Evidence map›Paper›PMID 37880210›Full record

ArticleNature communications2023

Three-dimensional ultrasound matrix imaging.

Flavien Bureau, Justine Robin, Arthur Le Ber, William Lambert, Mathias Fink, Alexandre Aubry

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
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  5. Deep learning-based high precision 3D ultrasound imaging for large size organ.Medical & biological engineering & computing · 2026
    Article
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  7. Article
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  10. Review
  11. Article
  12. Article
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  15. Article
  16. Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Flavien BureauInstitut Langevin, ESPCI Paris, PSL University, CNRS, 75005, Paris, France.
Justine RobinInstitut Langevin, ESPCI Paris, PSL University, CNRS, 75005, Paris, France.
Arthur Le BerInstitut Langevin, ESPCI Paris, PSL University, CNRS, 75005, Paris, France.ORCID http://orcid.org/0009-0002-9362-8368
William LambertInstitut Langevin, ESPCI Paris, PSL University, CNRS, 75005, Paris, France.ORCID http://orcid.org/0000-0001-7830-4635
Mathias FinkInstitut Langevin, ESPCI Paris, PSL University, CNRS, 75005, Paris, France.ORCID http://orcid.org/0000-0002-8494-7562
Alexandre AubryInstitut Langevin, ESPCI Paris, PSL University, CNRS, 75005, Paris, France. Alexandre.Aubry@espci.fr.ORCID http://orcid.org/0000-0003-3326-3336
Centre National de la Recherche Scientifique · FR

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 819261
6 · The paper itself

Abstract

Matrix imaging paves the way towards a next revolution in wave physics. Based on the response matrix recorded between a set of sensors, it enables an optimized compensation of aberration phenomena and multiple scattering events that usually drastically hinder the focusing process in heterogeneous media. Although it gave rise to spectacular results in optical microscopy or seismic imaging, the success of matrix imaging has been so far relatively limited with ultrasonic waves because wave control is generally only performed with a linear array of transducers. In this paper, we extend ultrasound matrix imaging to a 3D geometry. Switching from a 1D to a 2D probe enables a much sharper estimation of the transmission matrix that links each transducer and each medium voxel. Here, we first present an experimental proof of concept on a tissue-mimicking phantom through ex-vivo tissues and then, show the potential of 3D matrix imaging for transcranial applications.

Identifiers

PMID37880210
PMCPMC10600255
OpenAlexW4387934178

What OpenQuestion 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 OpenQuestion graph.