Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network

•A MRI denoising method based on the WGAN framework is proposed.•The ideas of residual network and autoencoder are imposed to maintain the structural details and edges, which are clinically important.•With a proper training procedure, our method yields competitive results with several state-of-art m...

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Vydáno v:	Medical image analysis Ročník 55; s. 165 - 180
Hlavní autoři:	Ran, Maosong, Hu, Jinrong, Chen, Yang, Chen, Hu, Sun, Huaiqiang, Zhou, Jiliu, Zhang, Yi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Netherlands Elsevier B.V 01.07.2019 Elsevier BV
Témata:	Algorithms Computer simulation Deep learning Feature extraction Generative adversarial networks Image analysis Image denoising Image processing Machine learning Magnetic resonance imaging Magnetic resonance imaging (MRI) Medical imaging NMR Noise reduction Nuclear magnetic resonance Perceptual loss Preservation Resonance Similarity Wasserstein GAN Deep learning Magnetic resonance imaging (MRI) Perceptual loss Wasserstein GAN Image denoising
ISSN:	1361-8415, 1361-8423, 1361-8423
On-line přístup:	Získat plný text
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