Clinical validation of fully automated cartilage transverse relaxation time (T2) and thickness analysis using quantitative DESS magnetic resonance imaging
Fully-automated, CNN-based analysis showed similar sensitivity to differences in laminar cartilage T2 as manual segmentation, allowing automated qDESS-analyses to be applied to larger datasets.
Authors
- F. Eckstein (ORCID: https://orcid.org/0000-0002-2014-8278)
- W. Wirth (ORCID: https://orcid.org/0000-0002-2297-8283)
- Simon Herger (ORCID: https://orcid.org/0000-0001-5207-2100)
- Annegret Mündermann (ORCID: https://orcid.org/0000-0002-6472-1689)
- Oliver Bieri (ORCID: https://orcid.org/0000-0002-6755-5495)
- A. Wisser (ORCID: https://orcid.org/0000-0003-4068-3515)
- S. Maschek
Institutions
- University of Basel (CH)
- Paracelsus Medical University (AT)
- University Hospital of Basel (CH)
- Chondrometrics (Germany) (DE)
Publication Details
- Journal
- Magnetic Resonance Materials in Physics Biology and Medicine
- Published
- 2025-02-24
- DOI
- https://doi.org/10.1007/s10334-025-01227-5
- Citations
- 2
- Primary Topic
- Knee injuries and reconstruction techniques
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- National Science Foundation
- European Commission
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Bundesministerium für Bildung und Forschung
- Paracelsus Medizinische Privatuniversität
- Eurostars