A sensitivity analysis of the volumetric spatial decomposition algorithm.

Recently, we proposed a new computational approach for the volumetric spatial decomposition of a three-dimensional bone structure into its basic rod and plate elements. This method was based on an image skeletonization approach, where two model parameters were used to identify an ideal skeleton. The goal of this study was to estimate the sensitivity of local morphometric indices to these two model parameters. Our results showed that the rod derived indices behaved more smoothly than plate derived indices, which suggests that rod derived indices are more trustworthy. The results also demonstrated that it was reasonable to reduce the model to only one parameter by setting the noise parameter n to twice the value of the slenderness parameter s. In conclusion, we found that local morphometric indices are reliable measures showing large differences between samples and thus may shed new light on structural differences of trabecular bone in a local fashion by adequately choosing one single optimization parameter.