A Deep Recursive Cascaded Convolutional Network for Parallel MRI

A Deep Recursive Cascaded Convolutional Network for Parallel MRI

Fast magnetic resonance imaging (MRI) has been attracting more and more research interests in recent years. With the emergence of big data and development of advanced deep learning algorithms, neural network has become a common and effective tool for image reconstruction in fast MRI. One main challe...

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Bibliographic Details
Main Authors: CHENG Hui-tao, WANG Shan-shan, KE Zi-wen, JIA Sen, CHENG Jing, QIU Zhi-lang, ZHENG Hai-rong, LIANG Dong
Format: Article
Language:zho
Published: Science Press 2019-12-01
Series:Chinese Journal of Magnetic Resonance
Subjects:
fast magnetic resonance imaging
parallel imaging
deep learning
convolutional neural network
prior knowledge
Online Access:http://121.43.60.238/bpxzz/EN/10.11938/cjmr20192721

Internet

http://121.43.60.238/bpxzz/EN/10.11938/cjmr20192721

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