AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI

AI improves consistency in regional brain volumes measured in ultra-low-field MRI and 3T MRI

This study compares volumetric measurements of various brain regions using different magnetic resonance imaging (MRI) modalities and deep learning models, specifically 3T MRI, ultra-low field (ULF) MRI at 64mT, and AI-enhanced ULF MRI using SynthSR and HiLoResGAN. The aim is to evaluate the alignmen...

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Bibliographic Details
Main Authors: Kh Tohidul Islam, Shenjun Zhong, Parisa Zakavi, Helen Kavnoudias, Shawna Farquharson, Gail Durbridge, Markus Barth, Andrew Dwyer, Katie L. McMahon, Paul M. Parizel, Richard McIntyre, Gary F. Egan, Meng Law, Zhaolin Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Neuroimaging
Subjects:
accessible MRI
ultra-low-field MRI
deep learning in neuroimaging
brain volume measurement
quantitative MRI analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fnimg.2025.1588487/full
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https://www.frontiersin.org/articles/10.3389/fnimg.2025.1588487/full

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