A fully automated, expert-perceptive image quality assessment system for whole-body [18F]FDG PET/CT
This fully automated IQA system provides a robust and comprehensive framework for the objective evaluation of clinical image quality. Furthermore, it demonstrates significant potential as an impartial, expert-level tool for standardised multicenter clinical IQA.
Authors
- Jun Xie (ORCID: https://orcid.org/0000-0003-1062-1102)
- Cong Zhang (ORCID: https://orcid.org/0000-0002-7430-8513)
- Ruimin Wang (ORCID: https://orcid.org/0000-0001-9948-2633)
- Xin Gao (ORCID: https://orcid.org/0000-0001-9906-0596)
- Yunchao Bao
- Xuebin Zheng
- Gang Feng (ORCID: https://orcid.org/0000-0002-8378-8248)
- Chuan He (ORCID: https://orcid.org/0000-0003-1314-2377)
- Jiahe Tian (ORCID: https://orcid.org/0000-0001-8656-0276)
- Pengfei Gu (ORCID: https://orcid.org/0000-0003-1160-9623)
Institutions
- China Aerospace Science and Technology Corporation (CN)
- Chinese PLA General Hospital (CN)
- Shanghai Medical Information Center (CN)
- PLA Academy of Military Science (CN)
Publication Details
- Journal
- EJNMMI Research
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1186/s13550-025-01238-2
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00