The application of deep learning-based artificial intelligence algorithms combined with low-dose scanning protocols in chest CT
The low-dose scanning protocol combined with high-intensity PI deep learning-based algorithm reconstruction achieves high image quality while maintaining a low radiation dose, making it suitable for widespread application in chest CT screening.
Authors
- Hongying Wu (ORCID: https://orcid.org/0009-0004-3875-9634)
- Tian Liao
- Xiaoli Ning (ORCID: https://orcid.org/0009-0001-5326-8751)
- Jinge Ma (ORCID: https://orcid.org/0000-0002-3803-6258)
- Shen Gui (ORCID: https://orcid.org/0000-0003-4316-2352)
- Xiaojing Liu (ORCID: https://orcid.org/0000-0002-4632-310X)
- Ziqiao Lei (ORCID: https://orcid.org/0000-0002-3103-4188)
Institutions
- Union Hospital (HK)
- Philips (Finland) (FI)
- Hubei Provincial Center for Disease Control and Prevention (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2025-685
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00