Evidence map›Paper›PMID 40881718›Full record

ArticleIEEE open journal of ultrasonics, ferroelectrics, and frequency control2025

3D Frequency-Domain Full Waveform Inversion for Whole-Breast Imaging With a Multi-Row Ring Array.

Rehman Ali, Gaofei Jin, Melanie Singh, Trevor Mitcham, Nebojsa Duric

Abstract read
In one paragraph

Article in IEEE open journal of ultrasonics, ferroelectrics, and frequency control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Rehman AliDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 USA.ORCID 0000-0003-2168-7895
Gaofei JinDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627 USA.ORCID 0000-0002-3635-1887
Melanie SinghDepartment of Biomedical Engineering, University of Rochester, Rochester, NY 14627 USA.
Trevor MitchamDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 USA.ORCID 0000-0001-6985-5486
Nebojsa DuricDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY 14642 USA.ORCID 0000-0001-6388-6863

Funding

University of Rochester Wilmot Cancer Institute Support GrantP30CA272302 · NCI · UNIVERSITY OF ROCHESTER · PI John Ashton · 2025 to 2026
$6.4M
Advanced image reconstruction for accurate and high-resolution breast ultrasound tomographyR01EB028652 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ANASTASIO, MARK A, DURIC, NEBOJSA · 2019 to 2022
$2.2M
Multiparametric Tissue Characterization for Breast Cancer Screening Using Transmission and Reflection Ultrasound TomographyF32EB034589 · NIBIB · UNIVERSITY OF ROCHESTER · PI ALI, REHMAN · 2023 to 2024
$143k
NCI NIH HHS P30 CA272302NIBIB NIH HHS F32 EB034589NIBIB NIH HHS R01 EB028652
6 · The paper itself

Abstract

For ring-array ultrasound tomography, two-dimensional frequency-domain full waveform inversion is the clinical gold standard for high-resolution imaging of the breast. While yielding high-resolution images in the plane of the ring-array, the resulting slice-wise approach yields lower resolution out of plane when used to reconstruct the full volume. Instead, this work proposes a fully three-dimensional full-waveform inversion based on a multi-row ring-array transducer to improve out-of-plane resolution, while using cylindrical-wave transmissions to minimize acquisition and reconstruction time. For each numerical breast phantom tested, the root-mean-square error of three-dimensional full-waveform inversion is less than that of two-dimensional slice-wise full-waveform inversion by 6.3-13.7 m/s.

Indexed as

3D imagingcylindrical wavesfull waveform inversionUltrasound tomography

Identifiers

PMID40881718
PMCPMC12381738

What OpenQuestion holds

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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.