- Implemented `qa_label_interpolation.py` to evaluate the registration of T1c and CT images using various methods (rigid, affine, and SyN).
- The script generates warped TV images, visualizations, and summary metrics for each registration method.
- Outputs include PNG figures for visual comparison, a summary JSON file with metrics, and cached registration transforms.
- Added functionality for volume preservation checks and detailed logging of processing steps.
Extend registration_pipelines and bench_registration with stock antspyx
ANTs presets (SyNRA, SyN, Repro sr/br, QuickRepro sr/br) plus the legacy
Rigid -> SyNOnly workflow, and update the deformable benchmark
documentation with follow-up ANTs-variant runs and results.
