B
B1 inhomogeneity
machine learning
quantitative brain MRI
subspace modeling
Journal
Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
revised:
24
05
2023
received:
06
04
2023
accepted:
30
05
2023
medline:
31
8
2023
pubmed:
22
6
2023
entrez:
22
6
2023
Statut:
ppublish
Résumé
To develop a machine learning-based method for estimation of both transmitter and receiver B A subspace model-based machine learning method was proposed for estimation of B In both phantom and healthy subject data, the proposed method produced high-quality B This work presents a novel method to estimate B
Substances chimiques
Protons
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2089-2101Informations de copyright
© 2023 International Society for Magnetic Resonance in Medicine.
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