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A Method to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
Published on: September 14, 2017
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A method for fracture toughness measurement in trabecular bone using computed tomography, image correlation and
Liye Yan1, Ahmet Cinar1, Shaocheng Ma2
1Department of Materials, University of Oxford, Parks Road, Oxford, OX1 3PH, UK.
Summary
Measuring trabecular bone fracture toughness is challenging. A new method uses X-ray computed tomography and digital volume correlation to accurately assess bone fracture resistance, crucial for understanding osteoporosis effects.
Area of Science:
- Biomedical Engineering
- Materials Science
- Orthopedics
Background:
- Osteoporosis and other diseases compromise load-bearing trabecular bone strength.
- Accurate measurement of trabecular bone fracture toughness is limited due to specimen size and material porosity.
- Understanding fracture resistance is vital for developing effective osteoporosis treatments.
Purpose of the Study:
- To introduce a novel, reliable method for measuring 3D fracture toughness of trabecular bone.
- To overcome limitations of current testing methods for porous bone specimens.
- To enable objective identification of crack propagation criteria.
Main Methods:
- Utilized digital volume correlation (DVC) on X-ray computed tomographs to capture 3D displacement fields.
- Employed phase congruency analysis for objective identification of crack shape and size.
- Integrated finite element (FE) simulations with elastic properties to derive fracture toughness.
Main Results:
- Successfully demonstrated a new approach for quantifying 3D displacement fields in trabecular bone.
- Enabled objective and precise identification of crack characteristics within bone specimens.
- Provided a pathway to derive fracture toughness criteria from experimental data and simulations.
Conclusions:
- The developed DVC and phase congruency method offers a reliable technique for assessing trabecular bone fracture toughness.
- This approach addresses the challenges associated with testing small, porous bone samples.
- Findings contribute to a better understanding of bone fragility in diseases like osteoporosis.
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