AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI

AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI

Abstract Background To compare liver image quality and lesion detection using an AI-augmented T1-weighted sequence on hepatobiliary-phase gadoxetate-enhanced magnetic resonance imaging (MRI). Methods Fifty patients undergoing gadoxetate-enhanced MRI were recruited. Two T1-weighted Dixon sequences we...

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Bibliographic Details
Main Authors: Francesca Castagnoli, Mihaela Rata, Joshua Shur, Georgina Hopkinson, Alison Macdonald, David Stockton, Marcel Dominik Nickel, Stephan Kannengiesser, Christina Messiou, Dow-Mu Koh, Jessica Mary Winfield
Format: Article
Language:English
Published: SpringerOpen 2025-05-01
Series:European Radiology Experimental
Subjects:
Artifacts, Artificial intelligence
Liver neoplasms, Magnetic resonance imaging, Neural networks (computer)
Online Access:https://doi.org/10.1186/s41747-025-00582-1
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https://doi.org/10.1186/s41747-025-00582-1

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