Literature DB >> 33514152

Inferring pore radius and density from ultrasonic attenuation using physics-based modeling.

R D White1, O Yousefian2, H T Banks1, A Alexanderian1, M Muller3.   

Abstract

This work proposes the use of two physics-based models for wave attenuation to infer the microstructure of cortical bone-like structures. One model for ultrasound attenuation in porous media is based on the independent scattering approximation (ISA) and the other model is based on the Waterman Truell (WT) approximation. The microstructural parameters of interest are pore radius and pore density. Attenuation data are simulated for three-dimensional structures mimicking cortical bone using the finite-difference time domain package SimSonic. These simulated structures have fixed sized pores (monodisperse), allowing fine-tuned control of the microstructural parameters. Structures with pore radii ranging from 50 to 100  μm and densities ranging from 20 to 50 pores/mm3 are generated in which only the attenuation due to scattering is considered. From here, an inverse problem is formulated and solved, calibrating the models to the simulated data and producing estimates of pore radius and density. The estimated microstructural parameters closely match the values used to simulate the data, validating the use of both the ISA and WT approximations to model ultrasonic wave attenuation in heterogeneous structures mimicking cortical bone. Furthermore, this illustrates the effectiveness of both models in inferring pore radius and density solely from ultrasonic attenuation data.

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Year:  2021        PMID: 33514152      PMCID: PMC7808762          DOI: 10.1121/10.0003213

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


  22 in total

1.  Ultrasonic characterization of human cancellous bone using transmission and backscatter measurements: relationships to density and microstructure.

Authors:  S Chaffaî; F Peyrin; S Nuzzo; R Porcher; G Berger; P Laugier
Journal:  Bone       Date:  2002-01       Impact factor: 4.398

2.  Effect of microstructure on the mechanical properties of Haversian cortical bone.

Authors:  T Hoc; L Henry; M Verdier; D Aubry; L Sedel; A Meunier
Journal:  Bone       Date:  2005-12-05       Impact factor: 4.398

3.  Microstructural characterization of trabecular bone using ultrasonic backscattering and diffusion parameters.

Authors:  Hualong Du; Kaustav Mohanty; Marie Muller
Journal:  J Acoust Soc Am       Date:  2017-05       Impact factor: 1.840

4.  An estimate of the worldwide prevalence and disability associated with osteoporotic fractures.

Authors:  O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2006-09-16       Impact factor: 4.507

5.  The generation of enlarged eroded pores upon existing intracortical canals is a major contributor to endocortical trabecularization.

Authors:  Christina Møller Andreasen; Lydia Peteva Bakalova; Annemarie Brüel; Ellen Margrethe Hauge; Birgitte Jul Kiil; Jean-Marie Delaisse; Mariana Elizabeth Kersh; Jesper Skovhus Thomsen; Thomas Levin Andersen
Journal:  Bone       Date:  2019-11-02       Impact factor: 4.398

6.  Volumetric Cortical Bone Porosity Assessment with MR Imaging: Validation and Clinical Feasibility.

Authors:  Chamith S Rajapakse; Mahdieh Bashoor-Zadeh; Cheng Li; Wenli Sun; Alexander C Wright; Felix W Wehrli
Journal:  Radiology       Date:  2015-08       Impact factor: 11.105

7.  Bone density and fracture risk in men.

Authors:  L J Melton; E J Atkinson; M K O'Connor; W M O'Fallon; B L Riggs
Journal:  J Bone Miner Res       Date:  1998-12       Impact factor: 6.741

8.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

Authors:  D Marshall; O Johnell; H Wedel
Journal:  BMJ       Date:  1996-05-18

Review 9.  Perspective. How many women have osteoporosis?

Authors:  L J Melton; E A Chrischilles; C Cooper; A W Lane; B L Riggs
Journal:  J Bone Miner Res       Date:  1992-09       Impact factor: 6.741

10.  Large cortical bone pores in the tibia are associated with proximal femur strength.

Authors:  Gianluca Iori; Johannes Schneider; Andreas Reisinger; Frans Heyer; Laura Peralta; Caroline Wyers; Melanie Gräsel; Reinhard Barkmann; Claus C Glüer; J P van den Bergh; Dieter Pahr; Kay Raum
Journal:  PLoS One       Date:  2019-04-17       Impact factor: 3.240

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