Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI

@article{Huang2014BayesianND,
  title={Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI},
  author={Yue Huang and John William Paisley and Qin Lin and Xinghao Ding and Xueyang Fu and Xiao-Ping Zhang},
  journal={IEEE Transactions on Image Processing},
  year={2014},
  volume={23},
  pages={5007-5019}
}
We develop a Bayesian nonparametric model for reconstructing magnetic resonance images (MRIs) from highly undersampled \(k \) -space data. We perform dictionary learning as part of the image reconstruction process. To this end, we use the beta process as a nonparametric dictionary learning prior for representing an image patch as a sparse combination of dictionary elements. The size of the dictionary and patch-specific sparsity pattern are inferred from the data, in addition to other dictionary… 
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113 Citations

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