DocumentCode :
3230215
Title :
Characterization of the fast wave in cancellous bone using the Bayesian probability theory approach
Author :
Matsukawa, Mami ; Mizuno, Katsunori ; Hoffman, Joseph J. ; Nelson, Amber M. ; Holland, Mark R. ; Nagatani, Yoshiki ; Miller, James G.
Author_Institution :
Lab. of Ultrasonic Electron., Doshisha Univ., Kyotanabe, Japan
fYear :
2011
fDate :
18-21 Oct. 2011
Firstpage :
1606
Lastpage :
1609
Abstract :
Bayesian probability approach with a simple model was introduced for the analysis of two wave propagation phenomenon in the cancellous bone. The fast and slow waves could be estimated from the experimentally observed wave. The reproduced wave made by these estimated fast and slow waves was compared with the initial experimental wave using a wavelet technique. The high frequency component of the reproduced wave corresponded to the slow wave and showed similar temporal-frequency characteristics of the experimental wave. The low frequency component of the reproduced wave, however, showed a small difference from the experimental wave. Although the model used in this study was very simple and still incomplete, the estimation of two waves was relatively good. Introduction of more appropriate model will bring us better estimation of the two wave propagation.
Keywords :
Bayes methods; biomedical ultrasonics; bone; orthopaedics; physiological models; ultrasonic propagation; wavelet transforms; Bayesian probability theory approach; cancellous bone; fast wave characterization; high frequency component; low frequency component; slow waves; temporal-frequency characteristics; two wave propagation phenomenon; wavelet technique; Acoustics; Attenuation; Bayesian methods; Bones; Cancellous bone; Estimation; Bayesian probability theory; cancellous bone; two wave phenomenon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium (IUS), 2011 IEEE International
Conference_Location :
Orlando, FL
ISSN :
1948-5719
Print_ISBN :
978-1-4577-1253-1
Type :
conf
DOI :
10.1109/ULTSYM.2011.0399
Filename :
6293425
Link To Document :
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