Comparison of 18F-FDG PET image quality and quantitative parameters between DPR and OSEM reconstruction algorithm in patients with lung cancer
Under identical acquisition conditions, the DPR algorithm enhanced the accuracy of quantitative parameters in pulmonary lesions and potentially improved lesion detectability. The DPR algorithm increased image SNR and CNR compared to those obtained using the OSEM algorithm, significantly optimizing overall image quality. This advancement facilitated precise clinical diagnosis, underpinning its potential to significantly contribute to the field of medical imaging.
Authors
- Zhehao Lyu (ORCID: https://orcid.org/0009-0005-3160-2623)
- Ziyi Zhang (ORCID: https://orcid.org/0009-0006-8541-1432)
- Hongyue Zhao
- Xinyue Zhang (ORCID: https://orcid.org/0000-0001-6503-2378)
- Zeyu Wang (ORCID: https://orcid.org/0000-0003-2382-6588)
- Wei Han (ORCID: https://orcid.org/0000-0002-0685-9583)
- Changjiu Zhao (ORCID: https://orcid.org/0000-0001-5996-7089)
- Peng Fu (ORCID: https://orcid.org/0000-0003-0184-2958)
- Xi Wang (ORCID: https://orcid.org/0009-0004-5367-9560)
Institutions
- Harbin Medical University (CN)
- Xi'an Honghui Hospital (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- EJNMMI Physics
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1186/s40658-025-00748-1
- Citations
- 3
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- National Natural Science Foundation of China