Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI

Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI

Objective: To introduce an MRI in-plane resolution enhancement method that estimates High-Resolution (HR) MRIs from Low-Resolution (LR) MRIs. Method & Materials: Previous CNN-based MRI super-resolution methods cause loss of input image information due to the pooling layer. An Autoencoder-...

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Bibliographic Details
Main Authors: Seonyeong Park, H. Michael Gach, Siyong Kim, Suk Jin Lee, Yuichi Motai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Autoencoder
convolution neural network
deep learning
MRI
super resolution
Online Access:https://ieeexplore.ieee.org/document/9417192/

Internet

https://ieeexplore.ieee.org/document/9417192/

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