Super-Resolution Reconstruction of 3T-Like Images From 0.35T MRI Using a Hybrid Attention Residual Network

Super-Resolution Reconstruction of 3T-Like Images From 0.35T MRI Using a Hybrid Attention Residual Network

Magnetic resonance (MR) images from low-field scanners present poorer signal-to-noise ratios (SNRs) than those from high-field scanners at the same spatial resolution. To obtain a clinically acceptable SNR, radiologists operating the low-field scanners use a much smaller acquisition matrix than high...

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Bibliographic Details
Main Authors: Jialiang Jiang, Fulang Qi, Huiyu Du, Jianan Xu, Yufu Zhou, Dayong Gao, Bensheng Qiu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
MR images
super-resolution
035T MRI
3T MRI
hybrid attention residual network
subjective-mean-opinion-score
Online Access:https://ieeexplore.ieee.org/document/9722854/

Internet

https://ieeexplore.ieee.org/document/9722854/

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