2017
Compressed sensing MRI using double sparsity with additional training images
ICASSP 2017accepted
The compressed sensing using dictionary learning has led to state-of-the-art results for magnetic resonance imaging (MRI) reconstruction from highly under-sampled measurements. Dictionary learning had been considered time-consuming especially when the patch size or the number of training patches is…