Abstract

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Title:: Advances in magnetic resonance imaging based on deep learning technology

Author(s):: LUO Lingli; WANG Yuanjun; Institute of Medical Imaging Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Keywords:: Keywords: magnetic resonance imaging deep learning image reconstruction review

Abstract:: Abstract: Magnetic resonance (MR) imaging is one of the most important medical imaging methods currently used in clinical medical diagnosis. How to shorten the scanning time for accelerated MR imaging has always been a hot research issue in the field of MR imaging . In recent years, with the rise and rapid development of deep learning, deep learning has been widely used in medical image processing. At present, deep learning-based MR imaging has emerged as an emerging direction of MR imaging, and lots of progress has been made in the related researches. Herein several common deep learning-based MR imaging are summarized and analyzed briefly, and their research prospects are discussed.