Furen Xiao
16b9828d15
- Added `--clip-ct LO HI` argument to clip CT intensities before registration and scoring, improving A/B comparisons. - Implemented `_clip_image` function to handle intensity clipping of images. - Updated registration functions to utilize CT clipping where beneficial, specifically in `register_niftyreg` and `register_synthmorph`. - Enhanced `fixed_moving` function to ensure CT is always treated as the fixed image. - Introduced Docker support for NiftyReg v2.1.1, including a Dockerfile for building the image. - Updated documentation and help messages to reflect new features and usage instructions. - Adjusted evaluation criteria for registration quality to account for intensity clipping.
13 lines
157 B
Text
13 lines
157 B
Text
data
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runs/
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results/
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logs/
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nnu/
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runs_bench/
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runs_nnu/
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runs_monai/
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__pycache__/
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elastix/
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niftyreg/NiftyReg-Ubuntu-v2.1.1.zip
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niftyreg/NiftyReg-Ubuntu-v2.1.1/
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