Multi‐task generative model for high‐quality magnetic particle imaging reconstruction
In our current study, we propose a deep-learning based multi-task method to realize high-quality MPI (Magnetic Particle Imaging) image reconstruction. As far as we know, it is the first attempt to perform feature sharing on MPI image reconstruction and segmentation in medical image analysis.
Authors
- Haoran Zhang (ORCID: https://orcid.org/0000-0002-7211-2947)
- Xinyi Liu (ORCID: https://orcid.org/0000-0001-5333-8054)
- Hui Zhang (ORCID: https://orcid.org/0000-0002-2501-712X)
- Jing Zhao (ORCID: https://orcid.org/0000-0003-3231-5544)
- Jie Tian
Institutions
- Chinese Academy of Sciences (CN)
- Shandong Institute of Automation (CN)
- Beihang University (CN)
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/mp.18036
- Citations
- 2
- Primary Topic
- Characterization and Applications of Magnetic Nanoparticles
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- National Natural Science Foundation of China