Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction

@article{Zhan2016FastMD,
  title={Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction},
  author={Zhifang Zhan and Jian-Feng Cai and Di Guo and Yunsong Liu and Zhong Chen and Xiaobo Qu},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2016},
  volume={63},
  pages={1850-1861}
}
Objective: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data. Methods: A fast orthogonal dictionary learning method is introduced into magnetic resonance image reconstruction to provide adaptive sparse representation of images. To enhance the sparsity, image is divided into classified patches according to the same geometrical direction and dictionary is trained within each class. A new… CONTINUE READING
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