Sub-1-min relaxation-enhanced non-contrast non-triggered cervical MRA using compressed SENSE with deep learning reconstruction in healthy volunteers
DRKS00030210 (German Clinical Trials Register; https://drks.de/ ) KEY POINTS: Deep learning reconstruction enables sub-1-min non-contrast-enhanced MRA of extracranial arteries. Acceleration without deep learning reconstruction causes inferior image quality. Acceleration with deep learning reconstruction exceeds, in part, the clinical standard.
Authors
- Carsten Gietzen (ORCID: https://orcid.org/0000-0002-2354-3847)
- Christoph Kabbasch (ORCID: https://orcid.org/0000-0003-3712-2258)
- Lenhard Pennig (ORCID: https://orcid.org/0000-0002-6606-9313)
- Robert Hahnfeldt (ORCID: https://orcid.org/0000-0001-7997-3216)
- Juliana Tristram (ORCID: https://orcid.org/0000-0003-0987-7987)
- Robert Terzis (ORCID: https://orcid.org/0009-0007-1068-8477)
- Jan Paul Janßen (ORCID: https://orcid.org/0000-0003-0980-4606)
- Lukas Goertz
- Thomas Dratsch (ORCID: https://orcid.org/0000-0003-4014-7763)
- Kilian Weiss (ORCID: https://orcid.org/0000-0003-4295-4585)
- Roman Johannes Gertz (ORCID: https://orcid.org/0000-0002-6414-4105)
- Stephan Skornitzke (ORCID: https://orcid.org/0000-0002-6759-6326)
- Kenan Kaya
- Cansin Goezdas
Institutions
- University of Cologne (DE)
- University Hospital Cologne (DE)
- Philips (Germany) (DE)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1186/s41747-025-00560-7
- Citations
- 2
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Universität zu Köln