Ultra-fast single-sequence magnetic resonance imaging (MRI) for lower back pain: diagnostic performance of a deep learning T2-Dixon protocol
Protocol<sub>abb-DL</sub> provides diagnostic performance comparable to Protocol<sub>std</sub> for degenerative lumbar spine pathologies while reducing acquisition time by up to 84%.
Authors
- Thierno D. Diallo (ORCID: https://orcid.org/0000-0002-2017-1857)
- Simon Wiedemann (ORCID: https://orcid.org/0000-0001-5144-3758)
- Fabian Bamberg (ORCID: https://orcid.org/0000-0002-7460-3942)
- Dominik M. Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
- Ralph Strecker (ORCID: https://orcid.org/0000-0002-8232-8952)
- Maximilian Frederik Russe (ORCID: https://orcid.org/0000-0003-3187-2429)
- Thomas Mayrhofer (ORCID: https://orcid.org/0000-0001-6287-5185)
- Zeynep Berkarda (ORCID: https://orcid.org/0000-0002-0829-4598)
- Alexander Rau (ORCID: https://orcid.org/0000-0001-5881-6043)
- Jakob Weiss (ORCID: https://orcid.org/0000-0002-0336-8519)
Institutions
- Siemens (Germany) (DE)
- University of Freiburg (DE)
- University of Mannheim (DE)
- Heidelberg University (DE)
- University Medical Center Freiburg (DE)
- University Hospital Heidelberg (DE)
- Siemens Healthineers (Germany) (DE)
- University Medical Centre Mannheim (DE)
Publication Details
- Journal
- Clinical Radiology
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1016/j.crad.2025.106987
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00