Full-field noise-correlation elastography for in-plane mechanical anisotropy imaging.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Apr 2024
Historique:
received: 05 01 2024
revised: 04 03 2024
accepted: 05 03 2024
medline: 18 4 2024
pubmed: 18 4 2024
entrez: 18 4 2024
Statut: epublish

Résumé

Elastography contrast imaging has great potential for the detection and characterization of abnormalities in soft biological tissues to help physicians in diagnosis. Transient shear-waves elastography has notably shown promising results for a range of clinical applications. In biological soft tissues such as muscle, high mechanical anisotropy implies different stiffness estimations depending on the direction of the measurement. In this study, we propose the evolution of a noise-correlation elastography approach for in-plane anisotropy mapping. This method is shown to retrieve anisotropy from simulation images before being validated on agarose anisotropic tissue-mimicking phantoms, and the first results on

Identifiants

pubmed: 38633096
doi: 10.1364/BOE.516166
pii: 516166
pmc: PMC11019699
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2622-2635

Informations de copyright

© 2024 Optica Publishing Group.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Agathe Marmin (A)

Université de Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg, France.

Nina Dufour (N)

Université de Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg, France.

Sybille Facca (S)

Université de Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg, France.
Department of Hand Surgery, SOS hand, University Hospital of Strasbourg, FMTS, 1 avenue Molière, 67000 Strasbourg, France.

Stefan Catheline (S)

LabTAU, Inserm, Centre Léon Bérard, Université Lyon 1, Univ Lyon, F-69003 Lyon, France.

Simon Chatelin (S)

Université de Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg, France.
RoDIn, Inserm ERL1328, 1 place de l'Hôpital, 67000 Strasbourg, France.

Amir Nahas (A)

Université de Strasbourg, CNRS, ICube, UMR 7357, 67000 Strasbourg, France.

Classifications MeSH