Objective To investigate the value of MRI artificial intelligence-assisted compressed sensing(ACS)cardiac cine(cine)sequence in cardiac function assessment.Methods Sixty-three subjects who underwent cardiac MRI in our hospital from May to December 2022 were consecutively included in this study.All subjects were scanned with both conventional cine and ACS-cine sequences,and image quality was evaluated using a 5-point scale.The Wilcoxon signed rank test was applied to compare the scan time,image quality scores and ventricular function results of the 2 cardiac cine sequences.Spearman correlation analysis and Bland-Altman analysis were used to evaluate the correlation and consistency of the two sequences for measuring cardiac function.Results The difference in scan time between the conventional cine and ACS-cine sequences was statistically significant(Z=-6.904,P<0.001),with the latter significantly reducing scan time by approximately 92.82%.The difference in image quality scores between conventional cine and ACS-cine sequences was not statistically significant(Z=-0.816,P>0.05).There was no statistically significant difference in LVEF,LVESV,RVEF,RVEDV,and RVESV parameters between conventional cine and ACS-cine sequences(all P>0.05),but there was a statistically significant difference in the LVEDV parameter(Z=-2.958,P<0.05).Quantitative cardiac function parameters(LVEF,LVEDV,LVESV,RVEF,RVEDV,RVESV)were all well correlated between conventional cine and ACS-cine sequences(r=0.865-0.963,all P<0.01).Bland-Altman analysis showed that the mean differences in quantitative parameters of LV and RV function(LVEF,LVEDV,LVESV,RVEF,RVEDV,RVESV)obtained from conventional cine and ACS-cine sequence images were all close to zero with a small range of variation and high agreement.Conclusion Compared with conventional cine,ACS-cine can significantly shorten the imaging time while guaranteeing the image quality,and can accurately analyze the LV and RV functions,which has high clinical application value.
关键词
磁共振成像/人工智能/压缩感知/心脏电影成像/心功能分析
Key words
Magnetic Resonance Imaging/Artificial Intelligence/Compressed Sensing/Cardiac Cine Imaging/Cardiac Function Analysis