Deep Learning Reconstruction of Diffusion-weighted MRI Enables Shorter Examination Times While Maintaining Image Quality in Head and Neck Imaging
DL reconstruction of head and neck DWI is feasible, significantly reducing examination time without compromising image quality or diagnostic confidence. This technique enables accelerated and effective diagnostic DWI of the head and neck.
Authors
- T. Benkert
- Jan Michael Brendel
- Judith Herrmann (ORCID: https://orcid.org/0000-0003-1535-8980)
- Sebastian Altmann (ORCID: https://orcid.org/0009-0005-5919-4289)
- K Nikolaou
- S Gassenmaier
- Sebastian Werner (ORCID: https://orcid.org/0000-0003-4542-6462)
- Haidara Almansour
- Andrea Kronfeld
- Elisabeth Weiland
- Ahmed E. Othman
- Christoph Neatu
- Omar Darwich
- Saif Afat
- Vitali Koch
Institutions
- Goethe University Frankfurt (DE)
- Johannes Gutenberg University Mainz (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- University Children's Hospital Tübingen (DE)
- University Hospital Frankfurt (DE)
- Siemens Healthineers (Germany) (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Clinical Neuroradiology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1007/s00062-025-01604-6
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00