Estimation of material properties in the equine metacarpus with use of quantitative computed tomography.
Abstract: The purpose of this study was to investigate the relationships between data obtained from quantitative computed tomography and mechanical properties in the equine metacarpus, as measured in vitro in bone specimens. Three hundred and fifty-five bone specimens from the metacarpi of 10 horses were machined into right cylinders aligned with the long axis of the bone. A computed tomographic scan of the specimens, along with a Cann-Genant K2HPO4 calibration standard, was obtained. The specimens then were compressed to failure, and the elastic modulus, yield stress, yield strain, strain energy density at yield, ultimate stress, ultimate strain, and strain energy density at ultimate failure were calculated. The specimens were dried and ashed. Quantitative computed tomography-derived K2HPO4 equivalent density proved to be an excellent estimator (r2 > 0.9) of elastic modulus, yield stress, ultimate stress, wet density, dry density, and ash density; a moderately good estimator (0.4 < r2 < 0.9) of strain energy density at yield and at ultimate failure; and a poor estimator (r2 < 0.2) of yield strain and ultimate strain. It was concluded that the relationships between quantitative computed tomography data and mechanical properties of the equine metacarpus were strong enough to justify the use of these data in automated finite element modeling.
Publication Date: 1994-11-01 PubMed ID: 7983558DOI: 10.1002/jor.1100120610Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
- Research Support
- U.S. Gov't
- P.H.S.
Summary
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This research investigates the correlation between the properties of horse metacarpus (a part of the leg) obtained through quantitative computed tomography (QCT) and the actual mechanical properties of the bone specimens. The study shows that QCT is very effective in estimating several mechanical properties of the bone, justifying its use in computer-based modelling.
Methodology
- The researchers obtain 355 bone specimens from the metacarpi of ten horses and shape them into right cylinders aligned with the bone’s long axis.
- These specimens undergo a computed tomographic scan along with a Cann-Genant K2HPO4 calibration standard.
- After the scan, the specimens are subjected to compression till failure. Data on elastic modulus, yield stress, yield strain, strain energy density at yield, ultimate stress, ultimate strain, and strain energy density at ultimate failure are recorded.
- The specimens are then dried out and ashed (burned to leave mineral content only).
Findings
- The research finds that the QCT-derived K2HPO4 equivalent density offers a very good estimation (r2 > 0.9) of properties such as the elastic modulus, yield stress, ultimate stress, wet density, dry density, and ash density.
- For the strain energy density at yield and at ultimate failure, the estimation is moderately good (0.4 < r2 < 0.9).
- However, QCT estimates of yield strain and ultimate strain were found to be relatively poor (r2 < 0.2).
Conclusion
- The research concludes that the relationships between QCT data and mechanical properties of the equine metacarpus are robust enough to justify the usage of these data in automated finite element modeling.
- In other words, QCT provides a viable method for anticipating the stress and strain behaviours of the horse’s metacarpus, helping in developing computational models that can predict bone behaviors in the future.
Cite This Article
APA
Les CM, Keyak JH, Stover SM, Taylor KT, Kaneps AJ.
(1994).
Estimation of material properties in the equine metacarpus with use of quantitative computed tomography.
J Orthop Res, 12(6), 822-833.
https://doi.org/10.1002/jor.1100120610 Publication
Researcher Affiliations
- Veterinary Orthopedic Research Laboratory, School of Veterinary Medicine, University of California, Davis 95616-8732.
MeSH Terms
- Animals
- Biomechanical Phenomena
- Bone Density
- Female
- Horses / physiology
- Male
- Metacarpus / chemistry
- Metacarpus / diagnostic imaging
- Metacarpus / physiology
- Phosphates / analysis
- Potassium Compounds / analysis
- Regression Analysis
- Tomography, X-Ray Computed
Grant Funding
- AR08180 / NIAMS NIH HHS
Citations
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