Literature DB >> 31297723

Material Mapping of QCT-Derived Scapular Models: A Comparison with Micro-CT Loaded Specimens Using Digital Volume Correlation.

Nikolas K Knowles1,2,3,4, Jonathan Kusins5,6,7, Mohammadreza Faieghi8, Melissa Ryan9, Enrico Dall'Ara9, Louis M Ferreira5,6,7.   

Abstract

Subject- and site-specific modeling techniques greatly improve finite element models (FEMs) derived from clinical-resolution CT data. A variety of density-modulus relationships are used in scapula FEMs, but the sensitivity to selection of relationships has yet to be experimentally evaluated. The objectives of this study were to compare quantitative-CT (QCT) derived FEMs mapped with different density-modulus relationships and material mapping strategies to experimentally loaded cadaveric scapular specimens. Six specimens were loaded within a micro-CT (33.5 μm isotropic voxels) using a custom-hexapod loading device. Digital volume correlation (DVC) was used to estimate full-field displacements by registering images in pre- and post-loaded states. Experimental loads were measured using a 6-DOF load cell. QCT-FEMs replicated the experimental setup using DVC-driven boundary conditions (BCs) and were mapped with one of fifteen density-modulus relationships using elemental or nodal material mapping strategies. Models were compared based on predicted QCT-FEM nodal reaction forces compared to experimental load cell measurements and linear regression of the full-field nodal displacements compared to the DVC full-field displacements. Comparing full-field displacements, linear regression showed slopes ranging from 0.86 to 1.06, r-squared values of 0.82-1.00, and max errors of 0.039 mm for all three Cartesian directions. Nearly identical linear regression results occurred for both elemental and nodal material mapping strategies. Comparing QCT-FEM to experimental reaction forces, errors ranged from - 46 to 965% for all specimens, with specimen-specific errors as low as 3%. This study utilized volumetric imaging combined with mechanical loading to derive full-field experimental measurements to evaluate various density-modulus relationships required for QCT-FEMs applied to whole-bone scapular loading. The results suggest that elemental and nodal material mapping strategies are both able to simultaneously replicate experimental full-field displacements and reactions forces dependent on the density-modulus relationship used.

Entities:  

Keywords:  Bone mechanics; Experimental loading; Finite element modeling; Material mapping strategies

Year:  2019        PMID: 31297723      PMCID: PMC6838049          DOI: 10.1007/s10439-019-02312-2

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  27 in total

1.  The material mapping strategy influences the accuracy of CT-based finite element models of bones: an evaluation against experimental measurements.

Authors:  Fulvia Taddei; Enrico Schileo; Benedikt Helgason; Luca Cristofolini; Marco Viceconti
Journal:  Med Eng Phys       Date:  2006-12-12       Impact factor: 2.242

2.  Experimental validation of a finite element model of a human cadaveric tibia.

Authors:  Hans A Gray; Fulvia Taddei; Amy B Zavatsky; Luca Cristofolini; Harinderjit S Gill
Journal:  J Biomech Eng       Date:  2008-06       Impact factor: 2.097

3.  On the dependence of the elasticity and strength of cancellous bone on apparent density.

Authors:  J C Rice; S C Cowin; J A Bowman
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

4.  Stiffness of compact bone: effects of porosity and density.

Authors:  M B Schaffler; D B Burr
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

5.  The influence of the modulus-density relationship and the material mapping method on the simulated mechanical response of the proximal femur in side-ways fall loading configuration.

Authors:  B Helgason; S Gilchrist; O Ariza; P Vogt; W Enns-Bray; R P Widmer; T Fitze; H Pálsson; Y Pauchard; P Guy; S J Ferguson; P A Cripton
Journal:  Med Eng Phys       Date:  2016-05-12       Impact factor: 2.242

6.  The compressive behavior of bone as a two-phase porous structure.

Authors:  D R Carter; W C Hayes
Journal:  J Bone Joint Surg Am       Date:  1977-10       Impact factor: 5.284

7.  Differences in Trabecular Microarchitecture and Simplified Boundary Conditions Limit the Accuracy of Quantitative Computed Tomography-Based Finite Element Models of Vertebral Failure.

Authors:  Amira I Hussein; Daniel T Louzeiro; Ginu U Unnikrishnan; Elise F Morgan
Journal:  J Biomech Eng       Date:  2018-02-01       Impact factor: 2.097

8.  Polyethylene glenoid component fixation geometry influences stability in total shoulder arthroplasty.

Authors:  Nikolas K Knowles; G Daniel G Langohr; George S Athwal; Louis M Ferreira
Journal:  Comput Methods Biomech Biomed Engin       Date:  2018-12-31       Impact factor: 1.763

9.  Validation of finite element models of the mouse tibia using digital volume correlation.

Authors:  S Oliviero; M Giorgi; E Dall'Ara
Journal:  J Mech Behav Biomed Mater       Date:  2018-06-18

Review 10.  Quantitative Computed Tomography (QCT) derived Bone Mineral Density (BMD) in finite element studies: a review of the literature.

Authors:  Nikolas K Knowles; Jacob M Reeves; Louis M Ferreira
Journal:  J Exp Orthop       Date:  2016-12-09
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  1 in total

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

Authors:  Jonathan Kusins; Nikolas Knowles; Melanie Columbus; Sara Oliviero; Enrico Dall'Ara; George S Athwal; Louis M Ferreira
Journal:  Ann Biomed Eng       Date:  2020-06-22       Impact factor: 3.934

  1 in total

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