Deep Learning in Knee MRI: A Prospective Study to Enhance Efficiency, Diagnostic Confidence and Sustainability
P4S2 DL acceleration offers significant advancements over P4 and P2 in knee MRI, combining superior image quality and improved anatomical delineation at significant time reduction. Its improvements in anatomical delineation, energy consumption, and workforce optimization make P4S2 a significant step forward.
Authors
- Jan‐Erik Scholtz (ORCID: https://orcid.org/0000-0003-4631-6126)
- Scherwin Mahmoudi (ORCID: https://orcid.org/0000-0002-4020-1873)
- Daniel Dahm
- Salah Al-Saleh
- Tommaso D’Angelo (ORCID: https://orcid.org/0000-0003-0004-6378)
- Vitali Koch (ORCID: https://orcid.org/0000-0001-6915-5906)
- P Konrad (ORCID: https://orcid.org/0009-0001-2999-2758)
- Christian Booz
- Thomas Joseph Vogl (ORCID: https://orcid.org/0000-0001-5218-1075)
- Christof M. Sommer (ORCID: https://orcid.org/0000-0002-7953-8481)
- Dominik M. Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
- Ralph Strecker (ORCID: https://orcid.org/0000-0002-8232-8952)
- Leon David Gruenewald (ORCID: https://orcid.org/0000-0001-7959-5008)
- Jennifer Gotta (ORCID: https://orcid.org/0000-0002-0524-6574)
- Simon Bernatz (ORCID: https://orcid.org/0000-0002-7758-8100)
- Katrin Eichler
- Simon S. Martin (ORCID: https://orcid.org/0000-0003-3347-4520)
- Philipp Reschke (ORCID: https://orcid.org/0009-0006-9123-7581)
- Hong Qiao (ORCID: https://orcid.org/0000-0002-4360-5881)
- Levent A Solim
- Sebastian M Haberkorn (ORCID: https://orcid.org/0000-0003-3100-2167)
- Ahmed Ait Bachir
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
Publication Details
- Journal
- Academic Radiology
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.acra.2025.03.018
- Citations
- 10
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 13.60