Literature DB >> 25167148

Combined estimation of thickness and velocities using ultrasound guided waves: a pioneering study on in vitro cortical bone samples.

Josquin Foiret, Jean-Gabriel Minonzio, Christine Chappard, Maryline Talmant, Pascal Laugier.   

Abstract

This paper reports for the first time on inverse estimation of several bone properties from guided-wave measurements in human bone samples. Previously, related approaches have focused on ultrasonic estimation of a single bone property at a time. The method is based on two steps: the multi-Lamb mode response is analyzed using the singular value decomposition signal processing method recently introduced in the field, then an identification procedure is run to find thickness and anisotropic elastic properties of the considered specimen. Prior to the measurements on bone, the method is validated on cortical bone-mimicking phantoms. The repeatability and the trueness of the estimated parameters on bone-mimicking phantoms were found around a few percent. Estimation of cortical thickness on bone samples was in good agreement with cortical thickness derived from high-resolution peripheral quantitative computed tomography data analysis of the samples.

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Year:  2014        PMID: 25167148     DOI: 10.1109/TUFFC.2014.3062

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  11 in total

1.  A free plate model can predict guided modes propagating in tubular bone-mimicking phantoms.

Authors:  Jean-Gabriel Minonzio; Josquin Foiret; Petro Moilanen; Jalmari Pirhonen; Zuomin Zhao; Maryline Talmant; Jussi Timonen; Pascal Laugier
Journal:  J Acoust Soc Am       Date:  2015-01       Impact factor: 1.840

2.  The effect of pore size and density on ultrasonic attenuation in porous structures with mono-disperse random pore distribution: A two-dimensional in-silico study.

Authors:  Omid Yousefian; R D White; Yasamin Karbalaeisadegh; H T Banks; Marie Muller
Journal:  J Acoust Soc Am       Date:  2018-08       Impact factor: 1.840

3.  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

4.  An Adaptive Array Excitation Scheme for the Unidirectional Enhancement of Guided Waves.

Authors:  Chris Adams; Sevan Harput; David Cowell; Thomas M Carpenter; David M Charutz; Steven Freear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-11-11       Impact factor: 2.725

5.  Signal Processing Techniques Applied to Axial Transmission Ultrasound.

Authors:  Tho N H T Tran; Kailiang Xu; Lawrence H Le; Dean Ta
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

6.  Axial Transmission: Techniques, Devices and Clinical Results.

Authors:  Nicolas Bochud; Pascal Laugier
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

Review 7.  Documenting the Anisotropic Stiffness of Hard Tissues with Resonant Ultrasound Spectroscopy.

Authors:  Xiran Cai; Simon Bernard; Quentin Grimal
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

8.  Predicting bone strength with ultrasonic guided waves.

Authors:  Nicolas Bochud; Quentin Vallet; Jean-Gabriel Minonzio; Pascal Laugier
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

9.  Development of a Novel Guided Wave Generation System Using a Giant Magnetostrictive Actuator for Nondestructive Evaluation.

Authors:  Mingzhang Luo; Weijie Li; Junming Wang; Ning Wang; Xuemin Chen; Gangbing Song
Journal:  Sensors (Basel)       Date:  2018-03-04       Impact factor: 3.576

10.  Towards assessing cortical bone porosity using low-frequency quantitative acoustics: A phantom-based study.

Authors:  Florian Vogl; Benjamin Bernet; Daniele Bolognesi; William R Taylor
Journal:  PLoS One       Date:  2017-09-07       Impact factor: 3.240

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