- Localization and classification of scattered nonlinear ultrasonic sig…
Počet záznamů: 1  

Localization and classification of scattered nonlinear ultrasonic signatures in bio-mechanical media using time reversal approach

  1. 1.
    SYSNO ASEP0576078
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevLocalization and classification of scattered nonlinear ultrasonic signatures in bio-mechanical media using time reversal approach
    Tvůrce(i) Dvořáková, Zuzana (UT-L) ORCID, RID
    Dos Santos, S. (FR)
    Kůs, V. (CZ)
    Převorovský, Zdeněk (UT-L) RID, ORCID
    Celkový počet autorů4
    Zdroj.dok.Journal of the Acoustical Society of America. - : Acoustical Society of America - ISSN 0001-4966
    Roč. 154, č. 3 (2023), s. 1684-1695
    Poč.str.12 s.
    Forma vydáníTištěná - P
    Jazyk dok.eng - angličtina
    Země vyd.US - Spojené státy americké
    Klíč. slovatime reversal approach ; nonlinearity ; signal classification ; Φ-divergence
    Vědní obor RIVBI - Akustika a kmity
    Obor OECDMaterials engineering
    Způsob publikováníOmezený přístup
    Institucionální podporaUT-L - RVO:61388998
    UT WOS001079145600005
    EID SCOPUS85171119752
    DOI https://doi.org/10.1121/10.0020658
    AnotaceThis paper deals with the time reversal approach along with signal classification using ϕ-divergences in biomedical applications for localization and statistical classification of ultrasonic nonlinearities. The time reversal (TR) approach in combination with nonlinear elastic wave spectroscopy (NEWS) is used to obtain the nonlinear signature of air bubbles with different sizes and ultrasound contrast agents in a liquid. An optimized chirp-coded signal in the range of 0.6–3 MHz is used as a compression coding. The signal classification is performed using the fuzzy classification method and the divergence decision tree algorithm using specific ϕ-divergence spectral measures extracted from the received ultrasonic response containing acoustic nonlinearities. The classification results prove that different types of nonlinearities extracted with classical “pulse inversion” based coding methods can be identified. Simultaneously, the different positions of scattered sources are distinguished by ϕ-divergence methods. The potential of time reversal nonlinear elastic wave spectroscopy methods for understanding of ultrasonic wave propagation in complex media is clearly exhibited.
    PracovištěÚstav termomechaniky
    KontaktMarie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823
    Rok sběru2024
    Elektronická adresahttps://pubs.aip.org/asa/jasa/article-abstract/154/3/1684/2911418/Localization-and-classification-of-scattered?redirectedFrom=fulltext
Počet záznamů: 1  

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