Evidence map›Paper›PMID 28026760›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2017

Guidelines for Finite-Element Modeling of Acoustic Radiation Force-Induced Shear Wave Propagation in Tissue-Mimicking Media.

Mark L Palmeri, Bo Qiang, Shigao Chen, Matthew W Urban

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Quantitative Viscoelastic Response (QVisR): Direct Estimation of Viscoelasticity With Neural Networks.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Correlation-based full-waveform shear wave elastography.Physics in medicine and biology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Local Phase Velocity Based Imaging of Viscoelastic Phantoms and Tissues.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  18. Radiological Society of North America/Quantitative Imaging Biomarker Alliance Shear Wave Speed Bias Quantification in Elastic and Viscoelastic Phantoms.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2021
    Article
  19. Article
  20. Virtual clinical trials in medical imaging: a review.Journal of medical imaging (Bellingham, Wash.) · 2020
    Review
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

4 authors.

Mark L Palmeri
Bo Qiang
Shigao Chen
Matthew W Urban

Funding

Measurement of Renal Viscoelastic Properties with UltrasoundR01DK092255 · NIDDK · MAYO CLINIC ROCHESTER · PI URBAN, MATTHEW WILLIAM · 2012 to 2022
$5.2M
Ultrasound Elastography for Liver Fibrosis StagingR01DK106957 · NIDDK · MAYO CLINIC ROCHESTER · PI CHEN, SHIGAO, GREENLEAF, JAMES FOWLER · 2015 to 2018
$1.8M
NHLBI NIH HHS HHSN268201500021CNIBIB NIH HHS HHSN268201300071CNIDDK NIH HHS R01 DK092255NIDDK NIH HHS R01 DK106957
6 · The paper itself

Abstract

Ultrasound shear wave elastography is emerging as an important imaging modality for evaluating tissue material properties. In its practice, some systematic biases have been associated with ultrasound frequencies, focal depths and configuration, and transducer types (linear versus curvilinear), along with displacement estimation and shear wave speed estimation algorithms. Added to that, soft tissues are not purely elastic, so shear waves will travel at different speeds depending on their spectral content, which can be modulated by the acoustic radiation force (ARF) excitation focusing, duration, and the frequency-dependent stiffness of the tissue. To understand how these different acquisition and material property parameters may affect the measurements of shear wave velocity, the simulations of the propagation of shear waves generated by ARF excitations in viscoelastic media are a very important tool. This paper serves to provide an in-depth description of how these simulations are performed. The general scheme is broken into three components: 1) simulation of the 3-D ARF push beam; 2) applying that force distribution to a finite-element model; and 3) extraction of the motion data for post-processing. All three components will be described in detail and combined to create a simulation platform that is powerful for developing and testing algorithms for academic and industrial researchers involved in making quantitative shear-wave-based measurements of tissue material properties.

Indexed as

Elasticity Imaging TechniquesFinite Element AnalysisModels, BiologicalHumansPhantoms, Imaging

Identifiers

PMID28026760
PMCPMC5310216

What OpenQuestion 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 OpenQuestion graph.