A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI Reconstruction

A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI Reconstruction

Compressed sensing (CS) can speed up the magnetic resonance imaging (MRI) process and reconstruct high-quality images from under-sampled <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-space data. However, traditional CS-MRI suffers from...

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Bibliographic Details
Main Authors: Guangyuan Li, Jun Lv, Chengyan Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Compressed sensing
magnetic resonance imaging
generative adversarial network
spatial and channel-wise attention
cyclic consistency loss
deep residual block
Online Access:https://ieeexplore.ieee.org/document/9447721/

Internet

https://ieeexplore.ieee.org/document/9447721/

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