Xiao Furen
d167c1f7c7
Introduce a robust coordinate transformation system to manage the relationship between original CT space and rotated/standardized segmentation spaces. This includes a new directory hierarchy to separate unrotated crops from rotated outputs and utility functions for geometric mapping. Key changes: - Implement `imaging/transforms.py` to handle bounding box metadata, affine standardization, and coordinate mapping between spaces. - Restructure dataset output: unrotated segmentation files (binary, SDF, ROI, etc.) are now stored in a `<vol>/crop/` subdirectory to distinguish them from `<vol>/rotated/` aligned versions. - Add `level_file_path` utility to abstract file discovery across legacy (top-level) and new (crop-based) directory structures. - Enhance `seg_bone` to capture and export bounding box metadata (`bbox2`, `nn_bbox`, `bbox_orig`) into `transform.json`. - Implement `xfr_cbt_native.py` for mapping screw positions back to original CT space. - Update preprocessing and visualization scripts to support the new directory layout and transformation metadata. - Improve TinyDB metadata migration logic to prevent accidental corruption of existing database structures. |
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| .. | ||
| __init__.py | ||
| affine.py | ||
| nifti_io.py | ||
| orientation.py | ||
| preprocessing.py | ||
| resample.py | ||
| segmentation.py | ||
| transforms.py | ||