Deep learning-based reconstruction improves image quality in low-dose head CT angiography
DLIR in low-dose head CTA could reduces image noise, preserve natural texture, and enhance image clarity compared with ASIR-V and FBP methods.
Authors
- Qian Hua (ORCID: https://orcid.org/0000-0002-0816-6166)
- Guangrui Mu
- Wei Hou (ORCID: https://orcid.org/0000-0003-1441-0708)
- Jin Shang (ORCID: https://orcid.org/0000-0002-9122-3298)
- Junying Li (ORCID: https://orcid.org/0000-0003-0405-9352)
- Yao Xiao (ORCID: https://orcid.org/0000-0002-2764-8232)
- Daliang Li (ORCID: https://orcid.org/0000-0002-1717-9073)
- Xin Huang (ORCID: https://orcid.org/0000-0003-4383-3697)
Institutions
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
- Hanzhong Central Hospital (CN)
Publication Details
- Journal
- Malawi Medical Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4314/mmj.v37i2.8
- Citations
- 2
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Natural Science Foundation of Shaanxi Province
- Key Research and Development Projects of Shaanxi Province