SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

SARA-GAN: Self-Attention and Relative Average Discriminator Based Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

Research on undersampled magnetic resonance image (MRI) reconstruction can increase the speed of MRI imaging and reduce patient suffering. In this paper, an undersampled MRI reconstruction method based on Generative Adversarial Networks with the Self-Attention mechanism and the Relative Average disc...

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Bibliographic Details
Main Authors: Zhenmou Yuan, Mingfeng Jiang, Yaming Wang, Bo Wei, Yongming Li, Pin Wang, Wade Menpes-Smith, Zhangming Niu, Guang Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Neuroinformatics
Subjects:
MRI
reconstruction
deep learning
compressive sensing
neuroinformatics
artificial intelligence
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2020.611666/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2020.611666/full

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