Reducing acquisition time in O-(2-18F-fluoroethyl)-L-tyrosine positron emission tomography (18F-FET PET) for malignant brain tumors: temporal stability of ordered subset expectation maximization (OSEM) and HYPER iterative algorithms and selection of
This study offers a reference for clinically reducing the acquisition time of <sup>18</sup>F-FET PET imaging in brain tumors. It compares the temporal stability of different reconstruction algorithms and identifies metabolic and radiomic features with high repeatability and stability for each. These findings help to optimize imaging protocols and improve the reproducibility of quantitative analysis in <sup>18</sup>F-FET PET studies for brain tumors.
Authors
- Hongwei Yang (ORCID: https://orcid.org/0000-0003-1042-247X)
- Yang Yang (ORCID: https://orcid.org/0000-0002-4743-3546)
- Jie Lü (ORCID: https://orcid.org/0000-0003-0690-4732)
- Ya Su
- Yujie Hu (ORCID: https://orcid.org/0000-0002-0885-1470)
- Fengqi Li (ORCID: https://orcid.org/0000-0002-1670-6062)
Institutions
- Capital Medical University (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-10-29
- DOI
- https://doi.org/10.21037/qims-2025-649
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00