Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current
Deep IR algorithm can meet the clinical requirements and reduce the radiation dose by 69.94% in portal venous phase abdominal CT with a low tube voltage of 80 kV and a low tube current. Deep IR at levels 4-5 can significantly improve the image quality of the abdominal parenchymal organs and the clarity of the portal vein.
Authors
- Wenzhe Zhao
- Yao Xiao (ORCID: https://orcid.org/0000-0003-0758-8815)
- Xin Huang (ORCID: https://orcid.org/0000-0001-8298-4119)
- Shumeng Zhu
- Qian Tian
- Ao Li (ORCID: https://orcid.org/0000-0002-8171-9011)
- Yiming Wang (ORCID: https://orcid.org/0000-0003-0513-9039)
- Ping Zhang (ORCID: https://orcid.org/0000-0001-9163-6191)
- Rui Wang (ORCID: https://orcid.org/0000-0003-2782-7772)
- Yuhang Li (ORCID: https://orcid.org/0000-0003-1935-5947)
- Chao Jin (ORCID: https://orcid.org/0000-0002-8710-6590)
- Jian Yang (ORCID: https://orcid.org/0000-0003-1250-6319)
- Zhe Liu (ORCID: https://orcid.org/0009-0001-6062-9957)
- Wei Hou (ORCID: https://orcid.org/0000-0002-7731-6586)
Institutions
- Xi'an Medical University (CN)
- First Affiliated Hospital of Xi'an Jiaotong University (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12911-024-02811-w
- Citations
- 6
- Primary Topic
- Radiation Dose and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China