Estimation of material properties in the equine metacarpus with use of quantitative computed tomography

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.

[1]  W C Hayes,et al.  The use of quantitative computed tomography to estimate risk of fracture of the hip from falls. , 1990, The Journal of bone and joint surgery. American volume.

[2]  P. Joseph,et al.  A Method for Correcting Bone Induced Artifacts in Computed Tomography Scanners , 1978, Journal of computer assisted tomography.

[3]  E. Schneider,et al.  Estimation of mechanical properties of cortical bone by computed tomography , 1991, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[4]  Frank Linde,et al.  The effect of specimen geometry on the mechanical behaviour of trabecular bone specimens. , 1992, Journal of biomechanics.

[5]  R. Brooks,et al.  Beam hardening in X-ray reconstructive tomography , 1976 .

[6]  B. Hasegawa,et al.  Effect of bone distribution on vertebral strength: assessment with patient-specific nonlinear finite element analysis. , 1991, Radiology.

[7]  W C Hayes,et al.  Trabecular bone modulus and strength can depend on specimen geometry. , 1993, Journal of biomechanics.

[8]  T. Husby,et al.  Bone mineral content and mechanical strength. An ex vivo study on human femora at autopsy. , 1988, Clinical orthopaedics and related research.

[9]  S M Bentzen,et al.  Mechanical strength of tibial trabecular bone evaluated by X-ray computed tomography. , 1987, Journal of biomechanics.

[10]  W. Hayes,et al.  The compressive behavior of bone as a two-phase porous structure. , 1977, The Journal of bone and joint surgery. American volume.

[11]  G U Rao,et al.  Systematic errors in bone-mineral measurements by quantitative computed tomography. , 1987, Medical physics.

[12]  D. Burr,et al.  Stiffness of compact bone: effects of porosity and density. , 1988, Journal of biomechanics.

[13]  H. Genant,et al.  Precise measurement of vertebral mineral content using computed tomography. , 1980, Journal of computer assisted tomography.

[14]  R. Martin,et al.  Determinants of the mechanical properties of bones. , 1991, Journal of biomechanics.

[15]  E F Rybicki,et al.  In vivo and analytical studies of forces and moments in equine long bones. , 1977, Journal of biomechanics.

[16]  J H Keyak,et al.  Automated three-dimensional finite element modelling of bone: a new method. , 1990, Journal of biomedical engineering.

[17]  F. Linde,et al.  The effect of constraint on the mechanical behaviour of trabecular bone specimens. , 1989, Journal of biomechanics.

[18]  W. Hayes,et al.  Biomechanical properties of the proximal femur determined in vitro by single‐energy quantitative computed tomography , 1989, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[19]  T. Keller,et al.  Young's modulus, bending strength, and tissue physical properties of human compact bone , 1990, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[20]  H K Genant,et al.  Quantitative computed tomography for prediction of vertebral fracture risk. , 1985, Bone.

[21]  C T Rubin,et al.  Characterizing bone strain distributions in vivo using three triple rosette strain gages. , 1992, Journal of biomechanics.

[22]  S. Goldstein,et al.  The elastic moduli of human subchondral, trabecular, and cortical bone tissue and the size-dependency of cortical bone modulus. , 1990, Journal of biomechanics.

[23]  D. N. Pinder,et al.  In vivo tendon tension and bone strain measurement and correlation. , 1974, Journal of biomechanics.

[24]  D M Nunamaker,et al.  Fatigue fractures in thoroughbred racehorses: Relationships with age, peak bone strain, and training , 1990, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[25]  W A Kalender,et al.  A new calibration phantom for quantitative computed tomography. , 1987, Medical physics.

[26]  J. P. Stonestrom,et al.  A Framework for Spectral Artifact Corrections in X-Ray CT , 1981, IEEE Transactions on Biomedical Engineering.

[27]  S. Timoshenko,et al.  Mechanics of Materials, 3rd Ed. , 1991 .

[28]  A Ascenzi,et al.  Mechanical similarities between alternate osteons and cross-ply laminates. , 1976, Journal of biomechanics.

[29]  E J Mills,et al.  In vivo measurement of bone strain in the horse. , 1975, American journal of veterinary research.

[30]  M M Goodsitt,et al.  Conversion relations for quantitative CT bone mineral densities measured with solid and liquid calibration standards. , 1992, Bone and mineral.

[31]  C T Rubin,et al.  Functional strains and cortical bone adaptation: epigenetic assurance of skeletal integrity. , 1990, Journal of biomechanics.

[32]  F. Linde,et al.  X-ray quantitative computed tomography: the relations to physical properties of proximal tibial trabecular bone specimens. , 1989, Journal of biomechanics.

[33]  C. Cann,et al.  Quantitative CT for determination of bone mineral density: a review. , 1988, Radiology.

[34]  F. Linde,et al.  The underestimation of Young's modulus in compressive testing of cancellous bone specimens. , 1991, Journal of biomechanics.

[35]  W. Hayes,et al.  Prediction of vertebral body compressive fracture using quantitative computed tomography. , 1985, The Journal of bone and joint surgery. American volume.

[36]  F. Linde,et al.  Compressive axial strain distributions in cancellous bone specimens. , 1989, Journal of biomechanics.