Highly accelerated multishot echo planar imaging through synergistic machine learning and joint reconstruction.

Journal: Magnetic resonance in medicine
PMID: 31106902

Abstract

PURPOSE: To introduce a combined machine learning (ML)- and physics-based image reconstruction framework that enables navigator-free, highly accelerated multishot echo planar imaging (msEPI) and demonstrate its application in high-resolution structural and diffusion imaging.

Authors

  • Berkin Bilgic
    Department of Radiology, Harvard Medical School, Boston, MA, USA.
  • Itthi Chatnuntawech
    National Nanotechnology Center, Pathum Thani, Thailand.
  • Mary Kate Manhard
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Qiyuan Tian
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Congyu Liao
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Siddharth S Iyer
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Stephen F Cauley
    A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Susie Y Huang
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Jonathan R Polimeni
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Lawrence L Wald
    Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts.
  • Kawin Setsompop
    Department of Radiology, Harvard Medical School, Boston, MA, USA.

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