Evidence map›Paper›PMID 37256942›Full record

ArticleScience advances2023

Fast volumetric ultrasound facilitates high-resolution 3D mapping of tissue compartments.

Eun-Yeong Park, Xiran Cai, Josquin Foiret, Hanna Bendjador, Dongwoon Hyun, Brett Z Fite, Robert Wodnicki, Jeremy J Dahl, Robert D Boutin, Katherine W Ferrara

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. 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
3.9field-weighted citation impact, top 6% 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, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Whole cross-sectional human ultrasound tomography.Nature biomedical engineering · 2026
    Article
  4. MUSiK: An Open Source Simulation Library for 3D Multi-View Ultrasound.IEEE transactions on bio-medical engineering · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

10 authors at 2 institutions in 1 country.

Eun-Yeong ParkDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-8643-3274
Xiran CaiDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-9194-7114
Josquin FoiretDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-7946-8161
Hanna BendjadorDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-2308-5348
Dongwoon HyunDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-2625-8109
Brett Z FiteDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-8068-2042
Robert WodnickiDepartment of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0002-3853-4433
Jeremy J DahlDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-9877-452X
Robert D BoutinDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-7887-9658
Katherine W FerraraDepartment of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-4976-9107
Stanford University · USUniversity of Southern California · US

Funding

Specific and high-resolution ultrasound cancer imagingR01CA112356 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI FERRARA, KATHERINE W, FOIRET, JOSQUIN · 2005 to 2022
$6.1M
Large aperture and wideband modular ultrasound arrays for the diagnosis of liver cancerR01CA211602 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FERRARA, KATHERINE W, TRAHEY, GREGG E. · 2017 to 2021
$3.3M
Quantitative volumetric ultrasonic and photoacoustic tomographyR01CA258807 · NCI · STANFORD UNIVERSITY · PI Katherine W Ferrara, Steven Poplack · 2022 to 2026
$3.2M
High Resolution Ultrasound in Interventional RadiologyR01CA271309 · NCI · STANFORD UNIVERSITY · PI Katherine W Ferrara, Qifa Zhou · 2022 to 2026
$3.1M
Pediatric volumetric ultrasound scannerR01EB033967 · NIBIB · STANFORD UNIVERSITY · PI Katherine W Ferrara, Shreyas S Vasanawala · 2023 to 2026
$1.9M
NCI NIH HHS R01 CA112356NCI NIH HHS R01 CA211602NCI NIH HHS R01 CA258807NCI NIH HHS R01 CA271309NIBIB NIH HHS R01 EB033967
6 · The paper itself

Abstract

Volumetric ultrasound imaging has the potential for operator-independent acquisition and enhanced field of view. Panoramic acquisition has many applications across ultrasound; spanning musculoskeletal, liver, breast, and pediatric imaging; and image-guided therapy. Challenges in high-resolution human imaging, such as subtle motion and the presence of bone or gas, have limited such acquisition. These issues can be addressed with a large transducer aperture and fast acquisition and processing. Programmable, ultrafast ultrasound scanners with a high channel count provide an unprecedented opportunity to optimize volumetric acquisition. In this work, we implement nonlinear processing and develop distributed beamformation to achieve fast acquisition over a 47-centimeter aperture. As a result, we achieve a 50-micrometer -6-decibel point spread function at 5 megahertz and resolve in-plane targets. A large volume scan of a human limb is completed in a few seconds, and in a 2-millimeter dorsal vein, the image intensity difference between the vessel center and surrounding tissue was ~50 decibels, facilitating three-dimensional reconstruction of the vasculature.

Indexed as

BreastLiverChildDiffusion Magnetic Resonance ImagingHumansImaging, Three-DimensionalMotionUltrasonography

Identifiers

PMID37256942
PMCPMC10413648
OpenAlexW4378894929

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.