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Ex Vivo Assessment of Cortical Bone Properties Using Low-Frequency Ultrasonic Guided Waves.

Authors :
Pereira D
Fernandes J
Belanger P
Source :
IEEE transactions on ultrasonics, ferroelectrics, and frequency control [IEEE Trans Ultrason Ferroelectr Freq Control] 2020 May; Vol. 67 (5), pp. 910-922. Date of Electronic Publication: 2019 Dec 06.
Publication Year :
2020

Abstract

The early diagnosis of osteoporosis through bone quality assessment is a major public health challenge. Research in axial transmission using ultrasonic guided waves has shown the method to be sensitive to the geometrical and mechanical properties of the cortical layer in long bones. However, because of the asymmetric nature of cortical bone, the introduction of a more elaborate numerical model than the analytical plate and cylinder models, as well as its inversion, continues to be challenging. The aim of this article is, therefore, to implement a bone-like geometry using semianalytical finite-element (SAFE) modeling to perform the inverse characterization of ex vivo radii at low frequencies (< 60 kHz). Five cadaveric radiuses were taken from donors aged between 53 and 88 and tested using a typical axial transmission configuration at the middle of the diaphysis. The dispersion curves of the propagating modes were measured experimentally and then systematically compared with the solutions obtained with the SAFE method. For each sample, four parameters were estimated using a parameter identification procedure: 1) the bulk density; 2) the thickness; 3) the outer diameter; and 4) a shape factor (SF). The results showed a moderate agreement between the predicted bulk density and the average voxel value calculated from X-ray computed tomography images. Furthermore, a good agreement was observed between the geometrical parameters (thickness, outer diameter, and SF) and the reference images.

Details

Language :
English
ISSN :
1525-8955
Volume :
67
Issue :
5
Database :
MEDLINE
Journal :
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Publication Type :
Academic Journal
Accession number :
31825866
Full Text :
https://doi.org/10.1109/TUFFC.2019.2958035