Awesome

GloReDi

This repository contains the implementation of "Learning to Distill Global Representation for Sparse-View CT" in ICCV2023. It includes two main components:

(1) simulator protocol for Sparse-View CT: A simulator protocol for sparse-view CT during the training process in CUDA. Designed as an easy-to-use wrapper, it is compatible with various networks and datasets.

(2) Fourier network and distillation framework: An effective image-domain-only method for sparse-view CT reconstruction.

Updates

clean code and init commit

Data Preparation

The DeepLesion dataset is available at DeepLesion, and the AAPM-Myo dataset can be downloaded from CT Clinical Innovation Center.

Requirements

To set up the environment, please refer to requirements.txt. Notably, we utilize torch radon for efficient projection and forward-back projection. Follow these steps for installation, ensuring compatibility with the specified versions of CUDA and Torch:

git clone https://github.com/matteo-ronchetti/torch-radon.git
cd torch-radon
python setup.py install

Training and Testing

Please refer to RUN.sh in the src directory for examples of training and testing

Citation

If you find our work and code helpful, please kindly cite our paper:

@InProceedings{GloReDi_2022,
    author    = {Li, Zilong and Ma, Chenglong and Chen, Jie and Zhang, Junping and Shan, Hongming},
    title     = {Learning to Distill Global Representation for Sparse-View CT},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    month     = {October},
    year      = {2023},
    pages     = {21196-21207}
}

Also, welcome to visit our other works FreeSeed.

@inproceedings{ma2023freeseed,
  title={FreeSeed: Frequency-band-aware and Self-guided Network for Sparse-view CT Reconstruction},  
  author={Ma, Chenglong and Li, Zilong and Zhang, Yi and Zhang, Junping and Shan, Hongming}, 
  booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023},
  year={2023}
}

Contact

If you have any question, please feel free to concat me at longzilipro@gmail.com