Comparison of Reconstruction Performances Between Deep Learning and Iterative Methods in MR Compressed Sensing

A deep residual learning convolutional neural network (CNN) is applied to improve image quality and speed up the reconstruction of compressed sensing magnetic resonance imaging. The reconstruction performances of proposed method are compared with iterative reconstruction methods.