Evidence map›Paper›PMID 29755937›Full record

ArticlePhotoacoustics2018

Rapid scanning wide-field clutter elimination in epi-optoacoustic imaging using comb LOVIT.

Tigran Petrosyan, Maria Theodorou, Jeff Bamber, Martin Frenz, Michael Jaeger

Abstract read
In one paragraph

Article in Photoacoustics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Suppression of acoustic reflection artifact in endoscopic photoacoustic tomographic images based on approximation of ideal signals.Technology and health care : official journal of the European Society for Engineering and Medicine · 2022
    Article
  4. Review
  5. Article
  6. 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

5 authors.

Tigran PetrosyanInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
Maria TheodorouJoint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
Jeff BamberJoint Department of Physics and CRUK-EPSRC Cancer Imaging Centre, Institute of Cancer Research, and Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
Martin FrenzInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.
Michael JaegerInstitute of Applied Physics, University of Bern, Sidlerstrasse 5, 3012, Bern, Switzerland.

Funding

Cancer Research UK 16464Medical Research Council MC_PC_14100
6 · The paper itself

Abstract

Epi-style optoacoustic (OA) imaging provides flexibility by integrating the irradiation optics and ultrasound receiver, yet clutter generated by optical absorption near the probe obscures deep OA sources. Localised vibration tagging (LOVIT) retrieves OA signal from images that are acquired with and without a preceding ultrasonic pushing beam: Radiation force leads to a phase shift of signals coming from the focal area resulting in their visibility in a difference image, whereas clutter from outside the pushing beam is eliminated. Disadvantages of a single-focus approach are residual clutter from inside the pushing beam above the focus, and time-intensive scanning of the focus to retrieve a large field-of-view. To speed up acquisition, we propose to create multiple foci in parallel, forming comb-shaped ARF patterns. By subtracting OA images obtained with interleaved combs, this technique moreover results in greatly improved clutter reduction in phantoms mimicking optical, acoustic and elastic properties of breast tissue.

Indexed as

HandheldImage contrastImaging depthPhotoacousticRadiation forceShear waveUltrasound

Identifiers

PMID29755937
PMCPMC5945922

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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.