Comparison of deep learning reconstruction and iterative reconstruction algorithms for virtual monoenergetic image quality in overweight and obese patients with triple-low scan protocol dual-energy carotid computed tomography angiography
The DLIR-H algorithm significantly enhances image quality in CTA, reducing both radiation exposure and contrast agent usage in overweight and obese patients.
Authors
- Yankai Meng (ORCID: https://orcid.org/0000-0002-9671-538X)
- Wenbei Xu
- Z.Y. Liu (ORCID: https://orcid.org/0009-0006-6029-2203)
- Juan Long (ORCID: https://orcid.org/0000-0001-8218-1260)
- Chenzi Wang
- Yu Meng (ORCID: https://orcid.org/0000-0002-7472-1842)
- Aiyun Sun (ORCID: https://orcid.org/0009-0008-8013-3132)
- yang wu
- Chong Wang
- HE ZHANG
- Xiaohan Liu
- Shuai Zhang
- Kai Xu
- Chunfeng Hu
Institutions
- Xuzhou Medical College (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2026-02-13
- DOI
- https://doi.org/10.21037/qims-2025-856
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Xuzhou Medical University
- Xuzhou Science and Technology Bureau