摘要
CT血管成像(Computed Tomography Angiography,CTA)在临床上被广泛应用于血管病变的诊断,然而,CTA存在X线辐射损伤、对比剂外渗和对比剂肾病的3大风险。本文综述了国内外最新文献研究结果,首先介绍"三低"剂量(低辐射剂量、低对比剂流速和总量)下行CTA扫描的理论基础与实现方式;其次介绍不同等级与强度的迭代重建算法在改善低剂量图像质量的能力;最后介绍基于人工智能的深度学习算法在改善低剂量图像质量的能力,以及相较于迭代重建技术的优势。因此,本文不仅可以指导放射技师正确使用"三低"剂量与图像重建算法行CTA扫描,而且结合最新的图像重建算法(基于人工智能深度学习算法)在低剂量CTA中的研究进展进行综述,为后续研究提供参考。
CT angiography(CTA)is widely used clinically in the diagnosis of vascular disease.However,CTA has three major risks of X-ray radiation damage,contrast extravasation and contrast nephropathy.This article summarized the latest literature research results at home and abroad.Firstly,it introduced the theoretical basis and implementation of CTA scanning in the"three low"doses(low radiation dose,low contrast agent flow rate and total amount).Secondly,it introduced the ability of iterative reconstruction algorithms with different levels and intensities to improve the image quality of low-dose.Finally,the ability of deep learning algorithms based on artificial intelligence to improve the image quality of low-dose was introduced,as well as their advantages over iterative reconstruction algorithms.Therefore,this paper can not only guide the radiographers to correctly use the"three low"dose and image reconstruction algorithm for CTA scanning,but also provide reference for the follow-up research combined with the latest image reconstruction algorithm(based on artificial intelligence deep learning algorithm)in low-dose CTA.
作者
李万江
袁元
李真林
余建群
LI Wanjiang;YUAN Yuan;LI Zhenlin;YU Jianqun(Department of Radiology,West China Hospital,Sichuan University,Chengdu Sichuan 610041,China)
出处
《中国医疗设备》
2020年第10期82-86,共5页
China Medical Devices
关键词
计算机断层扫描仪
血管成像
迭代重建
深度学习
辐射剂量
对比剂
computed tomography
angiography
iterative reconstruction
deep learning
radiation dose
contrast agent
