Compressed sensing MRI with Bayesian dictionary learning

Xinghao Ding, John Paisley, Yue Huang, Xianbo Chen, Feng Huang, Xiao-ping Zhang
2013 2013 IEEE International Conference on Image Processing  
We present an inversion algorithm for magnetic resonance images (MRI) that are highly undersampled in k-space. The proposed method incorporates spatial finite differences (total variation) and patch-wise sparsity through in situ dictionary learning. We use the beta-Bernoulli process as a Bayesian prior for dictionary learning, which adaptively infers the dictionary size, the sparsity of each patch and the noise parameters. In addition, we employ an efficient numerical algorithm based on the
more » ... rnating direction method of multipliers (ADMM). We present empirical results on two MR images.
doi:10.1109/icip.2013.6738478 dblp:conf/icip/DingPHCHZ13 fatcat:3zktiferlzahvnzmoaytjicnee