Evidence map›Paper›PMID 37997603›Full record

ArticleIEEE transactions on computational imaging2023

Sound Speed Estimation for Distributed Aberration Correction in Laterally Varying Media.

Rehman Ali, Trevor M Mitcham, Melanie Singh, Marvin M Doyley, Richard R Bouchard, Jeremy J Dahl, Nebojsa Duric

Abstract read
In one paragraph

Article in IEEE transactions on computational imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Rehman AliDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Trevor M MitchamDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Melanie SinghDepartment of Biomedical Engineering, University of Rochester, Rochester, NY, USA.
Marvin M DoyleyDepartment of Electrical Engineering, University of Rochester, Rochester, NY, USA.
Richard R BouchardDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jeremy J DahlDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Nebojsa DuricDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA; Department of Electrical Engineering, University of Rochester, Rochester, NY, USA.

Funding

Improving Liver Ultrasound Image Quality in Difficult-to-Image PatientsR01EB027100 · NIBIB · STANFORD UNIVERSITY · PI DAHL, JEREMY · 2020 to 2023
$2.3M
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 EB027100NIBIB NIH HHS R01 EB028652
6 · The paper itself

Abstract

Spatial variation in sound speed causes aberration in medical ultrasound imaging. Although our previous work has examined aberration correction in the presence of a spatially varying sound speed, practical implementations were limited to layered media due to the sound speed estimation process involved. Unfortunately, most models of layered media do not capture the lateral variations in sound speed that have the greatest aberrative effect on the image. Building upon a Fourier split-step migration technique from geophysics, this work introduces an iterative sound speed estimation and distributed aberration correction technique that can model and correct for aberrations resulting from laterally varying media. We first characterize our approach in simulations where the scattering in the media is known a-priori. Phantom and in-vivo experiments further demonstrate the capabilities of the iterative correction technique. As a result of the iterative correction scheme, point target resolution improves by up to a factor of 4 and lesion contrast improves by up to 10.0 dB in the phantom experiments presented.

Indexed as

Aberration CorrectionFourier Split-StepMedical UltrasoundMigration Velocity AnalysisRay Tomography

Identifiers

PMID37997603
PMCPMC10665028

What Socratic holds

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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.