Work

Bayesian estimation of the underlying bone properties from mixed fast and slow mode ultrasonic signals

Year: 2006

Type: article

Abstract: We recently proposed that the observed apparent negative dispersion in bone can arise from the interference between fast wave and slow wave modes, each exhibiting positive dispersion [Marutyan et al., J. Acoust. Soc. Am. 120, EL55-EL61 (2006)]. In the current study, we applied Bayesian probability theory to solve the inverse problem: extracting the underlying properties of bone. Simulated mixed mode signals were analyzed using Bayesian probability. The calculations were implemented using the Markov chain Monte Carlo with simulated annealing to draw samples from the marginal posterior probability for each parameter.

Source: The Journal of the Acoustical Society of America

DOI: 10.1121/1.2401198

Authors: Karen R. Marutyan, G. Larry Bretthorst, James G. Miller

Institution: Washington University in St. Louis

Language: English

Topic: Ultrasonics and Acoustic Wave Propagation

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Cancer Institute

Awards: Washington University Small Animal Imaging Resource, Anisotropy in Myocardial Ultrasound