Radiation Dose Reduction and Image Quality Improvement of UHR CT of the Neck by Novel Deep-learning Image Reconstruction
AI-based reconstruction algorithms in ultra-high resolution head and neck imaging provide excellent image quality while achieving very low radiation exposure.
Authors
- Nils F. Grauhan
- Ann-Kathrin Dapper
- Sebastian Altmann (ORCID: https://orcid.org/0009-0005-5919-4289)
- Maximilian Krüger (ORCID: https://orcid.org/0000-0003-0438-1851)
- Andrea Kronfeld (ORCID: https://orcid.org/0000-0003-1814-5649)
- Bilal Al‐Nawas (ORCID: https://orcid.org/0000-0002-8665-5803)
- Roman Paul (ORCID: https://orcid.org/0009-0001-8983-6140)
- Ahmed E. Othman (ORCID: https://orcid.org/0000-0002-3827-8695)
- Marc Alexander Brockmann (ORCID: https://orcid.org/0000-0002-4514-4468)
- Laura Leukert
- Dominique Alya Messerle
Institutions
- Johannes Gutenberg University Mainz (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
Publication Details
- Journal
- Clinical Neuroradiology
- Published
- 2025-06-30
- DOI
- https://doi.org/10.1007/s00062-025-01532-5
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universitätsmedizin der Johannes Gutenberg-Universität Mainz