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Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues

机译:平行磁共振成像重构的深度学习方法:目前方法,趋势和问题的调查

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  • 来源
    《IEEE Signal Processing Magazine》 |2020年第1期|128-140|共13页
  • 作者单位

    NYU Sch Med Ctr Biomed Imaging New York NY 10003 USA|IEEE Piscataway NJ 08854 USA;

    Imperial Coll London Daniel Rueckerts Grp Dept Comp London England;

    IEEE Piscataway NJ 08854 USA|Univ Minnesota Dept Elect & Comp Engn Minneapolis MN USA;

    Univ Minnesota Dept Radiol Minneapolis MN USA;

    Univ Bonn Bonn Germany|Graz Univ Technol Inst Comp Graph & Vision Graz Austria|Graz Univ Technol Comp Sci Graz Austria|Austrian Inst Technol Ctr Vis Automat & Control Seibersdorf Austria;

    NYU Sch Med Dept Radiol New York NY USA|NYU Sch Med Bernard & Irene Schwartz Ctr Biomed Imaging New York NY USA|NYU Sch Med Ctr Adv Imaging Innovat & Res New York NY USA|ISMRM Concord CA USA|NIH Study Sect Biomed Imaging Technol Bethesda MD USA|Acad Radiol & Biomed Imaging Res Washington DC USA;

    IEEE Piscataway NJ 08854 USA|Univ Minnesota Minneapolis MN USA;

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