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

0576078 - ÚT 2024 RIV US eng J - Journal Article
Dvořáková, Zuzana - Dos Santos, S. - Kůs, V. - Převorovský, Zdeněk
Localization and classification of scattered nonlinear ultrasonic signatures in bio-mechanical media using time reversal approach.
Journal of the Acoustical Society of America. Roč. 154, č. 3 (2023), s. 1684-1695. ISSN 0001-4966. E-ISSN 1520-8524
Institutional support: RVO:61388998
Keywords : time reversal approach * nonlinearity * signal classification * Φ-divergence
OECD category: Materials engineering
Impact factor: 2.4, year: 2022
Method of publishing: Limited access
https://pubs.aip.org/asa/jasa/article-abstract/154/3/1684/2911418/Localization-and-classification-of-scattered?redirectedFrom=fulltext

This 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.
Permanent Link: https://hdl.handle.net/11104/0347992