ArticleThe Journal of the Acoustical Society of America2014
Fast and slow wave detection in bovine cancellous bone in vitro using bandlimited deconvolution and Prony's method.
Article in The Journal of the Acoustical Society of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 15 citations in OpenAlex.
- Ultrasonic Assessment of Cancellous Bone Based on the Two-Wave Phenomenon.Advances in experimental medicine and biology · 2022Article
- Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020Review
- Conventional, Bayesian, and Modified Prony's methods for characterizing fast and slow waves in equine cancellous bone.The Journal of the Acoustical Society of America · 2015Article
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
Fast and slow waves were detected in a bovine cancellous bone sample for thicknesses ranging from 7 to 12 mm using bandlimited deconvolution and the modified least-squares Prony's method with curve fitting (MLSP + CF). Bandlimited deconvolution consistently isolated two waves with linear-with-frequency attenuation coefficients as evidenced by high correlation coefficients between attenuation coefficient and frequency: 0.997 ± 0.002 (fast wave) and 0.986 ± 0.013 (slow wave) (mean ± standard deviation). Average root-mean-squared (RMS) differences between the two algorithms for phase velocities were 5 m/s (fast wave, 350 kHz) and 13 m/s (slow wave, 750 kHz). Average RMS differences for signal loss were 1.6 dB (fast wave, 350 kHz) and 0.4 dB (slow wave, 750 kHz). Phase velocities for thickness = 10 mm were 1726 m/s (fast wave, 350 kHz) and 1455 m/s (slow wave, 750 kHz). Results show support for the model of two waves with linear-with frequency attenuation, successful isolation of fast and slow waves, good agreement between bandlimited deconvolution and MLSP + CF as well as with a Bayesian algorithm, and potential variations of fast and/or slow wave properties with bone sample thickness.
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