Improved magnetic resonance myelin water imaging using multi-channel denoising convolutional neural networks (MCDnCNN)

Xu, G., He, Y., Yu, Q., He, H., Zhao, Z., Fan, M., Li, J., & Xu, D. (2022). Improved magnetic resonance myelin water imaging using multi-channel denoising convolutional neural networks (MCDnCNN). Quantitative Imaging in Medicine and Surgery, 12(3), 1716–1737. https://doi.org/10.21037/qims-21-404
Authors:
Guojun Xu
Yongquan He
Qiurong Yu
Hongjian He
Zhiyong Zhao
Mingxia Fan
Jianqi Li
Dongrong Xu
Affiliated Authors:
Guojun Xu
Dongrong Xu
Columbia Affiliation:
Author Keywords:
magnetic resonance imaging (mri)
multi-channel denoising convolutional neural network (mcdncnn) models
multiple gradient recalled echo (mgre)
myelin water fraction (mwf)
elink
Publication Type:
Article
Unique ID:
10.21037/qims-21-404
DOI:
10.21037/qims-21-404
Journal:
Quantitative Imaging in Medicine and Surgery
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

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