Fanwen Wang1, Hui Zhang1, Jiawei Han1, Fei Dai1, Yuxiang Dai1, Weibo Chen2, Chengyan Wang3, and He Wang1,3
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China
1Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, 2Philips Healthcare, Shanghai, China, 3Human Phenome Institute, Fudan University, Shanghai, China
This study proposed a novel MAGnitude Image to Complex (MAGIC) Network to reconstruct images using deep learning with limited number of training data.
Fig. 1: The pipeline of MAGIC-Net.
Fig. 4: The reconstruction of MAGIC-Net and CG-SENSE of b
= 0 s/mm2 and b =1000 s/mm2 under different
sampling trajectories.