首页|MRI人工智能辅助压缩感知心脏电影序列在心功能评估中的应用价值

MRI人工智能辅助压缩感知心脏电影序列在心功能评估中的应用价值

The Value of MRI Artificial Intelligence-assisted Compression-aware Cardiac Cine Sequences in Cardiac Function Assessment

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目的 探讨MRI人工智能辅助压缩感知(ACS)心脏电影(cine)序列在心功能评估中的应用价值.方法 本研究连续纳入2022年5月至12月在我院行心脏MRI检查的63例受检者.所有受检者均进行常规cine和ACS-cine两种序列扫描,采用5分法进行图像质量评价.应用Wilcoxon符号秩检验对2种心脏cine序列的扫描时间、图像质量评分及心室功能定量参数进行比较.采用Spearman相关分析和Bland-Altman 分析评价两种序列测量心室功能定量参数的相关性和一致性.结果 常规cine与ACS-cine序列扫描时间差异具有统计学意义(Z=-6.904,P<0.001),后者可将扫描时间大幅缩短约92.82%.常规cine与ACS-cine序列图像质量评分差异无统计学意义(Z=-0.816,P>0.05).在心功能定量参数评估方面,常规cine与ACS-cine序列之间的LVEF、LVESV、RVEF、RVEDV、RVESV参数差异无统计学意义(P均>0.05),但LVEDV参数存在统计学差异(Z=-2.958,P<0.05).常规cine与ACS-cine序列之间的心功能定量参数(LVEF、LVEDV、LVESV、RVEF、RVEDV、RVESV)均有良好的相关性(r=0.865~0.963,P均<0.01).Bland-Altman分析显示,常规cine与ACS-cine序列图像获取的左心室及右心室功能定量参数(LVEF、LVEDV、LVESV、RVEF、RVEDV、RVESV)平均差异均接近于零,且变异范围很小,一致性高.结论 相较于常规cine序列,ACS-cine序列能显著缩短成像时间的同时保证图像质量,并可准确分析左心室及右心室功能定量参数,具有较高的临床应用价值.
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.

Magnetic Resonance ImagingArtificial IntelligenceCompressed SensingCardiac Cine ImagingCardiac Function Analysis

范伟雄、张添辉、钟炜、钟鑫威、张文巨、张昭男、程亚宝、钟志雄

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梅州市人民医院磁共振科

梅州市人民医院心内科(广东梅州 514031)

磁共振成像 人工智能 压缩感知 心脏电影成像 心功能分析

国家高性能医疗器械创新中心开放基金项目

NMED2021MS-01-002

2024

中国CT和MRI杂志
北京大学深圳临床医学院 北京大学第一医院

中国CT和MRI杂志

CSTPCD
影响因子:1.578
ISSN:1672-5131
年,卷(期):2024.22(9)
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