Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator

@article{Qu2014MagneticRI,
  title={Magnetic resonance image reconstruction from undersampled measurements using a patch-based nonlocal operator},
  author={Xiaobo Qu and Yingkun Hou and Fan Lam and Di Guo and Jianhui Zhong and Zhong Chen},
  journal={Medical image analysis},
  year={2014},
  volume={18 6},
  pages={843-56}
}
Compressed sensing MRI (CS-MRI) has shown great potential in reducing data acquisition time in MRI. Sparsity or compressibility plays an important role to reduce the image reconstruction error. Conventional CS-MRI typically uses a pre-defined sparsifying transform such as wavelet or finite difference, which sometimes does not lead to a sufficient sparse representation for the image to be reconstructed. In this paper, we design a patch-based nonlocal operator (PANO) to sparsify magnetic… CONTINUE READING
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