A novel population‐based input function integral estimation method for Ki parametric imaging with shortened dynamic 18F‐FDG PET scans
Based on the experimental results, the PBIF-IE method outperforms other existing methods for shortened <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:semantics><mml:msub><mml:mi>K</mml:mi> <mml:mi>i</mml:mi></mml:msub> <mml:annotation>$K_i$</mml:annotation></mml:semantics> </mml:math> parametric imaging. In future research, we plan to explore how the number of dynamic sequences used in the training dataset affects the model construction. This will help us further optimize the parametric imaging process.
Authors
- Lingxin Chen (ORCID: https://orcid.org/0000-0002-6908-1086)
- Z Chen
- Yanhua Duan (ORCID: https://orcid.org/0000-0003-2906-9039)
- Jidong Han (ORCID: https://orcid.org/0000-0002-4945-2150)
- Haiyan Wang (ORCID: https://orcid.org/0000-0002-5204-967X)
- Meiyun Wang (ORCID: https://orcid.org/0000-0001-8779-6184)
- Dong Liang (ORCID: https://orcid.org/0000-0002-5582-4248)
- Zhanli Hu
- Hairong Zheng (ORCID: https://orcid.org/0000-0002-7356-9340)
- Yaping Wu
- Zhaoping Cheng
Institutions
- Academy of Mathematics and Systems Science (CN)
- Henan Provincial People's Hospital (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Shandong Provincial QianFoShan Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1002/mp.70270
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00