monitor flowing blood inside the microvascular and capillary bed. Ultrasound speckle decorrelation based velocimetry imaging was previously shown to accurately estimate blood flow velocity in mouse brain (micro-)vasculature. Translating this method to photoacoustic imaging will allow simultaneous imaging of flow velocity and extracting functional parameters like blood oxygenation. In this study, we use a pulsed laser diode and a quantitative method based on normalized first order field autocorrelation function of PA field fluctuations to estimate flow velocities in an ink tube phantom and in the microvasculature of the chorioallantoic membrane of a chicken embryo. We demonstrate how the decorrelation time of signals acquired over frames are related to the flow speed and show that the PA flow analysis based on this approach is an angle independent flow velocity imaging method.

Indexed as

Functional imagingPhotoacoustic flow velocity imagingPulsed Diode LaserSpeckle dynamics

Identifiers

PMID33868919
PMCPMC8040274
OpenAlexW3135902309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.