SPATIAL LOCALIZATION AND STATISTICAL CLASSIFICATION OF NONLINEAR ULTRASONIC SIGNATURE IN BIO-MECHANICAL MEDIUM WITH TIME REVERSAL BASED NEWS METHODS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210332" target="_blank" >RIV/68407700:21340/13:00210332 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.acousticssingapore.com/html/P0426.xml" target="_blank" >http://www.acousticssingapore.com/html/P0426.xml</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3850/978-981-07-5938-4_P0426" target="_blank" >10.3850/978-981-07-5938-4_P0426</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
SPATIAL LOCALIZATION AND STATISTICAL CLASSIFICATION OF NONLINEAR ULTRASONIC SIGNATURE IN BIO-MECHANICAL MEDIUM WITH TIME REVERSAL BASED NEWS METHODS
Popis výsledku v původním jazyce
This paper investigates possibilities of localization and statistical classification of ultrasonic nonlinearities in biomedical complex media. Time Reversal (TR) approach in combination with Nonlinear Elastic Wave Spectroscopy (NEWS) is used in order toobtain nonlinear signature of damages in a tooth, air bubbles in liquid, and ultrasound contrast agents (UCA). The classification of ultrasonic signals is performed by means of a fuzzy classification method, in which parameters like S and phi-divergenceare extracted from the received ultrasonic response containing acoustic nonlinearities. According to the classification results, several types of nonlinearities extracted with classical Pulse Inversion (PI) based coding methods are identified and position of the scattered sources in the complex media are also approximately found. Several suggested experiments are described. A human tooth is analyzed by chirp-coded signals emitted using piezoelectric transducer with a 10 MHz bi-modal band
Název v anglickém jazyce
SPATIAL LOCALIZATION AND STATISTICAL CLASSIFICATION OF NONLINEAR ULTRASONIC SIGNATURE IN BIO-MECHANICAL MEDIUM WITH TIME REVERSAL BASED NEWS METHODS
Popis výsledku anglicky
This paper investigates possibilities of localization and statistical classification of ultrasonic nonlinearities in biomedical complex media. Time Reversal (TR) approach in combination with Nonlinear Elastic Wave Spectroscopy (NEWS) is used in order toobtain nonlinear signature of damages in a tooth, air bubbles in liquid, and ultrasound contrast agents (UCA). The classification of ultrasonic signals is performed by means of a fuzzy classification method, in which parameters like S and phi-divergenceare extracted from the received ultrasonic response containing acoustic nonlinearities. According to the classification results, several types of nonlinearities extracted with classical Pulse Inversion (PI) based coding methods are identified and position of the scattered sources in the complex media are also approximately found. Several suggested experiments are described. A human tooth is analyzed by chirp-coded signals emitted using piezoelectric transducer with a 10 MHz bi-modal band
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JB - Senzory, čidla, měření a regulace
OECD FORD obor
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Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 2013 International Congress on Ultrasonics
ISBN
978-981-07-5938-4
ISSN
—
e-ISSN
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Počet stran výsledku
6
Strana od-do
796-801
Název nakladatele
Research Publishing Services
Místo vydání
Singapore
Místo konání akce
Singapore
Datum konání akce
2. 5. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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