Sparse-View CT Joint Reconstruction Strategy with Sparse Sampling Encoding Layer
The results show that the joint reconstruction network based on a sparse sampling coding layer has great application potential.
Authors
- Jianye Wang (ORCID: https://orcid.org/0000-0001-7173-566X)
- Minghao Li (ORCID: https://orcid.org/0000-0001-5490-2024)
- Shuai Chen (ORCID: https://orcid.org/0000-0002-8562-5784)
- Hu Guo (ORCID: https://orcid.org/0000-0001-8217-6402)
- Ziheng Zhang (ORCID: https://orcid.org/0000-0002-5938-4729)
- Haibo Yu (ORCID: https://orcid.org/0000-0002-9631-923X)
- Minghan Yang (ORCID: https://orcid.org/0000-0002-6501-7132)
Institutions
- University of Science and Technology of China (CN)
- Chinese Academy of Sciences (CN)
- Hefei Institutes of Physical Science (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-03-27
- DOI
- https://doi.org/10.2174/0115734056354972250221012822
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36