Applications of a deep learning method for anti-aliasing and super-resolution in MRI

Magnetic resonance (MR) images with both high resolutions and high signal-to-noise ratios (SNRs) are desired in many clinical and research applications. However, acquiring such images takes a long time, which is both costly and susceptible to motion artifacts. Acquiring MR images with good in-plane...

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Détails bibliographiques
Publié dans:Magn Reson Imaging
Auteurs principaux: Zhao, Can, Shao, Muhan, Carass, Aaron, Li, Hao, Dewey, Blake E., Ellingsen, Lotta M., Woo, Jonghye, Guttman, Michael A., Blitz, Ari M., Stone, Maureen, Calabresi, Peter A., Halperin, Henry, Prince, Jerry L.
Format: Artigo
Langue:Inglês
Publié: 2019
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Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7094770/
https://ncbi.nlm.nih.gov/pubmed/31247254
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.038
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