Literature DB >> 17183128

Empirical angle-dependent Biot and MBA models for acoustic anisotropy in cancellous bone.

Kang Il Lee1, E R Hughes, V F Humphrey, T G Leighton, Min Joo Choi.   

Abstract

The Biot and the modified Biot-Attenborough (MBA) models have been found useful to understand ultrasonic wave propagation in cancellous bone. However, neither of the models, as previously applied to cancellous bone, allows for the angular dependence of acoustic properties with direction. The present study aims to account for the acoustic anisotropy in cancellous bone, by introducing empirical angle-dependent input parameters, as defined for a highly oriented structure, into the Biot and the MBA models. The anisotropy of the angle-dependent Biot model is attributed to the variation in the elastic moduli of the skeletal frame with respect to the trabecular alignment. The angle-dependent MBA model employs a simple empirical way of using the parametric fit for the fast and the slow wave speeds. The angle-dependent models were used to predict both the fast and slow wave velocities as a function of propagation angle with respect to the trabecular alignment of cancellous bone. The predictions were compared with those of the Schoenberg model for anisotropy in cancellous bone and in vitro experimental measurements from the literature. The angle-dependent models successfully predicted the angular dependence of phase velocity of the fast wave with direction. The root-mean-square errors of the measured versus predicted fast wave velocities were 79.2 m s(-1) (angle-dependent Biot model) and 36.1 m s(-1) (angle-dependent MBA model). They also predicted the fact that the slow wave is nearly independent of propagation angle for angles about 50 degrees , but consistently underestimated the slow wave velocity with the root-mean-square errors of 187.2 m s(-1) (angle-dependent Biot model) and 240.8 m s(-1) (angle-dependent MBA model). The study indicates that the angle-dependent models reasonably replicate the acoustic anisotropy in cancellous bone.

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Year:  2006        PMID: 17183128     DOI: 10.1088/0031-9155/52/1/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Determining attenuation properties of interfering fast and slow ultrasonic waves in cancellous bone.

Authors:  Amber M Nelson; Joseph J Hoffman; Christian C Anderson; Mark R Holland; Yoshiki Nagatani; Katsunori Mizuno; Mami Matsukawa; James G Miller
Journal:  J Acoust Soc Am       Date:  2011-10       Impact factor: 1.840

2.  Inverse problems in cancellous bone: estimation of the ultrasonic properties of fast and slow waves using Bayesian probability theory.

Authors:  Christian C Anderson; Adam Q Bauer; Mark R Holland; Michal Pakula; Pascal Laugier; G Larry Bretthorst; James G Miller
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

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

Authors:  Amber M Groopman; Jonathan I Katz; Mark R Holland; Fuminori Fujita; Mami Matsukawa; Katsunori Mizuno; Keith A Wear; James G Miller
Journal:  J Acoust Soc Am       Date:  2015-08       Impact factor: 1.840

4.  Multi-resolution simulation of focused ultrasound propagation through ovine skull from a single-element transducer.

Authors:  Kyungho Yoon; Wonhye Lee; Phillip Croce; Amanda Cammalleri; Seung-Schik Yoo
Journal:  Phys Med Biol       Date:  2018-05-10       Impact factor: 3.609

5.  Enhanced correlation between quantitative ultrasound and structural and mechanical properties of bone using combined transmission-reflection measurement.

Authors:  Liangjun Lin; Wei Lin; Yi-Xian Qin
Journal:  J Acoust Soc Am       Date:  2015-03       Impact factor: 1.840

6.  Cancellous bone fast and slow waves obtained with Bayesian probability theory correlate with porosity from computed tomography.

Authors:  Joseph J Hoffman; Amber M Nelson; Mark R Holland; James G Miller
Journal:  J Acoust Soc Am       Date:  2012-09       Impact factor: 1.840

7.  Principal trabecular structural orientation predicted by quantitative ultrasound is strongly correlated with μFEA determined anisotropic apparent stiffness.

Authors:  Liangjun Lin; Han Yuen Oon; Wei Lin; Yi-Xian Qin
Journal:  Biomech Model Mechanobiol       Date:  2014-01-14

8.  Interference between wave modes may contribute to the apparent negative dispersion observed in cancellous bone.

Authors:  Christian C Anderson; Karen R Marutyan; Mark R Holland; Keith A Wear; James G Miller
Journal:  J Acoust Soc Am       Date:  2008-09       Impact factor: 1.840

9.  Prediction of trabecular bone principal structural orientation using quantitative ultrasound scanning.

Authors:  Liangjun Lin; Jiqi Cheng; Wei Lin; Yi-Xian Qin
Journal:  J Biomech       Date:  2012-05-05       Impact factor: 2.712

  9 in total

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