Does the deep learning-based iterative reconstruction affect the measuring accuracy of bone mineral density in low-dose chest CT?
The BMD values could be measured accurately in low-dose chest CT with deep learning-based iterative reconstruction while reducing image noise and improving spatial resolution.
Authors
- Wenzhe Zhao
- Chao Jin (ORCID: https://orcid.org/0000-0002-5761-341X)
- Yanshou Li
- Jianbo Tong (ORCID: https://orcid.org/0000-0001-5536-2701)
- Ningning Ding (ORCID: https://orcid.org/0009-0009-4454-3684)
- Jian Yang (ORCID: https://orcid.org/0000-0002-9037-0915)
- Zhe Liu (ORCID: https://orcid.org/0000-0002-2691-7488)
- Xin Huang (ORCID: https://orcid.org/0000-0001-8298-4119)
- Jingyi Wang (ORCID: https://orcid.org/0000-0002-7192-533X)
- Shijie Xu (ORCID: https://orcid.org/0000-0001-5741-0818)
- Hui Hao (ORCID: https://orcid.org/0009-0004-8617-7356)
Institutions
- Xi'an Medical University (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- United Imaging Healthcare (China) (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1093/bjr/tqaf059
- Citations
- 1
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36