This repository contains code for reconstructing CT images from sparse-view projection data. The code is written in Python and uses the PyTorch and MONAI libraries. Check our final report and slides and webpage📜.
Run the reconstruction script:
python train_grad.py -c config/hyperparam_grad.json
or
python train_sino.py -c config/hyperparam_sino.json
To evaluate the model:
python evaluate_grad.py -c config/hyperparam_grad.json
or
python evaluate_sino.py -c config/hyperparam_sino.json