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

Our results constitute a first demonstration of the enhanced quality and clinical utility of the DLR-3DEPI-based QSM in MS.

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Publication Details

Journal
Frontiers in Neuroscience
Published
2025-07-16
DOI
https://doi.org/10.3389/fnins.2025.1544376
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Nina de Oliveira S. Siebenborn, Alessandro Cagol, Josef Pfeuffer, Matthias Weigel et al.
Frontiers in Neuroscience
Advanced MRI Techniques and Applications
article

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

Nina de Oliveira S. Siebenborn, Alessandro Cagol, Josef Pfeuffer, Matthias Weigel, Esther Ruberte, Dimitrios Gkotsoulias, Cristina Granziera
article en

Abstract

Our results constitute a first demonstration of the enhanced quality and clinical utility of the DLR-3DEPI-based QSM in MS.

Frontiers in NeuroscienceVol. 19
University of Basel (CH), University Hospital of Basel (CH), Siemens Healthineers (Germany) (DE), University of Genoa (IT)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Siemens Healthineers
Openalex Percentile: Top 74%
Advanced MRI Techniques and Applications
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A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis — Nina de Oliveira S. Siebenborn, Alessandro Cagol, et al. · Frontiers in Neuroscience (2025) | TGRS Research Map | TGRS