Data-driven self-calibration and reconstruction for non-cartesian wave-encoded single-shot fast spin echo using deep learning.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date: Jul 19, 2019

Abstract

BACKGROUND: Current self-calibration and reconstruction methods for wave-encoded single-shot fast spin echo imaging (SSFSE) requires long computational time, especially when high accuracy is needed.

Authors

  • Feiyu Chen
    Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Joseph Y Cheng
  • Valentina Taviani
    Global MR Applications and Workflow, GE Healthcare, Menlo Park, California, USA.
  • Vipul R Sheth
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Ryan L Brunsing
    Department of Radiology, Stanford University, Stanford, California.
  • John M Pauly
    Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Shreyas S Vasanawala

Keywords

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