Transcatheter aortic valve implantation (TAVI) planning CT on 8‐cm detector scanners: Proper dose control by combined use of two deep‐learning reconstruction algorithms
Reduced-dose TAVI planning CT is feasible on 8-cm detector scanners by using deep-learning reconstruction algorithms, showing promise of implementing the examination in imaging settings that are more commonly accessible.
Authors
- Jiamo Zhang
- Zhaojun Ding (ORCID: https://orcid.org/0000-0003-0218-5136)
- Yongxia Zhou (ORCID: https://orcid.org/0000-0002-4931-2318)
- Kunyao Li (ORCID: https://orcid.org/0000-0002-8822-9971)
- Yonghong Du
- Xiaohong Zheng (ORCID: https://orcid.org/0009-0005-8570-8802)
- Rong Zhou (ORCID: https://orcid.org/0000-0001-9128-9599)
- Guozhi Zhang (ORCID: https://orcid.org/0000-0002-4819-3580)
- Qiang Shao (ORCID: https://orcid.org/0000-0002-5392-4632)
- Jing Li (ORCID: https://orcid.org/0009-0006-4451-9332)
Institutions
- United Imaging Healthcare (China) (CN)
- Chongqing Medical and Pharmaceutical College (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1002/acm2.70224
- Citations
- 3
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 4.16