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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 to Estimate Cadaveric Femur Cortical Strains During Fracture Testing Using Digital Image Correlation
Timothy Rossman1, Susheil Uthamaraj1, Asghar Rezaei2
1Division of Engineering, Mayo Clinic.
Journal of Visualized Experiments : Jove
|October 11, 2017
Summary
Digital image correlation quantifies cortical strain on cadaveric femurs during mechanical testing. This method aids in identifying fracture initiation and validating finite element analysis models.
Area of Science:
- Biomechanics
- Materials Science
- Orthopedic Surgery
Background:
- Mechanical testing of cadaveric femurs is crucial for understanding bone strength.
- Accurate measurement of surface deformation is essential for validating computational models.
- Previous methods may lack the temporal resolution to capture fracture initiation dynamics.
Purpose of the Study:
- To describe a protocol for estimating cortical strain using digital image correlation (DIC).
- To apply DIC to high-speed video of cadaveric femoral surfaces during mechanical testing.
- To enable precise identification of fracture initiation and support validation of Quantitative Computed Tomography-based Finite Element Analysis (QCT/FEA) models.
Main Methods:
- A DIC protocol was developed utilizing high-speed video capture (up to 12,000 frames/s).
- The femoral surface was prepared with a high-contrast fiduciary marker pattern (white primer with speckled black paint).
- Image analysis involved tracking surface deformation in interrogation windows to compute temporal strain.
Main Results:
- The DIC method successfully estimated cortical strain from high-speed video of femoral mechanical testing.
- Surface strain data provided insights into the temporal progression of deformation.
- Key images capturing the fracture event were extracted for detailed analysis.
Conclusions:
- DIC is a viable optical method for measuring cortical strain on bone surfaces.
- This technique facilitates the identification of fracture initiation sites.
- The strain data can be used to validate biomechanical models of proximal femur fracture strength.

