Pixel‐level transformer GAN for enhanced parametric mapping of DCE MRI analysis
The proposed model performs well in converting DCE-MRI with a subset of uniformly spaced time points into physiological parametric maps derived from dense-phase DCE-MRI, allowing for DCE-MRI analysis with much fewer phases.
Authors
- Yuxi Jin (ORCID: https://orcid.org/0000-0002-9334-5205)
- Qian Yang (ORCID: https://orcid.org/0000-0002-8102-288X)
- Baijie Wang
- Zhanli Hu (ORCID: https://orcid.org/0000-0003-0618-6240)
- Zixiang Chen (ORCID: https://orcid.org/0000-0002-9042-4477)
- Dehong Luo (ORCID: https://orcid.org/0000-0001-7902-386X)
- Na Zhang (ORCID: https://orcid.org/0000-0002-9888-7396)
- Haizhou Liu (ORCID: https://orcid.org/0009-0001-1678-0780)
- Zhou Liu (ORCID: https://orcid.org/0009-0008-1471-4369)
- Gen Lin
- Peng Cao (ORCID: https://orcid.org/0000-0002-7859-2769)
- Dong Liang (ORCID: https://orcid.org/0000-0002-5582-4248)
- Hairong Zheng
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Northeastern University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/mp.18092
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province
- National Key Research and Development Program of China