MAFA-Uformer: Multi-attention and dual-branch feature aggregation U-shaped transformer for sparse-view CT reconstruction
Our method not only effectively suppresses artifacts but also better preserves details and features, thereby providing robust support for accurate diagnosis of CT images.
Authors
- Xuan Zhang (ORCID: https://orcid.org/0000-0002-7537-4002)
- Chenyun Fang (ORCID: https://orcid.org/0009-0008-4199-8360)
- Zhiwei Qiao (ORCID: https://orcid.org/0000-0003-4194-203X)
Institutions
- Shanxi University (CN)
Publication Details
- Journal
- Journal of X-Ray Science and Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1177/08953996241300016
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China