Evidence map›Paper›PMID 29505409›Full record

ArticleIEEE transactions on ultrasonics, ferroelectrics, and frequency control2018

Robust Phase Velocity Dispersion Estimation of Viscoelastic Materials Used for Medical Applications Based on the Multiple Signal Classification Method.

Piotr Kijanka, Bo Qiang, Pengfei Song, Carolina Amador Carrascal, Shigao Chen, Matthew W Urban

Abstract read
In one paragraph

Article in IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  13. Local Phase Velocity Based Imaging of Viscoelastic Phantoms and Tissues.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2021
    Article
  14. Article
  15. Article
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  17. Two-Point Frequency Shift Method for Shear Wave Attenuation Measurement.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    Article
  18. Article
  19. 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

6 authors.

Piotr Kijanka
Bo Qiang
Pengfei Song
Carolina Amador Carrascal
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 HHSN268201500021CNIDDK NIH HHS R01 DK092255NIDDK NIH HHS R01 DK106957
6 · The paper itself

Abstract

Ultrasound shear wave elastography (SWE) is emerging as a promising imaging modality for the noninvasive evaluation of tissue mechanical properties. One of the ways to explore the viscoelasticity is through analyzing the shear wave velocity dispersion curves. To explore the dispersion, it is necessary to estimate the shear wave velocity at each frequency. An increase of the available spectrum to be used for phase velocity estimation is significant for a tissue dispersion analysis in vivo. A number of available methods suffer because the available spectrum that one can work with is limited. We present an alternative method to the classical 2-D Fourier transform (2D-FT) that uses the multiple signal classification (MUSIC) technique to provide robust estimation of the -space and phase velocity dispersion curves. We compared results from the MUSIC method with the 2D-FT technique twofold: by searching for maximum peaks and gradient-based strategy. We tested this method on digital phantom data created using finite-element methods (FEMs) in viscoelastic media as well as on the experimental phantoms used in the Radiological Society of North America Quantitative Imaging Biomarker Alliance effort for the standardization of shear wave velocity in liver fibrosis applications. In addition, we evaluated the algorithm with different levels of added noise for FEMs. The MUSIC algorithm provided dispersion curves estimation with lower errors than the conventional 2D-FT method. The MUSIC method can be used for the robust evaluation of shear wave velocity dispersion curves in viscoelastic media.

Indexed as

Signal Processing, Computer-AssistedAlgorithmsElasticity Imaging TechniquesElastic ModulusHumansImage Interpretation, Computer-AssistedLiver CirrhosisModels, BiologicalPhantoms, ImagingViscosity

Identifiers

PMID29505409
PMCPMC5859563

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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.