ADMM-TransNet: ADMM-Based Sparse-View CT Reconstruction Method Combining Convolution and Transformer Network
The proposed algorithm has effective capability in sparse-view CT reconstruction. Compared with other deep learning algorithms, the proposed algorithm has better generalization and higher reconstruction accuracy.
Authors
- Ping Chen (ORCID: https://orcid.org/0000-0003-0684-9665)
- Xueqin Sun
- Yu Li (ORCID: https://orcid.org/0000-0001-8311-5927)
- Xuan Li (ORCID: https://orcid.org/0000-0002-0180-6896)
- Lina Guo (ORCID: https://orcid.org/0000-0003-4372-6218)
- Sukai Wang (ORCID: https://orcid.org/0000-0001-5722-4257)
- Yihong Li (ORCID: https://orcid.org/0009-0007-6429-4537)
- Zhiqing Wei
Institutions
- North University of China (CN)
Publication Details
- Journal
- Tomography
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3390/tomography11030023
- Citations
- 2
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Shanxi Provincial Key Research and Development Project