Myelin water imaging data analysis in less than one minute

Myelin water imaging data analysis in less than one minute

Purpose: Based on a deep learning neural network (NN) algorithm, a super fast and easy to implement data analysis method was proposed for myelin water imaging (MWI) to calculate the myelin water fraction (MWF). Methods: A NN was constructed and trained on MWI data acquired by a 32-echo 3D gradient a...

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Bibliographic Details
Main Authors: Hanwen Liu, Qing-San Xiang, Roger Tam, Adam V. Dvorak, Alex L. MacKay, Shannon H. Kolind, Anthony Traboulsee, Irene M. Vavasour, David K.B. Li, John K. Kramer, Cornelia Laule
Format: Article
Language:English
Published: Elsevier 2020-04-01
Series:NeuroImage
Subjects:
Deep learning
Neural network
Myelin water imaging
Myelin water fraction
Quantitative MRI
Multiple sclerosis
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920300380

Internet

http://www.sciencedirect.com/science/article/pii/S1053811920300380

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