Corpus ID: 204904512

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction

@article{Sriram2019GrappaNetCP,
  title={GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction},
  author={Anuroop Sriram and Jure Zbontar and Tullie Murrell and C. Lawrence Zitnick and Aaron Defazio and Daniel K. Sodickson},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.12325}
}
  • Anuroop Sriram, Jure Zbontar, +3 authors Daniel K. Sodickson
  • Published 2019
  • Computer Science, Engineering
  • ArXiv
  • Magnetic Resonance Image (MRI) acquisition is an inherently slow process which has spurred the development of two different acceleration methods: acquiring multiple correlated samples simultaneously (parallel imaging) and acquiring fewer samples than necessary for traditional signal processing methods (compressed sensing). Both methods provide complementary approaches to accelerating the speed of MRI acquisition. In this paper, we present a novel method to integrate traditional parallel imaging… CONTINUE READING

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