A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis

A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis

BackgroundQuantitative susceptibility mapping (QSM) has emerged as a promising paraclinical tool in multiple sclerosis (MS). This retrospective pilot study aims to evaluate whether a recently proposed deep learning-assisted, k-space-operating reconstruction, denoising and super-resolution technique...

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Bibliographic Details
Main Authors: Dimitrios G. Gkotsoulias, Matthias Weigel, Alessandro Cagol, Nina de Oliveira Soares Siebenborn, Esther Ruberte, Josef Pfeuffer, Cristina Granziera
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Neuroscience
Subjects:
quantitative susceptibility mapping (QSM)
gradient-recalled-echo (GRE)
3-dimensionalsegmented-echo planar imaging (3DEPI)
multiple sclerosis (MS)
susceptibility (χ)
central vein sign (CVS)
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1544376/full
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https://www.frontiersin.org/articles/10.3389/fnins.2025.1544376/full

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