Evidence map›Paper›PMID 36849295›Full record

ReviewZeitschrift fur medizinische Physik2023

Aberration correction in diagnostic ultrasound: A review of the prior field and current directions.

Rehman Ali, Thurston Brevett, Louise Zhuang, Hanna Bendjador, Anthony S Podkowa, Scott S Hsieh, Walter Simson, Sergio J Sanabria, Carl D Herickhoff, Jeremy J Dahl

Abstract readReview
In one paragraph

Review in Zeitschrift fur medizinische Physik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Spatial Ambiguity Correction in Coherence-Based Average Sound Speed Estimation.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  12. Clinical, Safety, and Engineering Perspectives on Wearable Ultrasound Technology: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  13. Article
  14. Article
  15. Review of Deep Learning Approaches for Interleaved Photoacoustic and Ultrasound (PAUS) Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2023
    Article
  16. 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

10 authors.

Rehman AliDepartment of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.
Thurston BrevettDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Louise ZhuangDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Hanna BendjadorDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Anthony S PodkowaDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Scott S HsiehDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Walter SimsonDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
Sergio J SanabriaDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA; University of Deusto/ Ikerbasque Basque Foundation for Science, Bilbao, Spain.
Carl D HerickhoffDepartment of Biomedical Engineering, University of Memphis, TN, USA.
Jeremy J DahlDepartment of Radiology, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: jeremy.dahl@stanford.edu.

Funding

Improving Liver Ultrasound Image Quality in Difficult-to-Image PatientsR01EB027100 · NIBIB · STANFORD UNIVERSITY · PI DAHL, JEREMY · 2020 to 2023
$2.3M
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 EB027100
6 · The paper itself

Abstract

Medical ultrasound images are reconstructed with simplifying assumptions on wave propagation, with one of the most prominent assumptions being that the imaging medium is composed of a constant sound speed. When the assumption of a constant sound speed are violated, which is true in most in vivoor clinical imaging scenarios, distortion of the transmitted and received ultrasound wavefronts appear and degrade the image quality. This distortion is known as aberration, and the techniques used to correct for the distortion are known as aberration correction techniques. Several models have been proposed to understand and correct for aberration. In this review paper, aberration and aberration correction are explored from the early models and correction techniques, including the near-field phase screen model and its associated correction techniques such as nearest-neighbor cross-correlation, to more recent models and correction techniques that incorporate spatially varying aberration and diffractive effects, such as models and techniques that rely on the estimation of the sound speed distribution in the imaging medium. In addition to historical models, future directions of ultrasound aberration correction are proposed.

Indexed as

AlgorithmsPhantoms, ImagingUltrasonographyAberrationAberration correctionBeamformingPhase aberrationSpeed of soundUltrasound

Identifiers

PMID36849295
PMCPMC10517407

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.