An improved Patlak-based K<sub>i</sub> parametric imaging approach for clinical <sup>18</sup>F-FDG total-body PET
Reliable Ki images can be rapidly generated using shallow machine learning algorithms from dynamic 18F-FDG total-body PET scans with durations as short as four minutes. This total-body Ki parametric imaging method has potential to be used in clinical nuclear medicine and molecular imaging.
Authors
- Zhanshi Zhu (ORCID: https://orcid.org/0000-0001-7158-1293)
- Ze Liu (ORCID: https://orcid.org/0000-0002-1635-5573)
- Kuanquan Wang (ORCID: https://orcid.org/0000-0003-1347-3491)
- Yun Zhou (ORCID: https://orcid.org/0000-0001-9135-336X)
- Yanxiao Li (ORCID: https://orcid.org/0000-0002-0600-8711)
- Gongning Luo (ORCID: https://orcid.org/0000-0003-3662-0335)
- Weiping Liu (ORCID: https://orcid.org/0000-0002-1173-892X)
- Wenjian Gu (ORCID: https://orcid.org/0009-0006-9671-1481)
- Tianyi Xu (ORCID: https://orcid.org/0000-0003-3290-3581)
- Yihan Wang (ORCID: https://orcid.org/0000-0002-0541-0960)
Institutions
- Harbin Institute of Technology (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Physics in Medicine and Biology
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1088/1361-6560/ad9ce4
- Citations
- 2
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- National Natural Science Foundation of China