Application of the second generation of snapshot freeze combined with deep learning im-age reconstruction algorithm in coronary CT angiography in patients with high heart rate
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.
国家科技期刊平台
NSTL
万方数据
