DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

This paper proposes a multi-channel image reconstruction method, named DeepcomplexMRI, to accelerate parallel MR imaging with residual complex convolutional neural network. Different from most existing works which rely on the utilization of the coil sensitivities or prior information of predefined t...

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Veröffentlicht in:	Magnetic resonance imaging 2020-05, Vol.68, p.136-147
Hauptverfasser:	Wang, Shanshan, Cheng, Huitao, Ying, Leslie, Xiao, Taohui, Ke, Ziwen, Zheng, Hairong, Liang, Dong
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional neural network Deep learning Fast MR imaging Parallel imaging Prior knowledge
Online-Zugang:	Volltext
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