MicroCT Trabecular Bone Samples for Trabecular Thickness and Separation Measures

Trabecular bone samples from micro CT (Xradia scanner, isotropic voxel size: 17.59 um, image size: 100x100x100) that have been segmented. These images were used to measure mean trabecular bone thickness and separation using the ORMIR_XCT Python package. Results were compared to trabecular thickness and separation values obtained from the standard workflows using Image Processing Language (IPL, Scanco Medical). File naming is as follows:

BMLPL_XXX_XXX_SEG_SUB.nii

Trabecular bone segmentation image.

BMLPL_XXX_XXX_SEG_SUB_DT_THICK_CONVERT.nii

Distance transform for trabecular thickness obtained from IPL.

BMLPL_XXX_XXX_SEG_SUB_dt_py.nii

Distance transform for trabecular thickness obtained from Python.

BMLPL_XXX_XXX_SEG_SUB_DT_SP_CONVERT.nii

Distance transform for trabecular separation obtained from IPL.

BMLPL_XXX_XXX_SEG_SUB_inv_dt_py.nii

Distance transform for trabecular separation obtained from Python.