Motion Correction for Brain MRI Using Deep Learning and a Novel Hybrid Loss Function

Purpose: Motion-induced magnetic resonance imaging (MRI) artifacts can deteriorate image quality and reduce diagnostic accuracy, but motion by human subjects is inevitable and can even be caused by involuntary physiological movements. Deep-learning-based motion correction methods might provide a sol...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Lei Zhang, Xiaoke Wang, Michael Rawson, Radu Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst
Format:	Article
Language:	English
Published:	MDPI AG 2024-05-01
Subjects:	MRI motion correction deep learning brain
Online Access:	https://www.mdpi.com/1999-4893/17/5/215