2009 IEEE International Ultrasonics Symposium 2009
DOI: 10.1109/ultsym.2009.5442056
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Effect of porosity distribution in a propagation direction on ultrasound waves through cancellous bone

Abstract: Cancellous bone is a porous material composed of numerous trabecular elements and its porosity changes with position in the bone. In this study, the effect of the porosity distribution in the propagation direction on ultrasound waves through cancellous bone has been numerically investigated using finite difference time-domain (FDTD) simulations with threedimensional (3-D) microcomputed tomographic (μCT) models of bovine cancellous bone having an oriented trabecular structure. To generate the trabecular structu… Show more

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Cited by 9 publications
(13 citation statements)
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“…Both results from Figs. 3 and 4 are consistent with experimental and numerical results reported in the literature (Cardoso et al, 2003;Haiat et al, 2008;Hosokawa, 2010;Hosokawa and Otani, 1998).…”
Section: Resultssupporting
confidence: 91%
“…Both results from Figs. 3 and 4 are consistent with experimental and numerical results reported in the literature (Cardoso et al, 2003;Haiat et al, 2008;Hosokawa, 2010;Hosokawa and Otani, 1998).…”
Section: Resultssupporting
confidence: 91%
“…[4][5][6][7][8][9][10] In some experimental situations, the two waves are separated in the time-domain data, whereas in other circumstances the two waves substantially overlap and may appear as only a single wave. The degree to which the fast waves and slow waves overlap depends on a number of factors including porosity, structural anisotropy, ultrasonic path length, and the angle of insonification relative to the predominant trabecular orientation.…”
Section: Introductionmentioning
confidence: 99%
“…The complicated microstructure is known to support the propagation of multiple compressional ultrasonic wave modes, often referred to as fast waves and slow waves. [13][14][15][16][17][18][19] When cancellous bone samples are insonified in through-transmission studies, the two waves occasionally are separated and clearly distinct in the radiofrequency ͑rf͒ data. However, in some circumstances, the two waves can strongly overlap during the time period over which the rf data are acquired, resulting in interference and difficulties in distinguishing between the two waves.…”
Section: Introductionmentioning
confidence: 99%