Reconstruct MR images from its undersampled measurements using Deep Cascade of Convolutional Neural Networks. This repository contains the implementation of DC-CNN using Theano and Lasagne and the simple demo on toy dataset borrowed from <http://mridata.org>. Note that the library requires the dev version of Lasagne and Theano, as well as pygpu backend for using CUFFT Library.

Usage:

python main_2d.py --num_epoch 5 --batch_size 2

If you used this code for your work, you must cite the following work:

Schlemper, J., Caballero, J., Hajnal, J. V., Price, A., & Rueckert, D. A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction. Information Processing in Medical Imaging (IPMI), 2017

The paper is also available on arXiv: <https://arxiv.org/pdf/1703.00555.pdf>