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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Vydáno v:	Magnetic resonance in medicine Ročník 88; číslo 1; s. 464 - 475
Hlavní autoři:	Brink, Wyger M., Yousefi, Sahar, Bhatnagar, Prernna, Remis, Rob F., Staring, Marius, Webb, Andrew G.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Wiley Subscription Services, Inc 01.07.2022 John Wiley and Sons Inc
Témata:	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
On-line přístup:	Získat plný text
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