Literature DB >> 12706197

Prediction of frequency-dependent ultrasonic backscatter in cancellous bone using statistical weak scattering model.

Frédéric Jenson1, Frédéric Padilla, Pascal Laugier.   

Abstract

The goal of this study was to propose a model for the ultrasonic frequency-dependent backscatter coefficient in cancellous bone. This model allows us to address the inverse problem and to predict the mean trabecular thickness. A weak scattering model is used and the backscatter coefficient is expressed in terms of an autocorrelation function of the medium. Different autocorrelation functions (Gaussian, exponential and densely populated media) were used to compute the backscatter coefficient and comparison is made with experimental data for 19 specimens and for frequency ranging from 0.4 to 1.2 MHz. For each specimen, a nonlinear regression was performed and the mean trabecular thickness is estimated. Experimental data and theoretical predictions were averaged over the 19 specimens. A good agreement between experimental data and predictions was found for both the magnitude and the frequency-dependence of the backscatter coefficient. We also found a good agreement between the experimental mean trabecular thickness (Tb. Th = 130 +/- 6.5 micro m) derived from the analysis of bone 3-D microarchitecture using high-resolution microtomography and theoretical predictions (d(Gauss) = 140 +/- 10 micro m, d(exponential) = 153 +/- 12.5 micro m and d(dense) = 138 +/- 6.5 micro m). These results open interesting prospects for the estimation of the mean trabecular thickness from in vivo measurements.

Mesh:

Year:  2003        PMID: 12706197     DOI: 10.1016/s0301-5629(02)00742-1

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  15 in total

Review 1.  Bone quality: where do we go from here?

Authors:  Mary L Bouxsein
Journal:  Osteoporos Int       Date:  2003-08-29       Impact factor: 4.507

2.  Relationships of quantitative ultrasound parameters with cancellous bone microstructure in human calcaneus in vitro.

Authors:  Keith A Wear; Srinidhi Nagaraja; Maureen L Dreher; Sheng L Gibson
Journal:  J Acoust Soc Am       Date:  2012-02       Impact factor: 1.840

3.  Effect of intervening tissues on ultrasonic backscatter measurements of bone: An in vitro study.

Authors:  Brent K Hoffmeister; P Luke Spinolo; Mark E Sellers; Peyton L Marshall; Ann M Viano; Sang-Rok Lee
Journal:  J Acoust Soc Am       Date:  2015-10       Impact factor: 1.840

Review 4.  Recent developments in trabecular bone characterization using ultrasound.

Authors:  Frédéric Padilla; Pascal Laugier
Journal:  Curr Osteoporos Rep       Date:  2005-06       Impact factor: 5.096

5.  The effect of phase cancellation on estimates of broadband ultrasound attenuation and backscatter coefficient in human calcaneus in vitro.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-02       Impact factor: 2.725

6.  Mechanisms for attenuation in cancellous-bone-mimicking phantoms.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-11       Impact factor: 2.725

Review 7.  Ultrasonic scattering from cancellous bone: a review.

Authors:  K A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2008-07       Impact factor: 2.725

Review 8.  Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-10-16       Impact factor: 2.725

9.  Artificial neural network to estimate micro-architectural properties of cortical bone using ultrasonic attenuation: A 2-D numerical study.

Authors:  Kaustav Mohanty; Omid Yousefian; Yasamin Karbalaeisadegh; Micah Ulrich; Quentin Grimal; Marie Muller
Journal:  Comput Biol Med       Date:  2019-09-20       Impact factor: 4.589

10.  The application of backscattered ultrasound and photoacoustic signals for assessment of bone collagen and mineral contents.

Authors:  Bahman Lashkari; Lifeng Yang; Andreas Mandelis
Journal:  Quant Imaging Med Surg       Date:  2015-02
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