MRI Super-Resolution Analysis via MRISR: Deep Learning for Low-Field Imaging

MRI Super-Resolution Analysis via MRISR: Deep Learning for Low-Field Imaging

This paper presents a novel MRI super-resolution analysis model, MRISR. Through the utilization of generative adversarial networks for the estimation of degradation kernels and the injection of noise, we have constructed a comprehensive dataset of high-quality paired high- and low-resolution MRI ima...

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Bibliographic Details
Main Authors: Yunhe Li, Mei Yang, Tao Bian, Haitao Wu
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Information
Subjects:
magnetic resonance imaging
super-resolution
generative adversarial networks
Online Access:https://www.mdpi.com/2078-2489/15/10/655

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https://www.mdpi.com/2078-2489/15/10/655

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