Low-Dose CT Imaging Using a Regularization-Enhanced Efficient Diffusion Probabilistic Model.
RE-EDPM offers robust LDCT denoising with minimal inference time, achieving an optimal balance between noise reduction and anatomical preservation. Its efficiency and high performance make it a strong candidate for real-time clinical deployment and for broader applications in transforming low-quality to high-quality medical imaging tasks.
Authors
- Mojtaba Safari (ORCID: https://orcid.org/0000-0003-3295-328X)
- Tonghe Wang (ORCID: https://orcid.org/0000-0001-9021-1204)
- Shansong Wang (ORCID: https://orcid.org/0000-0003-4208-2035)
- Huiqiao Xie (ORCID: https://orcid.org/0000-0002-1146-2134)
- Jie Ding (ORCID: https://orcid.org/0000-0002-1427-9618)
- Qiang Li (ORCID: https://orcid.org/0000-0001-6623-0675)
- Xiaofeng Yang
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Emory University (US)
Publication Details
- Journal
- PubMed
- Published
- 2025-10-27
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00