Deep-Learning Accelerated Vessel Wall Imaging Using T1-SPACE at Ultra-High Field Strength MRI
DLBIR＝deep learning-based image reconstruction; SNR＝signal-to-noise ratio; CNR＝contrast-to-noise ratio; VWI＝Vessel Wall Imaging; DL＝ deep-learning; SOC＝ standard-of-care.
Authors
- John C. Benson (ORCID: https://orcid.org/0000-0002-4038-5422)
- Vincent Ern Yao Chan (ORCID: https://orcid.org/0000-0002-3155-9910)
- Pranjal Rai (ORCID: https://orcid.org/0009-0008-3796-8273)
- John Huston (ORCID: https://orcid.org/0000-0003-0584-9460)
- Steven Anthony Messina (ORCID: https://orcid.org/0000-0002-0861-8628)
- Peter Kollasch
- Girish Bathla (ORCID: https://orcid.org/0000-0003-3170-242X)
- Andrew Fagan (ORCID: https://orcid.org/0000-0002-5528-9732)
- M. Nickel (ORCID: https://orcid.org/0000-0001-6141-5857)
- Kara Dueker
Institutions
- Siemens (Germany) (DE)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2025-11-10
- DOI
- https://doi.org/10.3174/ajnr.a9097
- Citations
- 1
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36