Evaluation of a motion correction algorithm in lung cancer PET/CT: Phantom validation and patient studies
DDG integrated with RRA motion correction algorithm can effectively mitigate motion artifacts, thus enhancing the quantification accuracy and visual quality of images in lung cancer PET/CT.
Authors
- Xueyao Liu (ORCID: https://orcid.org/0000-0001-9473-8097)
- Wengui Xu (ORCID: https://orcid.org/0000-0001-6669-1471)
- Jianjing Liu
- Jie Ying Fu (ORCID: https://orcid.org/0000-0002-5489-2732)
- Ziyang Wang (ORCID: https://orcid.org/0000-0002-3174-1894)
- Yan Zhang (ORCID: https://orcid.org/0000-0002-4253-8824)
- Dong Dai (ORCID: https://orcid.org/0000-0003-1278-5581)
- Lina Tong (ORCID: https://orcid.org/0000-0002-4569-8145)
- Yaya Wang (ORCID: https://orcid.org/0000-0001-7947-701X)
- Di Lu (ORCID: https://orcid.org/0000-0003-1040-7763)
- Guoqing Sui (ORCID: https://orcid.org/0000-0003-0745-1501)
Institutions
- Tianjin Medical University Cancer Institute and Hospital (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1002/mp.17846
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00