Artifact-free fat-water separation in Dixon MRI using deep learning

Artifact-free fat-water separation in Dixon MRI using deep learning

Abstract Chemical-shift encoded MRI (CSE-MRI) is a widely used technique for the study of body composition and metabolic disorders, where derived fat and water signals enable the quantification of adipose tissue and muscle. The UK Biobank is acquiring whole-body Dixon MRI (a specific implementation...

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Bibliographic Details
Main Authors: Nicolas Basty, Marjola Thanaj, Madeleine Cule, Elena P. Sorokin, Yi Liu, E. Louise Thomas, Jimmy D. Bell, Brandon Whitcher
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:Journal of Big Data
Subjects:
Neural networks
Magnetic resonance imaging
Body composition
Artifact reduction
Online Access:https://doi.org/10.1186/s40537-022-00677-1

Internet

https://doi.org/10.1186/s40537-022-00677-1

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