Experimental DVC validation of heterogeneous micro finite element models applied to subchondral trabecular bone of the humeral head

2021 ◽  
Author(s):  
Nikolas K. Knowles ◽  
Jonathan Kusins ◽  
Melanie P. Columbus ◽  
George S. Athwal ◽  
Louis M. Ferreira
Keyword(s):  
Finite Element ◽  
Trabecular Bone ◽  
Humeral Head ◽  
Finite Element Models

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 ◽  
...  
Keyword(s):  
Finite Element ◽  
Humeral Head ◽  
Total Shoulder Arthroplasty ◽  
Mechanical Strain ◽  
Digital Volume Correlation ◽  
Finite Element Models ◽  
Full Field ◽  
Loaded State ◽  
Microct Imaging ◽  
Experimental Strains

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.

Preparation of On-Axis Cylindrical Trabecular Bone Specimens Using Micro-CT Imaging

2004 ◽  
Vol 126 (1) ◽  
pp. 122-125 ◽  
Author(s):  
Xiang Wang, ◽  
Xiangyi Liu, and ◽  
Glen L. Niebur
Keyword(s):  
Finite Element ◽  
High Resolution ◽  
Coordinate System ◽  
Trabecular Bone ◽  
Cylindrical Specimen ◽  
Longitudinal Axis ◽  
Ct Imaging ◽  
Finite Element Models ◽  
Micro Ct ◽  
Average Deviation

The Orientation of trabecular bone specimens for mechanical testing must be carefully controlled. A method for accurately preparing on-axis cylindrical specimens using high-resolution micro-CT imaging was developed. Sixteen cylindrical specimens were prepared from eight bovine tibiae. High-resolution finite element models were generated from micro-CT images of parallelepipeds and used to determine the principal material coordinate system of each parallelepiped. A cylindrical specimen was then machined with a diamond coring bit. The resulting specimens were scanned again to evaluate the orientation. The average deviation between the principal fabric orientation and the longitudinal axis of the cylindrical specimen was only 4.70±3.11°.

Fast and accurate specimen-specific simulation of trabecular bone elastic modulus using novel beam–shell finite element models

2011 ◽  
Vol 44 (8) ◽  
pp. 1566-1572 ◽  
Author(s):  
Jef Vanderoost ◽  
Siegfried V.N. Jaecques ◽  
Georges Van der Perre ◽  
Steven Boonen ◽  
Jan D'hooge ◽  
...  
Keyword(s):  
Finite Element ◽  
Elastic Modulus ◽  
Trabecular Bone ◽  
Finite Element Models ◽  
Shell Finite Element ◽  
Bone Elastic Modulus

High-resolution finite element models with tissue strength asymmetry accurately predict failure of trabecular bone

2000 ◽  
Vol 33 (12) ◽  
pp. 1575-1583 ◽  
Author(s):  
Glen L Niebur ◽  
Michael J Feldstein ◽  
Jonathan C Yuen ◽  
Tony J Chen ◽  
Tony M Keaveny
Keyword(s):  
Finite Element ◽  
High Resolution ◽  
Trabecular Bone ◽  
Finite Element Models ◽  
Strength Asymmetry

Convergence Behavior of High-Resolution Finite Element Models of Trabecular Bone

1999 ◽  
Vol 121 (6) ◽  
pp. 629-635 ◽  
Author(s):  
G. L. Niebur ◽  
J. C. Yuen ◽  
A. C. Hsia ◽  
T. M. Keaveny
Keyword(s):  
Finite Element ◽  
High Resolution ◽  
Trabecular Bone ◽  
Tissue Level ◽  
Finite Element Models ◽  
Trabecular Thickness ◽  
Convergence Behavior ◽  
Loading Mode ◽  
Element Size ◽  
High Resolution Models

The convergence behavior of finite element models depends on the size of elements used, the element polynomial order, and on the complexity of the applied loads. For high-resolution models of trabecular bone, changes in architecture and density may also be important. The goal of this study was to investigate the influence of these factors on the convergence behavior of high-resolution models of trabecular bone. Two human vertebral and two bovine tibial trabecular bone specimens were modeled at four resolutions ranging from 20 to 80 μm and subjected to both compressive and shear loading. Results indicated that convergence behavior depended on both loading mode (axial versus shear) and volume fraction of the specimen. Compared to the 20 μm resolution, the differences in apparent Young’s modulus at 40 μm resolution were less than 5 percent for all specimens, and for apparent shear modulus were less than 7 percent. By contrast, differences at 80 μm resolution in apparent modulus were up to 41 percent, depending on the specimen tested and loading mode. Overall, differences in apparent properties were always less than 10 percent when the ratio of mean trabecular thickness to element size was greater than four. Use of higher order elements did not improve the results. Tissue level parameters such as maximum principal strain did not converge. Tissue level strains converged when considered relative to a threshold value, but only if the strains were evaluated at Gauss points rather than element centroids. These findings indicate that good convergence can be obtained with this modeling technique, although element size should be chosen based on factors such as loading mode, mean trabecular thickness, and the particular output parameter of interest.

Effects of Thresholding Techniques on μCT-Based Finite Element Models of Trabecular Bone

2006 ◽  
Vol 129 (4) ◽  
pp. 481-486 ◽  
Author(s):  
Chi Hyun Kim ◽  
Henry Zhang ◽  
George Mikhail ◽  
Dietrich von Stechow ◽  
Ralph Müller ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Finite Element ◽  
Trabecular Bone ◽  
Volume Fraction ◽  
Ct Images ◽  
Bone Volume ◽  
Finite Element Models ◽  
Micro Ct ◽  
Bone Volume Fraction ◽  
Element Analysis

Microimaging based finite element analysis is widely used to predict the mechanical properties of trabecular bone. The choice of thresholding technique, a necessary step in converting grayscale images to finite element models, can significantly influence the predicted bone volume fraction and mechanical properties. Therefore, we investigated the effects of thresholding techniques on microcomputed tomography (micro-CT) based finite element models of trabecular bone. Three types of thresholding techniques were applied to 16-bit micro-CT images of trabecular bone to create three different models per specimen. Bone volume fractions and apparent moduli were predicted and compared to experimental results. In addition, trabecular tissue mechanical parameters and morphological parameters were compared among different models. Our findings suggest that predictions of apparent mechanical properties and structural properties agree well with experimental measurements regardless of the choice of thresholding methods or the format of micro-CT images.

Automated segmentation of cortical and trabecular bone to generate finite element models for femoral bone mechanics

2019 ◽  
Vol 70 ◽  
pp. 19-28 ◽  
Author(s):  
Sami P. Väänänen ◽  
Lorenzo Grassi ◽  
Mikko S. Venäläinen ◽  
Hanna Matikka ◽  
Yi Zheng ◽  
...  
Keyword(s):  
Finite Element ◽  
Trabecular Bone ◽  
Finite Element Models ◽  
Automated Segmentation ◽  
Femoral Bone ◽  
Bone Mechanics
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