A Digital Model to Simulate Effects of Bone Architecture Variations on Texture at Spatial Resolutions of CT, HR-pQCT, and μCT Scanners

Table 2

𝑅² values of the linear regression analyses for the voxel sizes 90 𝜇m and 250 𝜇m relative to the reference voxel size (10 𝜇m). Significant linear correlations (𝑃<0.05) are highlighted in bold. In parenthesis: slope ratios obtained from the linear regressions of a given graph in Figure 5 or Figure 6 and the corresponding graph in Figure 3.

Model changes	PLM		BFM		RLM		SMM
Voxel size/𝜇m	90	250	90	250	90	250	90	250
Entropy	0.00 (−4.4)	0.54 (−7.7)	0.97 (0.6)	0.99 (0.8)	0.48 (−0.9)	0.57 (−0.5)	0.98 (0.2)	0.97 (0.7)
Global inhomogeneity	0.48 (0.2)	0.80 (0.0)	1.00 (1.1)	1.00 (1.6)	0.86 (0.3)	0.98 (0.2)	0.97 (4.0)	0.95 (6.2)
Local inhomogeneity	1.00 (−0.1)	0.71 (1.0)	0.16 (0.0)	1.00 (0.0)	0.57 ( 0.1)	0.87 (0.0)	0.99 (−0.7)	0.96 (0.8)
Local anisotropy	0.82 (1.1)	0.99 (−0.4)	0.98 (0.0)	0.90 (0.1)	0.92 (−0.2)	0.90 (0.1)	0.99 (0.3)	0.96 (−0.6)
Variogram slope	1.00 (−0.4)	0.99 (0.2)	0.99 (0.0)	0.98 (0.0)	0.18 (0.1)	0.02 (0.0)	0.95 (1.6)	0.94 (−13.1)