Development and Validation of a Statistical Shape Modeling-Based Finite Element Model of the Cervical Spine Under Low-Level Multiple Direction Loading Conditions
| Autor: | Daniel P. Nicolella, Travis D. Eliason, Todd L. Bredbenner, W. Loren Francis, Andrew C. Merkle, John McFarland |
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| Rok vydání: | 2014 |
| Předmět: |
Histology
injury Computer science Property (programming) lcsh:Biotechnology Biomedical Engineering Bioengineering cervical spine lcsh:TP248.13-248.65 Validation Methods Article Probabilistic analysis of algorithms Simulation Parametric statistics business.industry Probabilistic logic Bioengineering and Biotechnology Experimental data Structural engineering probabilistic analysis Finite element method Parametric model verification business Material properties Finite Element Modeling statistical shape modeling Biotechnology |
| Zdroj: | Frontiers in Bioengineering and Biotechnology, Vol 2 (2014) Frontiers in Bioengineering and Biotechnology |
| ISSN: | 2296-4185 |
| DOI: | 10.3389/fbioe.2014.00058 |
| Popis: | Cervical spinal injuries are a significant concern in all trauma injuries. Recent military conflicts have demonstrated the substantial risk of spinal injury for the modern warfighter. Finite element models used to investigate injury mechanisms often fail to examine the effects of variation in geometry or material properties on mechanical behavior. The goals of this study were to model geometric variation for a set of cervical spines, to extend this model to a parametric finite element model, and, as a first step, to validate the parametric model against experimental data for low-loading conditions. Individual finite element models were created using cervical spine (C3-T1) CT data for five male cadavers. Statistical shape modeling was used to generate a parametric finite element model incorporating variability of spine geometry, and soft tissue material property variation was also included. The probabilistic loading response of the parametric model was determined under flexion-extension, axial rotation, and lateral bending and validated by comparison to experimental data. Based on qualitative and quantitative comparison of the experimental loading response and model simulations, we suggest that the model performs adequately under relatively low-level loading conditions in multiple loading directions. In conclusion, statistical shape modeling methods coupled with finite element analyses within a probabilistic framework, along with the ability to statistically validate the overall model performance, provide innovative and important steps towards describing the differences in vertebral morphology, spinal curvature, and variation in material properties. We suggest that these methods, with additional investigation and validation under injurious loading conditions, will lead to understanding and mitigating the risks of injury in the spine and other musculoskeletal structures. |
| Databáze: | OpenAIRE |
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