Large vessel vasculitis evaluation by CTA: impact of deep-learning reconstruction and “dark blood” technique
Dark blood CTA improves image quality and provides better aortic wall visualization. Deep-learning CTA presented higher quality and subjective scores compared to HIR. Combination of dark blood and deep-learning reconstruction obtained the best overall performance.
Authors
- Min Xu (ORCID: https://orcid.org/0000-0002-8804-0431)
- Zhengyu Jin
- Huadan Xue (ORCID: https://orcid.org/0000-0002-4278-2165)
- Zhiwei Wang (ORCID: https://orcid.org/0009-0001-2522-0865)
- Yun Wang (ORCID: https://orcid.org/0000-0003-0695-8861)
- Yining Wang (ORCID: https://orcid.org/0000-0003-3193-2487)
- Daming Zhang (ORCID: https://orcid.org/0000-0003-0280-2093)
- Xiaomei Yang (ORCID: https://orcid.org/0000-0003-0173-7808)
- Ning Ding (ORCID: https://orcid.org/0000-0003-0970-9975)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1186/s13244-024-01843-0
- Citations
- 1
- Primary Topic
- Vasculitis and related conditions
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- Peking Union Medical College Hospital