Back to Search
Start Over
Harmonizing finite element modelling for non-invasive strength estimation by high-resolution peripheral quantitative computed tomography.
- Source :
-
Journal of biomechanics [J Biomech] 2018 Oct 26; Vol. 80, pp. 63-71. Date of Electronic Publication: 2018 Aug 29. - Publication Year :
- 2018
-
Abstract
- The finite element (FE) method based on high-resolution peripheral quantitative computed tomography (HR-pQCT) use a variety of tissue constitutive properties and boundary conditions at different laboratories making comparison of mechanical properties difficult. Furthermore, the advent of a second-generation HR-pQCT poses challenges due to improved resolution and a larger region of interest (ROI). This study addresses the need to harmonize results across FE models. The aims are to establish the relationship between FE results as a function of boundary conditions and a range of tissue properties for the first-generation HR-pQCT system, and to determine appropriate model parameters for the second-generation HR-pQCT system. We implemented common boundary conditions and tissue properties on a large cohort (N = 1371), and showed the relationships were highly linear (R <superscript>2</superscript> > 0.99) for yield strength and reaction force between FE models. Cadaver radii measured on both generation HR-pQCT with matched ROIs were used to back-calculate a tissue modulus that accounts for the increased resolution (61 µm versus 82 µm), resulting in a modulus of 8748 MPa for second-generation HR-pQCT to produce bone yield strength and reaction force equivalent to using 6829 MPa for first-generation HR-pQCT. Finally, in vivo scans (N = 61) conducted on both generations demonstrated that the larger ROI in the second-generation system results in stronger bone outcome measures, suggesting it is not advisable to convert FE results across HR-pQCT generations without matching ROIs. Together, these findings harmonize FE results by providing a means to compare findings with different boundary conditions and tissue properties, and across scanner generations.<br /> (Copyright © 2018 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-2380
- Volume :
- 80
- Database :
- MEDLINE
- Journal :
- Journal of biomechanics
- Publication Type :
- Academic Journal
- Accession number :
- 30201250
- Full Text :
- https://doi.org/10.1016/j.jbiomech.2018.08.030