Diffuse shear wave spectroscopy for soft tissue viscoelastic characterization.


Journal

Ultrasonics
ISSN: 1874-9968
Titre abrégé: Ultrasonics
Pays: Netherlands
ID NLM: 0050452

Informations de publication

Date de publication:
Feb 2021
Historique:
received: 09 01 2020
revised: 03 08 2020
accepted: 20 08 2020
pubmed: 18 9 2020
medline: 5 1 2021
entrez: 17 9 2020
Statut: ppublish

Résumé

In order to limit and slow the development of diseases, they have to be diagnosed early as possible to treat patients in a better and more rapid manner. In this paper, we focus on a noninvasive and quick method based on diffuse fields in elastography to detect diseases that affect the stiffness of organs. To validate our method, a phantom experiment numerically pre-validated is designed. It consists of seven vibrators that generate white noises in a bandwidth of [80-300] Hz and then a complex acoustic field in a phantom. Waves are tracked by a linear ultrasound probe L11-4v linked to a Verasonics Vantage System and are converted into a particle velocity 2D map as a function of time. The phase velocity of the shear waves is calculated using a temporal and 2D spatial Fourier transform and an adapted signal-processing method. Shear wave velocity dispersion measurement in the frequency bandwidth of the vibrators enables one to characterize the dynamic hardness of the material through the viscoelastic parameters μ and η in an acquisition time shorter than a second (T

Identifiants

pubmed: 32942089
pii: S0041-624X(20)30178-5
doi: 10.1016/j.ultras.2020.106239
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106239

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Auteurs

S Beuve (S)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France. Electronic address: steve.beuve@etu.univ-tours.fr.

L Kritly (L)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.

S Callé (S)

GREMAN UMR 7347, Université de Tours, CNRS, INSA Centre Val de Loire, Tours, France.

J-P Remenieras (JP)

UMR 1253, iBrain, Université de Tours, Inserm, Tours, France.

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Classifications MeSH