Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions
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 geome...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2014-11-01
|
| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fbioe.2014.00058/full |
| _version_ | 1819126783312658432 |
|---|---|
| author | Todd L Bredbenner Travis D Eliason W. Loren Francis John M. McFarland Andrew eMerkle Daniel P Nicolella |
| author_facet | Todd L Bredbenner Travis D Eliason W. Loren Francis John M. McFarland Andrew eMerkle Daniel P Nicolella |
| author_sort | Todd L Bredbenner |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T08:01:31Z |
| format | Article |
| id | doaj.art-cb56011d6caf47fcaa32d1c7e795e0b3 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-12-22T08:01:31Z |
| publishDate | 2014-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-cb56011d6caf47fcaa32d1c7e795e0b32022-12-21T18:33:14ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852014-11-01210.3389/fbioe.2014.00058107724Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditionsTodd L Bredbenner0Travis D Eliason1W. Loren Francis2John M. McFarland3Andrew eMerkle4Daniel P Nicolella5Southwest Research InstituteSouthwest Research InstituteSouthwest Research InstituteSouthwest Research InstituteThe Johns Hopkins University Applied Physics LabSouthwest Research InstituteCervical 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.http://journal.frontiersin.org/Journal/10.3389/fbioe.2014.00058/fullValidationinjurycervical spineFinite Element Modelingverificationprobabilistic analysis |
| spellingShingle | Todd L Bredbenner Travis D Eliason W. Loren Francis John M. McFarland Andrew eMerkle Daniel P Nicolella Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions Frontiers in Bioengineering and Biotechnology Validation injury cervical spine Finite Element Modeling verification probabilistic analysis |
| title | Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions |
| title_full | Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions |
| title_fullStr | Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions |
| title_full_unstemmed | Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions |
| title_short | Development and validation of a statistical shape modeling-based finite element model of the cervical spine under low level multiple direction loading conditions |
| title_sort | development and validation of a statistical shape modeling based finite element model of the cervical spine under low level multiple direction loading conditions |
| topic | Validation injury cervical spine Finite Element Modeling verification probabilistic analysis |
| url | http://journal.frontiersin.org/Journal/10.3389/fbioe.2014.00058/full |
| work_keys_str_mv | AT toddlbredbenner developmentandvalidationofastatisticalshapemodelingbasedfiniteelementmodelofthecervicalspineunderlowlevelmultipledirectionloadingconditions AT travisdeliason developmentandvalidationofastatisticalshapemodelingbasedfiniteelementmodelofthecervicalspineunderlowlevelmultipledirectionloadingconditions AT wlorenfrancis developmentandvalidationofastatisticalshapemodelingbasedfiniteelementmodelofthecervicalspineunderlowlevelmultipledirectionloadingconditions AT johnmmcfarland developmentandvalidationofastatisticalshapemodelingbasedfiniteelementmodelofthecervicalspineunderlowlevelmultipledirectionloadingconditions AT andrewemerkle developmentandvalidationofastatisticalshapemodelingbasedfiniteelementmodelofthecervicalspineunderlowlevelmultipledirectionloadingconditions AT danielpnicolella developmentandvalidationofastatisticalshapemodelingbasedfiniteelementmodelofthecervicalspineunderlowlevelmultipledirectionloadingconditions |