Accurate volume image reconstruction for digital breast tomosynthesis with directional-gradient and pixel sparsity regularization
The results for the sparsity regularization algorithm applied to DE-DBT show promise, but as the algorithm performance is necessarily subject-dependent, further investigation using subjects with varying complexity in the ICA distribution is required.
Authors
- Hailiang Huang
- Ingrid Reiser (ORCID: https://orcid.org/0000-0002-2047-2190)
- Dan Xia (ORCID: https://orcid.org/0000-0001-8567-1038)
- Xiangyi Wu
- Emil Y. Sidky (ORCID: https://orcid.org/0000-0002-6951-2456)
- Buxin Chen (ORCID: https://orcid.org/0000-0002-5884-8173)
- John Paul Phillips
- Zheng Zhang (ORCID: https://orcid.org/0000-0003-3127-8710)
- Xiaochuan Pan (ORCID: https://orcid.org/0000-0002-3074-9771)
- Wei Zhao (ORCID: https://orcid.org/0000-0001-5081-7025)
- Xiaoyu Duan (ORCID: https://orcid.org/0000-0003-2053-4352)
- L. Zhang (ORCID: https://orcid.org/0009-0008-9228-6507)
Institutions
- University of Washington (US)
- University of Chicago (US)
- Stony Brook School (US)
- Stony Brook University (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1117/1.jmi.12.s1.s13013
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Cancer Institute