RNLFNet: Residual non-local Fourier network for undersampled MRI reconstruction-Reference-Cited by-同舟云学术

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RNLFNet: Residual non-local Fourier network for undersampled MRI reconstruction

Published:2023-05 Issue: Volume:83 Page:104632
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zhou Liu,Zhu Minjie,Xiong Dongping,Ouyang Lijun,Ouyang Yan,Chen Zhongze,Zhang Xiaozhi

Funder

National Natural Science Foundation of China

Education Department of Hunan Province

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference65 articles.

1. Deep magnetic resonance image reconstruction: inverse problems meet neural networks;Liang;IEEE Signal Process Mag.,2020

2. Deep learning methods for parallel magnetic resonance image reconstruction;Knoll;IEEE Signal Process Mag.,2020

3. Global and local constrained parallel MRI reconstruction by exploiting dual sparsity and self-consistency;Park;Biomed. Signal Process. Control,2021

4. SENSE: sensitivity encoding for fast MRI;Pruessmann;Magn. Reson. Med.,1999

5. Generalized auto-calibrating partially parallel acquisitions (GRAPPA);Griswild;Magn. Reson. Med.,2002

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