Published April 24, 2024
| Version v1
Dataset
Open
MicroCT Trabecular Bone Samples for Trabecular Thickness and Separation Measures
Description
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.
Files
Files
(242.3 MB)
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Additional details
Software
- Repository URL
- https://github.com/SpectraCollab/ORMIR_XCT
- Programming language
- Python