deep cascade wavelet network for CS-MRI.
Some code are copied from Souza, Roberto, R. Marc Lebel, and Richard Frayne. "A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction."
https://github.com/rmsouza01/CD-Deep-Cascade-MR-Reconstruction
The data is collected on https://sites.google.com/view/calgary-campinas-dataset
you should download the data, then located them to the corresponding folder.
How to use:
make a folder: Test, then put e14498s5_P60928.7.npy (one of patient in the calgary-campinas-dataset) into this folder.
make a folder: Models, then put 3 .hdf5 files into this folder.
make a folder: Data, put stats_fs_unet_norm_2c_2020.npy into this folder,then you can run test_calgary_campinas_cart_5.ipynb to see results.