Evidence map›Paper›PMID 39687629›Full record

ArticlePhotoacoustics2024

Vector-flow imaging of slowly moving

Caitlin Smith, Jami Shepherd, Guillaume Renaud, Kasper van Wijk

Abstract read
In one paragraph

Article in Photoacoustics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Caitlin SmithDepartment of Physics, University of Auckland, Private Bag 92019, Auckland, 1010, New Zealand.
Jami ShepherdDepartment of Physics, University of Auckland, Private Bag 92019, Auckland, 1010, New Zealand.
Guillaume RenaudDepartment of Imaging Physics, Delft University of Technology, Delft, 2628 CN, The Netherlands.
Kasper van WijkDepartment of Physics, University of Auckland, Private Bag 92019, Auckland, 1010, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a technique called photoacoustic vector-flow (PAVF) to quantify the speed and direction of flowing optical absorbers at each pixel from acoustic-resolution PA images. By varying the receiving angle at each pixel in post-processing, we obtain multiple estimates of the phase difference between consecutive frames. These are used to solve the overdetermined photoacoustic Doppler equation with a least-squares approach to estimate a velocity vector at each pixel. This technique is tested in bench-top experiments and compared to simultaneous pulse-echo ultrasound vector-flow (USVF) on whole rat blood at speeds on the order of 1 mm/s. Unlike USVF, PAVF can detect flow without stationary clutter filtering in this experiment, although the velocity estimates are highly underestimated. When applying spatio-temporal singular value decomposition clutter filtering, the flow speed can be accurately estimated with an error of 16.8% for USVF and

Indexed as

Blood flowFlowmetryHemodynamicsPerfusionPhotoacoustic vector-flowUltrasound vector-flowVector-flow imagingVelocimetry

Identifiers

PMID39687629
PMCPMC11649157

What Socratic holds

Textmetadata
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 Socratic graph.