A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction

A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction

We propose a dual-domain deep learning technique for accelerating compressed sensing magnetic resonance image reconstruction. An advanced convolutional neural network with residual connectivity and an attention mechanism was developed for frequency and image domains. First, the sensor domain subnetw...

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Bibliographic Details
Main Authors: Md. Biddut Hossain, Ki-Chul Kwon, Rupali Kiran Shinde, Shariar Md Imtiaz, Nam Kim
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
MRI reconstruction
attention mechanism
compressed sensing
data augmentation
deep learning
dual residual CNN
Online Access:https://www.mdpi.com/2075-4418/13/7/1306

Internet

https://www.mdpi.com/2075-4418/13/7/1306

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