Evidence map›Paper›PMID 26276953›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2015

A multiresolution approach to shear wave image reconstruction.

Peter Hollender, Nick Bottenus, Gregg Trahey

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evaluation of Reconstruction Parameters for 2-D Comb-Push Ultrasound Shear Wave Elastography.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2019
    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

3 authors.

Peter Hollender
Nick Bottenus
Gregg Trahey

Funding

Acoustic Radiation Force Impulse (ARFI) Imaging of Cardiac TissueR37HL096023 · NHLBI · DUKE UNIVERSITY · PI TRAHEY, GREGG E. · 2009 to 2018
$5.2M
Training in Medical ImagingT32EB001040 · NIBIB · DUKE UNIVERSITY · PI NIGHTINGALE, KATHRYN RADABAUGH · 2003 to 2018
$4.4M
Clinical Evaluation of an Ultrasound Based Imaging System for Guiding Cardiac AblR01EB012484 · NIBIB · DUKE UNIVERSITY · PI WOLF, PATRICK D · 2010 to 2013
$3.5M
NHLBI NIH HHS R37 HL096023NHLBI NIH HHS R37HL096023NIBIB NIH HHS R01EB01248NIBIB NIH HHS R01 EB012484NIBIB NIH HHS T32 EB001040NIBIB NIH HHS T32EB001040
6 · The paper itself

Abstract

Shear wave imaging techniques build maps of local elasticity estimating the local group velocity of induced mechanical waves. Velocity estimates are formed using the time delay in the motion profile of the medium at two or more points offset from the shear wave source. Because the absolute time-of-flight between any pair of locations scales with the distance between them, there is an inherent trade-off between robustness to time-of-flight errors and lateral spatial resolution based on the number and spacing of the receive points used for each estimate. This work proposes a method of using the time delays measured between all combinations of locations to estimate a noise-robust, high-resolution image. The time-of-flight problem is presented as an overdetermined system of linear equations that can be directly solved with and without spatial regularization terms. Finite element method simulations of acoustic radiation force-induced shear waves are used to illustrate the method, demonstrating superior contrast-to-noise ratio and lateral edge resolution characteristics compared with linear regression of arrival times. This technique may improve shear wave imaging in situations where time-of-flight noise is a limiting factor.

Indexed as

AlgorithmsComputer SimulationElasticity Imaging TechniquesFinite Element AnalysisImage Processing, Computer-AssistedPhantoms, ImagingSignal Processing, Computer-Assisted

Identifiers

PMID26276953
PMCPMC4553950

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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.