Conventional, Bayesian, and Modified Prony's methods for characterizing fast and slow waves in equine cancellous bone

Conventional, Bayesian, and the modified least-squares Prony's plus curve-fitting (MLSP + CF) methods were applied to data acquired using 1 MHz center frequency, broadband transducers on a single equine cancellous bone specimen that was systematically shortened from 11.8 mm down to 0.5 mm for a...

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Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2015-08, Vol.138 (2), p.594-604
Main Authors: Groopman, Amber M, Katz, Jonathan I, Holland, Mark R, Fujita, Fuminori, Matsukawa, Mami, Mizuno, Katsunori, Wear, Keith A, Miller, James G
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Animals
Bayes Theorem
Biomedical Acoustics
Bone Conduction - physiology
Horses - anatomy & histology
Horses - physiology
Least-Squares Analysis
Porosity
Radio Waves
Radius - ultrastructure
Sound
Ultrasonics
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Summary:Conventional, Bayesian, and the modified least-squares Prony's plus curve-fitting (MLSP + CF) methods were applied to data acquired using 1 MHz center frequency, broadband transducers on a single equine cancellous bone specimen that was systematically shortened from 11.8 mm down to 0.5 mm for a total of 24 sample thicknesses. Due to overlapping fast and slow waves, conventional analysis methods were restricted to data from sample thicknesses ranging from 11.8 mm to 6.0 mm. In contrast, Bayesian and MLSP + CF methods successfully separated fast and slow waves and provided reliable estimates of the ultrasonic properties of fast and slow waves for sample thicknesses ranging from 11.8 mm down to 3.5 mm. Comparisons of the three methods were carried out for phase velocity at the center frequency and the slope of the attenuation coefficient for the fast and slow waves. Good agreement among the three methods was also observed for average signal loss at the center frequency. The Bayesian and MLSP + CF approaches were able to separate the fast and slow waves and provide good estimates of the fast and slow wave properties even when the two wave modes overlapped in both time and frequency domains making conventional analysis methods unreliable.
ISSN:0001-4966
1520-8524
DOI:10.1121/1.4923366