Clinical evaluation of super-resolution for brain MRI images based on generative adversarial networks

Clinical evaluation of super-resolution for brain MRI images based on generative adversarial networks

In magnetic resonance imaging (MRI), reducing long scan times is an urgent issue that could be addressed with super-resolution (SR) techniques. Most of the SR networks using deep neural networks (DNNs) have been evaluated only based on numeric metrics, and the image restoration quality for individua...

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Bibliographic Details
Main Authors:	Yasuhiko Terada, Tomoki Miyasaka, Ai Nakao, Satoshi Funayama, Shintaro Ichikawa, Tomohiro Takamura, Daiki Tamada, Hiroyuki Morisaka, Hiroshi Onishi
Format:	Article
Language:	English
Published:	Elsevier 2022-01-01
Series:	Informatics in Medicine Unlocked
Subjects:	Deep neural networks Super-resolution Clinical evaluation Generative adversarial networks Brain MRI
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352914822001721

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