scholarly journals The Application of Digital Volume Correlation (DVC) to Evaluate Strain Predictions Generated by Finite Element Models of the Osteoarthritic Humeral Head

2020 ◽  
Vol 48 (12) ◽  
pp. 2859-2869 ◽  
Author(s):  
Jonathan Kusins ◽  
Nikolas Knowles ◽  
Melanie Columbus ◽  
Sara Oliviero ◽  
Enrico Dall’Ara ◽  
...  

AbstractContinuum-level finite element models (FEMs) of the humerus offer the ability to evaluate joint replacement designs preclinically; however, experimental validation of these models is critical to ensure accuracy. The objective of the current study was to quantify experimental full-field strain magnitudes within osteoarthritic (OA) humeral heads by combining mechanical loading with volumetric microCT imaging and digital volume correlation (DVC). The experimental data was used to evaluate the accuracy of corresponding FEMs. Six OA humeral head osteotomies were harvested from patients being treated with total shoulder arthroplasty and mechanical testing was performed within a microCT scanner. MicroCT images (33.5 µm isotropic voxels) were obtained in a pre- and post-loaded state and BoneDVC was used to quantify full-field experimental strains (≈ 1 mm nodal spacing, accuracy = 351 µstrain, precision = 518 µstrain). Continuum-level FEMs with two types of boundary conditions (BCs) were simulated: DVC-driven and force-driven. Accuracy of the FEMs was found to be sensitive to the BC simulated with better agreement found with the use of DVC-driven BCs (slope = 0.83, r2 = 0.80) compared to force-driven BCs (slope = 0.22, r2 = 0.12). This study quantified mechanical strain distributions within OA trabecular bone and demonstrated the importance of BCs to ensure the accuracy of predictions generated by corresponding FEMs.

2020 ◽  
Vol 77 ◽  
pp. 125-129
Author(s):  
Alexander Abel ◽  
Stephanie L. Kahmann ◽  
Stephen Mellon ◽  
Manfred Staat ◽  
Alexander Jung

Author(s):  
Nikolas K. Knowles ◽  
Jonathan Kusins ◽  
Melanie P. Columbus ◽  
George S. Athwal ◽  
Louis M. Ferreira

2017 ◽  
Author(s):  
E. García ◽  
A. Oliver ◽  
O. Diaz ◽  
Y. Diez ◽  
A. Gubern-Mérida ◽  
...  

Author(s):  
Yi Pan ◽  
Assimina A. Pelegri ◽  
David I. Shreiber

Axonal injury represents a critical target for TBI and SCI prevention and treatment. Mechanical strain has been identified as the proximal cause of axonal injury, while secondary ischaemic and excitotoxic insults associated with the primary trauma potentially exacerbate the structural and functional damage. Many studies have been attempted to identify the states of stress and strain in white matter using animal and finite element models. These material models employed in finite element simulations of the central nervous system (CNS) of soft tissues heavily depend on phenomenological representations. The accuracy of these simulations depends not only on correct determination of the material properties but also on precise depiction of the tissues’ microstructure.


2012 ◽  
Vol 45 (8) ◽  
pp. 1498-1506 ◽  
Author(s):  
F. Gröning ◽  
J.A. Bright ◽  
M.J. Fagan ◽  
P. O'Higgins

Sign in / Sign up

Export Citation Format

Share Document