SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

There is a growing demand for high-resolution (HR) medical images for both clinical and research applications. Image quality is inevitably traded off with acquisition time, which in turn impacts patient comfort, examination costs, dose, and motion-induced artifacts. For many image-based tasks, incre...

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Detalles Bibliográficos
Autores principales: Zhang, Kuan, Hu, Haoji, Philbrick, Kenneth, Conte, Gian Marco, Sobek, Joseph D., Rouzrokh, Pouria, Erickson, Bradley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027099/
https://www.ncbi.nlm.nih.gov/pubmed/35448707
http://dx.doi.org/10.3390/tomography8020073

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9027099/
https://www.ncbi.nlm.nih.gov/pubmed/35448707
http://dx.doi.org/10.3390/tomography8020073

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