Testing two predictions for fracture load using computer models of trabecular bone.
Aging induces several types of architectural changes in trabecular bone including thinning, increased levels of anisotropy, and perforation. It has been determined, on the basis of analysis of mathematical models, that reduction in fracture load caused by perforation is significantly higher than those due to equivalent levels of thinning or anisotropy. The analysis has also provided an expression which relates the fractional reduction of strength tau to the fraction of elements nu that have been removed from a network. Further, it was proposed that the ratio Gamma of the elastic constant of a sample and its linear response at resonance can be used as a surrogate for tau. Experimental validation of these predictions requires following architectural changes in a given sample of trabecular bone; techniques to study such changes using microcomputed tomography are only beginning to be available. In the present study, we use anatomically accurate computer models constructed from digitized images of bone samples for the purpose. Images of healthy bone are subjected to successive levels of synthetic degradation via surface erosion. Computer models constructed from these images are used to calculate their fracture load and other mechanical properties. Results from these computations are shown to be consistent with predictions derived from the analysis of mathematical models. Although the form of tau(nu) is known, parameters in the expression are expected to be sample-specific, and hence nu is not a reliable predictor of strength. We provide an example to demonstrate this. In contrast, analysis of model networks shows that the linear part of tau(Gamma) depends only on the structure of trabecular bone. Computations on models constructed from samples of iliac crest trabecular bone are shown to be in agreement with this assertion. Since Gamma can be computed from a vibrational assessment of bone, we argue that the latter can be used to introduce new surrogates for bone strength and hence diagnostic tools for osteoporosis.
Liebschner
Michael A K
MA
Department of Bioengineering, Rice University, Houston, Texas, USA.
Müller
Ralph
R
Wimalawansa
Sunil J
SJ
Rajapakse
Chamith S
CS
Gunaratne
Gemunu H
GH
D015519:Bone Density; D001842:Bone and Bones / Q000503:physiopathology*; D003198:Computer Simulation; D004548:Elasticity; D050723:Fractures, Bone / Q000503:physiopathology*; D006801:Humans; D066298:In Vitro Techniques; D008954:Models, Biological; D013314:Stress, Mechanical; D014732:Vibration; D016474:Weight-Bearing