Research progresses in deep learning reconstruction of low-dose CT image
10.13929/j.issn.1003-3289.2025.07.028
- VernacularTitle:基于深度学习重建低剂量CT图像研究进展
- Author:
Jiayuan LI
1
;
Zhenxia LI
;
Yiyu CHEN
;
Xinran CHEN
;
Hongyang GAN
;
Qingming HUANG
Author Information
1. 上海健康医学院医学影像学院,上海 201318
- Publication Type:Journal Article
- Keywords:
tomography,X-ray computed;
low dose;
deep learning
- From:
Chinese Journal of Medical Imaging Technology
2025;41(7):1167-1170
- CountryChina
- Language:Chinese
-
Abstract:
Reconstruction of low-dose CT image faced problems such as low resolution,blurred artifacts and strong noise.Deep learning reconstruction met the needs of reducing radiation dose and improving imaging quality,promoted reconstruction of CT image towards high efficiency,intelligence and integration of clinical diagnosis and treatment.The research progresses in deep learning low-dose CT imaging reconstruction were reviewed in this article.
