Personalized local SAR prediction for parallel transmit neuroimaging at 7T from a single T1‐weighted dataset

Purpose Parallel RF transmission (PTx) is one of the key technologies enabling high quality imaging at ultra‐high fields (≥7T). Compliance with regulatory limits on the local specific absorption rate (SAR) typically involves over‐conservative safety margins to account for intersubject variability, w...

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Veröffentlicht in:	Magnetic resonance in medicine Jg. 88; H. 1; S. 464 - 475
Hauptverfasser:	Brink, Wyger M., Yousefi, Sahar, Bhatnagar, Prernna, Remis, Rob F., Staring, Marius, Webb, Andrew G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Wiley Subscription Services, Inc 01.07.2022 John Wiley and Sons Inc
Schlagworte:	Artificial neural networks body models Customization Data acquisition Datasets Deep learning Image segmentation Magnetic Resonance Imaging - methods Medical imaging Neural networks Neural Networks, Computer Neuroimaging Phantoms, Imaging Predictions PTx Quadratures Safety margins SAR subject‐specific s—Computer Processing and Modeling body models subject-specific deep learning PTx SAR
ISSN:	0740-3194, 1522-2594, 1522-2594
Online-Zugang:	Volltext
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