Numerical investigations of anisotropic structures of red blood cell aggregates on ultrasonic backscattering.


Journal

The Journal of the Acoustical Society of America
ISSN: 1520-8524
Titre abrégé: J Acoust Soc Am
Pays: United States
ID NLM: 7503051

Informations de publication

Date de publication:
04 2021
Historique:
entrez: 4 5 2021
pubmed: 5 5 2021
medline: 6 7 2021
Statut: ppublish

Résumé

Although quantitative ultrasound techniques based on the parameterization of the backscatter coefficient (BSC) have been successfully applied to blood characterization, theoretical scattering models assume blood as an isotropic scattering medium. However, the red blood cell (RBC) aggregates form anisotropic structures such as rouleaux. The present study proposes an anisotropic formulation of the effective medium theory combined with the local monodisperse approximation (EMTLMA) that considers perfectly aligned prolate-shaped aggregates. Theoretical BSC predictions were first compared with computer simulations of BSCs in a forward problem framework. Computer simulations were conducted for perfectly aligned prolate-shaped aggregates and more complex configurations with partially aligned prolate-shaped aggregates for which the size and orientation of RBC aggregates were obtained from blood optical observations. The isotropic and anisotropic EMTLMA models were then compared in an inverse problem framework to estimate blindly the structural parameters of RBC aggregates from the simulated BSCs. When considering the isotropic EMTLMA, the use of averaged BSCs over different insonification directions significantly improves the estimation of aggregate structural parameters. Overall, the anisotropic EMTLMA was found to be superior to the isotropic EMTLMA in estimating the scatterer volume distribution. These results contribute to a better interpretation of scatterer size estimates for blood characterization.

Identifiants

pubmed: 33940880
doi: 10.1121/10.0003815
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2415

Auteurs

Lenin Chinchilla (L)

Aix-Marseille University, CNRS, Centrale Marseille, LMA, Turing Centre for Living Systems, Marseille, France.

Curtis Armstrong (C)

Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada.

Rym Mehri (R)

Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada.

Alessandro S Savoia (AS)

Department of Engineering, Roma Tre University, Rome, Italy.

Marianne Fenech (M)

Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada.

Emilie Franceschini (E)

Aix-Marseille University, CNRS, Centrale Marseille, LMA, Turing Centre for Living Systems, Marseille, France.

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Classifications MeSH