MR image reconstruction using deep learning: evaluation of network structure and loss functions

BACKGROUND: To review and evaluate approaches to convolutional neural network (CNN) reconstruction for accelerated cardiac MR imaging in the real clinical context. METHODS: Two CNN architectures, Unet and residual network (Resnet) were evaluated using quantitative and qualitative assessment by radio...

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Vydáno v:Quant Imaging Med Surg
Hlavní autoři: Ghodrati, Vahid, Shao, Jiaxin, Bydder, Mark, Zhou, Ziwu, Yin, Wotao, Nguyen, Kim-Lien, Yang, Yingli, Hu, Peng
Médium: Artigo
Jazyk:Inglês
Vydáno: AME Publishing Company 2019
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Original Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6785508/
https://ncbi.nlm.nih.gov/pubmed/31667138
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims.2019.08.10
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