Comparison of image quality in carotid dual-energy computed tomography angiography at 55 keV virtual monoenergetic imaging using deep learning and adaptive iterative reconstruction algorithm
At 55 keV VMI in carotid DE-CTA, DLIR-H significantly enhanced image quality, particularly by reducing noise and preserving fine anatomical structures. Its efficacy was especially notable in patients with BMI ≥24 kg/m<sup>2</sup>.
Authors
- Aiyun Sun
- Zhongxiao Liu (ORCID: https://orcid.org/0000-0002-0156-6482)
- Yankai Meng (ORCID: https://orcid.org/0000-0002-9671-538X)
- Juan Long (ORCID: https://orcid.org/0000-0001-8218-1260)
- Chenzi Wang
- Shuai Zhang (ORCID: https://orcid.org/0000-0002-3563-4068)
- Yang Wu (ORCID: https://orcid.org/0000-0001-8010-6857)
- Xiaohan Liu (ORCID: https://orcid.org/0000-0001-8946-1265)
- Chong Wang (ORCID: https://orcid.org/0000-0001-6016-6545)
- Wenbei Xu
- Yu Meng (ORCID: https://orcid.org/0000-0002-7472-1842)
- Kai Xu (ORCID: https://orcid.org/0009-0001-0859-8129)
- He Zhang (ORCID: https://orcid.org/0009-0001-1899-2402)
Institutions
- Xuzhou Medical College (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Journal of Clinical Imaging Science
- Published
- 2025-11-13
- DOI
- https://doi.org/10.25259/jcis_109_2025
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00