Evidence map›Paper›PMID 29092577›Full record

ArticleThe Journal of the Acoustical Society of America2017

Modified error in constitutive equations (MECE) approach for ultrasound elastography.

Susanta Ghosh, Zilong Zou, Olalekan Babaniyi, Wilkins Aquino, Manuel I Diaz, Mahdi Bayat, Mostafa Fatemi

Abstract read
In one paragraph

Article in The Journal of the Acoustical Society of America, 2017. 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. Correlation-based full-waveform shear wave elastography.Physics in medicine and biology · 2023
    Article
  3. Article
  4. 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

7 authors.

Susanta GhoshDepartment of Civil and Environmental Engineering, Duke University, Durham, North Carolina 27708, USA.
Zilong ZouDepartment of Civil and Environmental Engineering, Duke University, Durham, North Carolina 27708, USA.
Olalekan BabaniyiDepartment of Civil and Environmental Engineering, Duke University, Durham, North Carolina 27708, USA.
Wilkins AquinoDepartment of Civil and Environmental Engineering, Duke University, Durham, North Carolina 27708, USA.
Manuel I DiazDepartment of Civil and Environmental Engineering, Duke University, Durham, North Carolina 27708, USA.
Mahdi BayatDepartment of Physiology and Biomedical Engineering, Mayo College of Medicine, Rochester, Minnesota 55902, USA.
Mostafa FatemiDepartment of Physiology and Biomedical Engineering, Mayo College of Medicine, Rochester, Minnesota 55902, USA.

Funding

Generalized waveform methods for breast viscoelasticity mappingR01CA174723 · NCI · MAYO CLINIC ROCHESTER · PI FATEMI, MOSTAFA · 2014 to 2018
$1.8M
NCI NIH HHS R01 CA174723
6 · The paper itself

Abstract

A partial differential equation-constrained optimization approach is presented for reconstructing mechanical properties (e.g., elastic moduli). The proposed method is based on the minimization of an error in constitutive equations functional augmented with a least squares data misfit term referred to as MECE for "modified error in constitutive equations." The main theme of this paper is to demonstrate several key strengths of the proposed method on experimental data. In addition, some illustrative examples are provided where the proposed method is compared with a common shear wave elastography (SWE) approach. To this end, both synthetic data, generated with transient finite element simulations, as well as ultrasonically tracked displacement data from an acoustic radiation force (ARF) experiment are used in a standard elasticity phantom. The results indicate that the MECE approach can produce accurate shear modulus reconstructions with significantly less bias than SWE.

Indexed as

Models, TheoreticalUltrasonic WavesComputer SimulationElasticity Imaging TechniquesElastic ModulusFinite Element AnalysisImage Interpretation, Computer-AssistedLeast-Squares AnalysisMotionPhantoms, ImagingReproducibility of Results

Identifiers

PMID29092577
PMCPMC5643161

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Registered trials

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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.