Integrated Deep Learning-Based Intracranial Vessel Wall Imaging with DANTE Preparation: Feasibility and Technical Performance
Adding DANTE preparation to deep-learning accelerated IC-VWI was associated with fewer flow-related artifacts and a clearer depiction of the vessel lumen, which may support a more accurate assessment of intracranial vasculopathies and aneurysms. Potential gains were accompanied by a modest wall-visualization penalty, which is not unexpected with a flow-suppression pulse.
Authors
- Vincent Ern Yao Chan (ORCID: https://orcid.org/0000-0002-3155-9910)
- Alto Stemmer (ORCID: https://orcid.org/0000-0002-3016-3498)
- Pranjal Rai (ORCID: https://orcid.org/0009-0008-3796-8273)
- M Nickel
- Felix E. Diehn (ORCID: https://orcid.org/0000-0001-9458-8017)
- Steven Anthony Messina (ORCID: https://orcid.org/0000-0002-0861-8628)
- Peter Kollasch
- Girish Bathla (ORCID: https://orcid.org/0000-0003-3170-242X)
- Victoria M. Silvera
- Paul M. Farnsworth
- John C. Benson
Institutions
- Siemens Healthcare (United States) (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2026-02-14
- DOI
- https://doi.org/10.3174/ajnr.a9232
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.00