Assessment of AI-accelerated T2-weighted brain MRI, based on clinical ratings and image quality evaluation
Our results suggest that while T2<sub>(DR)</sub> may be clinically applicable for a diagnostic setting, it does not fully match the quality of high-standard conventional T2<sub>(CN)</sub>, MRI acquisitions.
Authors
- Siegfried Trattnig (ORCID: https://orcid.org/0000-0003-1623-3303)
- Patric Kienast (ORCID: https://orcid.org/0000-0001-6407-9561)
- Simon Robinson (ORCID: https://orcid.org/0000-0001-7463-5162)
- Lukas Haider (ORCID: https://orcid.org/0000-0002-1556-1770)
- Gregor J. Kasprian (ORCID: https://orcid.org/0000-0003-3858-3347)
- Frederik Barkhof (ORCID: https://orcid.org/0000-0003-3543-3706)
- Ammar Mallouhi (ORCID: https://orcid.org/0000-0003-2232-7330)
- Ivana Pogledić (ORCID: https://orcid.org/0000-0001-5465-3005)
- Julian Niklas Nonninger
Institutions
- UCL Biomedical Research Centre (GB)
- University College London (GB)
- Medical University of Vienna (AT)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112123
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36