基于深度学习技术的磁共振成像研究进展

磁共振（MR）成像是当前应用于临床医学诊断的重要医学成像手段之一。如何缩短扫描时间进行快速成像一直以来都是MR成像领域中的热门研究问题。近年来，随着深度学习的兴起和快速发展，深度学习被广泛应用于医学图像处理领域中。目前基于深度学习的MR成像方法作为MR成像的新兴方向，相应的研究已取得了一系列进展。本文对几种常见的基于深度学习的MR成像方法进行归纳和简要分析，并对其研究前景进行了展望。

Advances in magnetic resonance imaging based on deep learning technology

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.