Evidence map›Paper›PMID 38564345›Full record

ArticleIEEE transactions on medical imaging2024

2-D Slicewise Waveform Inversion of Sound Speed and Acoustic Attenuation for Ring Array Ultrasound Tomography Based on a Block LU Solver.

Rehman Ali, Trevor M Mitcham, Thurston Brevett, Oscar Calderon Agudo, Cristina Duran Martinez, Cuiping Li, Marvin M Doyley, Nebojsa Duric

Abstract read
In one paragraph

Article in IEEE transactions on medical imaging, 2024. 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. Article
  4. Article
  5. Article
  6. 3D Frequency-Domain Full Waveform Inversion for Whole-Breast Imaging With a Multi-Row Ring Array.IEEE open journal of ultrasonics, ferroelectrics, and frequency control · 2025
    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

8 authors.

Rehman Ali
Trevor M Mitcham
Thurston Brevett
Oscar Calderon Agudo
Cristina Duran Martinez
Cuiping Li
Marvin M Doyley
Nebojsa Duric

Funding

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
NIBIB NIH HHS F32 EB034589NIBIB NIH HHS R01 EB028652
6 · The paper itself

Abstract

Ultrasound tomography is an emerging imaging modality that uses the transmission of ultrasound through tissue to reconstruct images of its mechanical properties. Initially, ray-based methods were used to reconstruct these images, but their inability to account for diffraction often resulted in poor resolution. Waveform inversion overcame this limitation, providing high-resolution images of the tissue. Most clinical implementations, often directed at breast cancer imaging, currently rely on a frequency-domain waveform inversion to reduce computation time. For ring arrays, ray tomography was long considered a necessary step prior to waveform inversion in order to avoid cycle skipping. However, in this paper, we demonstrate that frequency-domain waveform inversion can reliably reconstruct high-resolution images of sound speed and attenuation without relying on ray tomography to provide an initial model. We provide a detailed description of our frequency-domain waveform inversion algorithm with open-source code and data that we make publicly available.

Indexed as

AlgorithmsImage Processing, Computer-AssistedPhantoms, ImagingUltrasonographyHumansTomography

Identifiers

PMID38564345
PMCPMC11294001

What Socratic holds

Textmetadata
LicenceTDM
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.