ArticlePloS one2017
Micro Finite Element models of the vertebral body: Validation of local displacement predictions.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 69 citations in OpenAlex.
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- Comparing the predictions of CT-based subject-specific finite element models of human metastatic vertebrae with digital volume correlation measurements.Biomechanics and modeling in mechanobiology · 2025Article
- A data-driven framework for developing a unified density-modulus relationship for the human lumbar vertebral body.Journal of the mechanical behavior of biomedical materials · 2025Article
- Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage.Frontiers in bioengineering and biotechnology · 2025Article
- In Situ Loading and Time-Resolved Synchrotron-Based Phase Contrast Tomography for the Mechanical Investigation of Connective Knee Tissues: A Proof-of-Concept Study.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Experimentally Validated Finite Element Analysis of Thoracic Spine Compression Fractures in a Porcine Model.Bioengineering (Basel, Switzerland) · 2024Article
- A Review of CT-Based Fracture Risk Assessment with Finite Element Modeling and Machine Learning.Current osteoporosis reports · 2022Review
- Toward an artificial intelligence-assisted framework for reconstructing the digital twin of vertebra and predicting its fracture response.International journal for numerical methods in biomedical engineering · 2022Article
- Digital volume correlation for the characterization of musculoskeletal tissues: Current challenges and future developments.Frontiers in bioengineering and biotechnology · 2022Review
- Properties of PMMA end cap holders affect FE stiffness predictions of vertebral specimens.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2021Article
- Article
- Local and global microarchitecture is associated with different features of bone biomechanics.Bone reports · 2020Article
- The Application of Digital Volume Correlation (DVC) to Evaluate Strain Predictions Generated by Finite Element Models of the Osteoarthritic Humeral Head.Annals of biomedical engineering · 2020Article
- Heterogeneous Strain Distribution in the Subchondral Bone of Human Osteoarthritic Femoral Heads, Measured with Digital Volume Correlation.Materials (Basel, Switzerland) · 2020Article
- Sub-trabecular strain evolution in human trabecular bone.Scientific reports · 2020Article
- Efficient materially nonlinearBiomechanics and modeling in mechanobiology · 2020Article
- Effect of size and location of simulated lytic lesions on the structural properties of human vertebral bodies, a micro-finite element study.Bone reports · 2020Article
- Effect of fabric on the accuracy of computed tomography-based finite element analyses of the vertebra.Biomechanics and modeling in mechanobiology · 2020Article
- Bone Damage Evolution Around Integrated Metal Screws Using X-Ray Tomography -Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The estimation of local and structural mechanical properties of bones with micro Finite Element (microFE) models based on Micro Computed Tomography images depends on the quality bone geometry is captured, reconstructed and modelled. The aim of this study was to validate microFE models predictions of local displacements for vertebral bodies and to evaluate the effect of the elastic tissue modulus on model's predictions of axial forces. Four porcine thoracic vertebrae were axially compressed in situ, in a step-wise fashion and scanned at approximately 39μm resolution in preloaded and loaded conditions. A global digital volume correlation (DVC) approach was used to compute the full-field displacements. Homogeneous, isotropic and linear elastic microFE models were generated with boundary conditions assigned from the interpolated displacement field measured from the DVC. Measured and predicted local displacements were compared for the cortical and trabecular compartments in the middle of the specimens. Models were run with two different tissue moduli defined from microindentation data (12.0GPa) and a back-calculation procedure (4.6GPa). The predicted sum of axial reaction forces was compared to the experimental values for each specimen. MicroFE models predicted more than 87% of the variation in the displacement measurements (R2 = 0.87-0.99). However, model predictions of axial forces were largely overestimated (80-369%) for a tissue modulus of 12.0GPa, whereas differences in the range 10-80% were found for a back-calculated tissue modulus. The specimen with the lowest density showed a large number of elements strained beyond yield and the highest predictive errors. This study shows that the simplest microFE models can accurately predict quantitatively the local displacements and qualitatively the strain distribution within the vertebral body, independently from the considered bone types.
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