Feasibility of shortening the 18F-FDG Patlak scan time in a high-sensitivity short-axial field-of-view positron emission tomography-computed tomography system for oncological studies using deep learning denoising algorithms
The findings suggest that abbreviated protocols can provide acceptable <i>K</i> <sub>i</sub> from short-axial PET/CT systems. The 20-min PBIF-based protocol, enhanced by a deep learning-based denoising algorithm, demonstrated the potential to be applied in <i>K</i> <sub>i</sub> analysis for both scientific and clinical purposes.
Authors
- Jie Liu (ORCID: https://orcid.org/0000-0003-2931-2756)
- Liping Fu (ORCID: https://orcid.org/0000-0002-7764-4440)
- Jin Gao (ORCID: https://orcid.org/0009-0008-2169-5389)
- Ling Wang
- Shixiang Zhang
- Rongzheng Ma
- Honglei Li
- Yidan Wei
- Sen Yang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- China-Japan Friendship Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2026-01-28
- DOI
- https://doi.org/10.21037/qims-2025-1757
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00