Comparison of image quality in 40 keV virtual monoenergetic images of dual-energy CT pulmonary angiography using deep learning and iterative reconstruction algorithms under optimized low dose scanning protocols
The DLIR-H algorithm significantly enhances the image quality of 40 keV VMI images under low-dose DE-CTPA scanning protocols. It outperforms DLIR-M, ASIR-V 50%, and ASIR-V 70%, making it a promising tool for improving image quality in CTPA, particularly in clinical settings where minimizing radiation dose and contrast agent volume is essential.
Authors
- Bo Sun (ORCID: https://orcid.org/0000-0002-1386-4612)
- Aiyun Sun
- Yankai Meng (ORCID: https://orcid.org/0000-0002-9671-538X)
- Dapeng Zhang (ORCID: https://orcid.org/0000-0002-9657-0088)
- Yang Wu (ORCID: https://orcid.org/0000-0003-0699-8134)
- Juan Long (ORCID: https://orcid.org/0000-0001-8218-1260)
- Chenzi Wang
- Lulu Zhang (ORCID: https://orcid.org/0000-0002-7557-3845)
- Chong Wang (ORCID: https://orcid.org/0000-0001-6016-6545)
- He Zhang (ORCID: https://orcid.org/0009-0001-9268-5742)
- Chunfeng Hu (ORCID: https://orcid.org/0000-0001-6804-7401)
- Xiaonan Sun (ORCID: https://orcid.org/0000-0002-4027-4191)
- Kai Xu (ORCID: https://orcid.org/0000-0003-3616-2047)
Institutions
- Xuzhou Medical College (CN)
- United Imaging Healthcare (China) (CN)
- Xuzhou No.1 People's Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-11-25
- DOI
- https://doi.org/10.21037/qims-2025-1420
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00