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Proximal femur bone strength estimated by a computationally fast finite element analysis in a sideways fall configuration
- Source :
- Journal of Biomechanics. 46:1231-1236
- Publication Year :
- 2013
- Publisher :
- Elsevier BV, 2013.
-
Abstract
- Finite element (FE) analysis based on quantitative computed tomography (QCT) images is an emerging tool to estimate bone strength in a specific patient or specimen; however, it is limited by the computational power required and the associated time required to generate and solve the models. Thus, our objective was to develop a fast, validated method to estimate whole bone structural stiffness and failure load in addition to a sensitivity analysis of varying boundary conditions. We performed QCT scans on twenty fresh-frozen proximal femurs (age: 77±13 years) and mechanically tested the femurs in a configuration that simulated a sideways fall on the hip. We used custom software to generate the FE models with boundary conditions corresponding to the mechanical tests and solved the linear models to estimate bone structural stiffness and estimated failure load. For the sensitivity analysis, we varied the internal rotation angle of the femoral neck from -30° to 45° at 15° intervals and estimated structural stiffness at each angle. We found both the FE estimates of structural stiffness (R(2)=0.89, p
- Subjects :
- Male
musculoskeletal diseases
Finite Element Analysis
Biomedical Engineering
Biophysics
Poison control
medicine.disease_cause
Models, Biological
Weight-bearing
Weight-Bearing
medicine
Humans
Orthopedics and Sports Medicine
Femur
Boundary value problem
Sensitivity (control systems)
Quantitative computed tomography
Aged
Mathematics
Aged, 80 and over
medicine.diagnostic_test
business.industry
Rehabilitation
Linear model
Stiffness
Structural engineering
Middle Aged
Finite element method
Accidental Falls
Female
medicine.symptom
business
Software
Subjects
Details
- ISSN :
- 00219290
- Volume :
- 46
- Database :
- OpenAIRE
- Journal :
- Journal of Biomechanics
- Accession number :
- edsair.doi.dedup.....de568e8f977057edbcb85441a02de10d