Deep-learning reconstructed 3D MRI for comprehensive knee assessment: Comparison with a multisequence 2D protocol at 1.5 T
Our results suggest mostly comparable performance between a single 3D-PDFS and a multisequence 2D protocol using DLR for knee assessment, with the exception of few structures.
Authors
- Jonas Kroschke (ORCID: https://orcid.org/0000-0003-1225-3016)
- Thomas Rauer (ORCID: https://orcid.org/0000-0003-4775-1103)
- Lisa Jungblut (ORCID: https://orcid.org/0000-0003-2078-4730)
- Falko Ensle (ORCID: https://orcid.org/0000-0002-1097-404X)
- Fabio Zecca
- Carina Obermüller
- Elizabet Nikolova (ORCID: https://orcid.org/0009-0005-0025-8532)
- Karolina Pawlus
Institutions
- University of Cagliari (IT)
- University of Zurich (CH)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-09-27
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112458
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00