Combining Low-energy Images in Dual-energy Spectral CT With Deep Learning Image Reconstruction Algorithm to Improve Inferior Vena Cava Image Quality
Compared with the ASiR-V algorithm, DLIR-H significantly reduces image noise and provides the highest CNR and best diagnostic image quality for the 40 keV DEsCT images in imaging inferior vena cava.
Authors
- Yunsong Zheng
- Dong Han (ORCID: https://orcid.org/0000-0003-4010-1220)
- Yongjun Jia (ORCID: https://orcid.org/0000-0002-9579-1217)
- Shan Dang
- Su‐Huai Wei (ORCID: https://orcid.org/0000-0003-1563-4738)
- Ming Li (ORCID: https://orcid.org/0000-0002-9242-7735)
- Yong Yu (ORCID: https://orcid.org/0000-0002-5055-4293)
- Jian Geng
- Nan Yu (ORCID: https://orcid.org/0000-0002-0177-2067)
- Li-Hua Fan (ORCID: https://orcid.org/0009-0009-6337-998X)
Institutions
- Affiliated Hospital of Shaanxi University of Chinese Medicine (CN)
- Shaanxi University of Chinese Medicine (CN)
Publication Details
- Journal
- Journal of Computer Assisted Tomography
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1097/rct.0000000000001713
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Education Department of Shaanxi Province