Literature DB >> 17927441

Ultrasonically determined thickness of long cortical bones: two-dimensional simulations of in vitro experiments.

Petro Moilanen1, Maryline Talmant, Valerie Bousson, Patrick H F Nicholson, Sulin Cheng, Jussi Timonen, Pascal Laugier.   

Abstract

Previously it has been demonstrated that cortical bone thickness can be estimated from ultrasonic guided-wave measurements, in an axial transmission configuration, together with an appropriate analytical model. This study considers the impact of bone thickness variation within the measurement region on the ultrasonically determined thickness (UTh). To this end, wave velocities and UTh were determined from experiments and from time-domain finite-difference simulations of wave propagation, both performed on a set of ten human radius specimens (29 measurement sites). A two-dimensional numerical bone model was developed with tunable material properties and individualized geometry based on x-ray computed-tomography reconstructions of human radius. Cortical thickness (CTh) was determined from the latter. UTh data for simulations were indeed in a excellent accordance (root-mean-square error was 0.26 mm; r2=0.94, p<0.001) with average CTh within the measurement region. These results indicate that despite variations in cortical thickness along the propagation path, the measured phase velocity can be satisfactorily modeled by a simple analytical model (the A(0) plate mode in this case). Most of the variability (up to 85% when sites were carefully matched) observed in the in vitro ultrasound data was explained through simulations by variability in the cortical thickness alone.

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Year:  2007        PMID: 17927441     DOI: 10.1121/1.2756758

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  8 in total

1.  High speed insertion of bone fracture fixation pins: a finite element penetration model with experimental comparisons.

Authors:  Matthew P Prygoski; Timotius Pasang; Steven R Schmid; Antony J Lozier
Journal:  J Mater Sci Mater Med       Date:  2011-11-01       Impact factor: 3.896

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.  Ultrasound to assess bone quality.

Authors:  Kay Raum; Quentin Grimal; Peter Varga; Reinhard Barkmann; Claus C Glüer; Pascal Laugier
Journal:  Curr Osteoporos Rep       Date:  2014-06       Impact factor: 5.096

4.  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

5.  Ultrasonic assessment of the radius in vitro.

Authors:  Vincent Le Floch; Gangming Luo; Jonathan J Kaufman; Robert S Siffert
Journal:  Ultrasound Med Biol       Date:  2008-08-09       Impact factor: 2.998

6.  Reliability of Phase Velocity Measurements of Flexural Acoustic Waves in the Human Tibia In-Vivo.

Authors:  Florian Vogl; Karin Schnüriger; Hans Gerber; William R Taylor
Journal:  PLoS One       Date:  2016-03-25       Impact factor: 3.240

7.  Computational Study of the Effect of Cortical Porosity on Ultrasound Wave Propagation in Healthy and Osteoporotic Long Bones.

Authors:  Vassiliki T Potsika; Konstantinos N Grivas; Theodoros Gortsas; Gianluca Iori; Vasilios C Protopappas; Kay Raum; Demosthenes Polyzos; Dimitrios I Fotiadis
Journal:  Materials (Basel)       Date:  2016-03-17       Impact factor: 3.623

8.  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

  8 in total

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