摘要
定量数字减影血管造影(DSA)分析技术可通过造影剂浓度变化获取像素点时间-密度曲线,进而计算感兴趣区内造影剂的相应参数,实现患者血流动力学的半定量分析,用于评估急性缺血性大血管闭塞型脑卒中患者血管内治疗后的再灌注情况。随着人工智能技术,尤其是深度学习算法在医学图像处理中的广泛应用,有望实现对DSA图像的进一步挖掘,可对脑血管病变进行多时相、多角度、全方位的综合评估。
Quantitative digital subtraction angiography(DSA)analysis can obtain pixel time density curves through changes in contrast agent concentration,and calculate the corresponding parameters of the contrast agent in the area of interest,achieving semi quantitative analysis of patient hemodynamic,used to evaluate the reperfusion status of intravascular therapy in patients with acute ischemic large vessel occlusion stroke.With the widespread application of artificial intelligence technology,especially deep learning algorithms in medical image processing,it is expected to further excavate the DSA images,which can comprehensively evaluate cerebral vascular diseases in multiple phases,angles,and directions.
作者
刘锐
刘新峰
Liu Rui;Liu Xinfeng(Department of Neurology,Affiliated Jinling Hospital(General Hospital of Eastern Theater Command),Medical School of Nanjing University,Nanjing 210002,China)
出处
《中华神经科杂志》
CAS
CSCD
北大核心
2023年第6期583-586,共4页
Chinese Journal of Neurology
关键词
脑缺血
血管造影术
数字减影
再灌注评估
Brain ischemia
Angiography,digital subtraction
Reperfusion evaluation nflictsofin st:Nonedeclared