Haire T J, Hodgskinson R, Ganney P S, Langton C M
Centre for Metabolic Bone Disease Hull, Royal Hull Hospitals Trust and University of Hull, UK.
Med Eng Phys. 1998 Nov;20(8):588-93. doi: 10.1016/s1350-4533(98)00063-0.
The purpose of this study was to compare the structural parameters of fabric and fractal dimension as predictors of the Young's modulus of equine cancellous bone. Eight 15 mm cubes of cancellous bone were obtained from three equine third metacarpal bones. Young's modulus was determined for the three orthogonal directions. The fabric and fractal dimension were calculated for each of the six exposed faces of each cube. Fractal dimension plus porosity provided a higher explanatory power for Young's modulus (R2 = 78.7%. P < 0.0001) than fabric plus porosity (R2 = 69.2%, P < 0.0001). Fractal dimension was also significantly correlated with fabric (R2 = 53.8%, P < 0.0001). Although this novel method for combining fractal dimension data into a pseudo-directionally dependent predictor of Young's modulus requires further validation over a greater range of porosities and differing cancellous bone tissues, its potential has been demonstrated.
本研究的目的是比较作为马松质骨杨氏模量预测指标的结构参数（织物结构参数）和分形维数。从三根马第三掌骨获取了八个15毫米的松质骨立方体。测定了三个正交方向的杨氏模量。计算了每个立方体六个暴露面的织物结构参数和分形维数。与织物结构参数加孔隙率（R2 = 69.2%，P < 0.0001）相比，分形维数加孔隙率对杨氏模量的解释力更高（R2 = 78.7%，P < 0.0001）。分形维数也与织物结构参数显著相关（R2 = 53.8%，P < 0.0001）。尽管这种将分形维数数据组合成杨氏模量的伪方向依赖性预测指标的新方法需要在更大范围的孔隙率和不同的松质骨组织上进行进一步验证，但其潜力已得到证明。
