摘要
Abstract
Objective To explore the application value of the second generation of snapshot freeze(SSF2)combined with deep learning image reconstruction algorithm in coronary CT angiography(CCTA)in patients with high heart rate.Methods A total of 62 patients with heart rate≥70 times/min who underwent CCTA examination were retrospectively included,and the tube voltage was 100 kV.The image quality of coronary artery was evaluated subjectively by double-blind method,which was divided into conventional images(group A),SSF1 images(group B),and SSF2 images(group C).Results The comparison of image quality scores and ex-cellent rates among the three groups showed that RCA,PDA,LAD,D,LCX,OM,PLB and RI were significantly different(P<0.05).Coronary artery scores were(2.85±0.72)(group A),(3.38±0.61)(group B),and(3.86±0.34)(group C).The excel-lence rate of coronary artery was 15.19%(group A),44.39%(group B),86.42%(group C)respectively.The comparison of diag-nosable rates showed that RCA,PDA,D,LCX,OM,PLB and RI were statistically significant(P<0.05),and LAD was not statisti-cally significant(χ2=4.01,P=0.135).Conclusions SSF2 technology combined with deep learning image reconstruction algorithm can further improve CCTA image quality in patients with high heart rate.关键词
冠状动脉追踪冻结技术/深度学习图像重建/冠状动脉CT血管成像/图像质量Key words
snapshot freeze/deep learning image reconstruction/coronary CT angiography/image quality分类
医药卫生
