CORE-Deblur: Parallel MRI Reconstruction by Deblurring using compressed sensing.

@article{Shimron2020COREDeblurPM,
  title={CORE-Deblur: Parallel MRI Reconstruction by Deblurring using compressed sensing.},
  author={E. Shimron and A. Webb and H. Azhari},
  journal={Magnetic resonance imaging},
  year={2020}
}
In this work we introduce a new method that combines Parallel MRI and Compressed Sensing (CS) for accelerated image reconstruction from subsampled k-space data. The method first computes a convolved image, which gives the convolution between a user-defined kernel and the unknown MR image, and then reconstructs the image by CS-based image deblurring, in which CS is applied for removing the inherent blur stemming from the convolution process. This method is hence termed CORE-Deblur. Retrospective… Expand
1 Citations
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