High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss

High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss

Magnetic resonance imaging (MRI) is an important medical imaging modality, but its acquisition speed is quite slow due to the physiological limitations. Recently, super-resolution methods have shown excellent performance in accelerating MRI. In some circumstances, it is difficult to obtain high-reso...

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Bibliographic Details
Main Authors: Guangyuan Li, Jun Lv, Xiangrong Tong, Chengyan Wang, Guang Yang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Super-resolution reconstruction
pelvic
generative adversarial network
cyclic loss
attention
Online Access:https://ieeexplore.ieee.org/document/9493874/

Internet

https://ieeexplore.ieee.org/document/9493874/

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