Enhanced Neurovascular Imaging Using Ultra-High-Resolution CT and Deep Learning–Based Image Reconstruction
Deep learning-based reconstruction of UHR-CTA images in neurovascular imaging significantly improves overall image quality, vascular delineation, SNR, and CNR compared with HIR alone.
Authors
- Marius Frenzel (ORCID: https://orcid.org/0000-0003-2858-811X)
- Timo Uphaus (ORCID: https://orcid.org/0000-0001-5526-0510)
- Karim Haioun (ORCID: https://orcid.org/0000-0002-0383-804X)
- Antoine Sanner (ORCID: https://orcid.org/0000-0002-4917-9529)
- Sebastian Steinmetz (ORCID: https://orcid.org/0009-0007-5316-2969)
- Marc Alexander Brockmann (ORCID: https://orcid.org/0000-0002-4514-4468)
- Mario A. Abello Mercado
- Marianne Hahn
- Andrea Kronfeld
- Ahmed E. Othman
Institutions
- Canon (Japan) (JP)
- Johannes Gutenberg University Mainz (DE)
- Technische Universität Darmstadt (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-12-23
- DOI
- https://doi.org/10.3174/ajnr.a8964
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00