Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance

Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance

Ze-Peng Ma,1,2,* Yue-Ming Zhu,3,* Xiao-Dan Zhang,4 Yong-Xia Zhao,1 Wei Zheng,3 Shuang-Rui Yuan,1 Gao-Yang Li,1 Tian-Le Zhang1 1Department of Radiology, Affiliated Hospital of Hebei University/ Clinical Medical College, Hebei University, Baoding, 071000, People’s Republic of China; 2H...

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Bibliographic Details
Main Authors: Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL
Format: Article
Language:English
Published: Dove Medical Press 2025-02-01
Series:Journal of Multidisciplinary Healthcare
Subjects:
cardiac magnetic resonance
deep learning
generative adversarial networks
image quality
motion artifacts
Online Access:https://www.dovepress.com/investigating-the-use-of-generative-adversarial-networks-based-deep-le-peer-reviewed-fulltext-article-JMDH
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