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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Detalhes bibliográficos

Principais autores:	Lei Zhang, Xiaoke Wang, Michael Rawson, Radu Balan, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-05-01
coleção:	Algorithms
Assuntos:	MRI motion correction deep learning brain
Acesso em linha:	https://www.mdpi.com/1999-4893/17/5/215
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