Compressed-Sensing Magnetic Resonance Image Reconstruction Using an Iterative Convolutional Neural Network Approach

Compressed-Sensing Magnetic Resonance Image Reconstruction Using an Iterative Convolutional Neural Network Approach

Convolutional neural networks (CNNs) demonstrate excellent performance when employed to reconstruct the images obtained by compressed-sensing magnetic resonance imaging (CS-MRI). Our study aimed to enhance image quality by developing a novel iterative reconstruction approach that utilizes image-base...

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Bibliographic Details
Main Authors: Fumio Hashimoto, Kibo Ote, Takenori Oida, Atsushi Teramoto, Yasuomi Ouchi
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
magnetic resonance imaging
compressed sensing
image reconstruction
convolutional neural networks
deep learning
Online Access:https://www.mdpi.com/2076-3417/10/6/1902

Internet

https://www.mdpi.com/2076-3417/10/6/1902

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