Yiqun Lin, Zhongjin Luo, Wei Zhao, Xiaomeng Li, "Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction," MICCAI 2023. [paper]
@inproceedings{lin2023learning,
title="Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction",
author="Lin, Yiqun and Luo, Zhongjin and Zhao, Wei and Li, Xiaomeng",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023",
pages="13--23",
year="2023",
publisher="Springer Nature Switzerland"
}
torch 1.8.0
numpy, opencv-python, SimpleITK
Please follow the scripts (4 steps) given in ./data/knee_cbct/*.npy to conduct preprocessing. For detailed instructions, please refer to ./data/knee_cbct/README.md. The processed data will be organized as follows.
├── ./data/knee_cbct/
│ ├── config.yaml
│ ├── info.json
│ ├── processed/
│ │ └── FL-140400.nii.gz
│ ├── blocks/
│ │ ├── blocks.npy
│ │ ├── FL-140400/
│ │ │ ├── block_0.npy
│ │ │ ├── block_1.npy
│ │ │ └── ...
│ ├── projections_normalized/
│ │ └── FL-140400.pickle
Follow the scripts given in ./scripts/*.sh to conduct training and testing.
This repository is released under MIT License (see LICENSE file for details).
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