ArticleThe Journal of the Acoustical Society of America2012
Cancellous bone fast and slow waves obtained with Bayesian probability theory correlate with porosity from computed tomography.
Article in The Journal of the Acoustical Society of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- 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
- Characterization of a polymer, open-cell rigid foam that simulates the ultrasonic properties of cancellous bone.The Journal of the Acoustical Society of America · 2018Article
- 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
- Fast and slow wave detection in bovine cancellous bone in vitro using bandlimited deconvolution and Prony's method.The Journal of the Acoustical Society of America · 2014Article
- Ultrasound to assess bone quality.Current osteoporosis reports · 2014Article
- Time-domain separation of interfering waves in cancellous bone using bandlimited deconvolution: simulation and phantom study.The Journal of the Acoustical Society of America · 2014Article
- Estimation of fast and slow wave properties in cancellous bone using Prony's method and curve fitting.The Journal of the Acoustical Society of America · 2013Article
- New perspectives in echographic diagnosis of osteoporosis on hip and spine.Clinical cases in mineral and bone metabolism : the official journal of the Italian Society of Osteoporosis, Mineral Metabolism, and Skeletal DiseasesReview
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4 authors.
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Abstract
A Bayesian probability theory approach for separating overlapping ultrasonic fast and slow waves in cancellous bone has been previously introduced. The goals of this study were to investigate whether the fast and slow waves obtained from Bayesian separation of an apparently single mode signal individually correlate with porosity and to isolate the fast and slow waves from medial-lateral insonification of the calcaneus. The Bayesian technique was applied to trabecular bone data from eight human calcanei insonified in the medial-lateral direction. The phase velocity, slope of attenuation (nBUA), and amplitude were determined for both the fast and slow waves. The porosity was assessed by micro-computed tomography (microCT) and ranged from 78.7% to 94.1%. The method successfully separated the fast and slow waves from medial-lateral insonification of the calcaneus. The phase velocity for both the fast and slow wave modes showed an inverse correlation with porosity (R(2) = 0.73 and R(2) = 0.86, respectively). The slope of attenuation for both wave modes also had a negative correlation with porosity (fast wave: R(2) = 0.73, slow wave: R(2) = 0.53). The fast wave amplitude decreased with increasing porosity (R(2) = 0.66). Conversely, the slow wave amplitude modestly increased with increasing porosity (R(2) = 0.39).
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