A springback TV algorithm for image reconstruction from sparse view data in CT
The proposed STV algorithm improves detail recovery while maintaining computational efficiency, providing a more robust and effective solution for sparse view CT image reconstruction under low-dose conditions.
Authors
- Yunxin Yu
- Yanjun Zhang (ORCID: https://orcid.org/0000-0001-6841-972X)
- Jennifer Xue (ORCID: https://orcid.org/0000-0002-6387-0148)
- Chenyun Fang (ORCID: https://orcid.org/0009-0008-4199-8360)
- Zhiwei Qiao (ORCID: https://orcid.org/0000-0003-4194-203X)
- Peng Liu (ORCID: https://orcid.org/0000-0003-3566-2939)
- Ruotong Yang
Institutions
- Shanxi University (CN)
Publication Details
- Journal
- Physics in Medicine and Biology
- Published
- 2025-10-17
- DOI
- https://doi.org/10.1088/1361-6560/ae14a9
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00