Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder–Decoder Network

Brain MRI Super-Resolution Using 3D Dilated Convolutional Encoder–Decoder Network

The spatial resolution of magnetic resonance images (MRI) is limited by the hardware capacity, sampling time, signal-to-noise ratio (SNR), and patient comfort. Recently, deep convolutional neural networks (CNN) have achieved impressive success in MRI super-resolution (SR) reconstruction. Increasing...

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Bibliographic Details
Main Authors: Jinglong Du, Lulu Wang, Yulu Liu, Zexun Zhou, Zhongshi He, Yuanyuan Jia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Magnetic resonance image
super-resolution reconstruction
dilated convolutional neural networks
encoder-decoder network
Online Access:https://ieeexplore.ieee.org/document/8967055/

Internet

https://ieeexplore.ieee.org/document/8967055/

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