Your browser doesn't support javascript.
loading
Design and evaluation of a quantitative analysis software for myocardial contrast echocardiography / 中华医学超声杂志(电子版)
Article in Zh | WPRIM | ID: wpr-635158
Responsible library: WPRO
ABSTRACT
Objective To evaluate the feasibility of quantitative analysis software for myocardial contrast echocardiography (MCE) in assessment of myocardial perfusion.Methods According to coronary occlusion and reperfusion at different times,rabbits were divided into two groups15 min occlusion / 30 min reperfusion (group Ⅰ) and 120 min occlusion / 60 min reperfusion (group Ⅱ).MCE was performed on all rabbits at baseline,occlusion and after reperfusion,and its images were analyzed by a new quantitative analysis software based on eliminating particle swarm optimization (EPSO) clustering algorithm,by which obtain myocardial perfusion parameters.Results (1) The values of calibrated contrast intensity (CI) in risk segments of Groups Ⅰ and Ⅱ were significantly lower than those at baseline during occlusion (t =5.104 and t =4.327,P<0.01).After reperfusion,calibrated CI in risk segments significantly improved in Group Ⅰ (t =2.933,P<0.01) while those remained unchanged in Group Ⅱ (P>0.05).(2) The areas of red-coded region in color-coded map and myocardial infarction in triphenyl-tetrazolium chloride (TTC) were (21.4±12.3)% and (18.0±9.5)%,respectively.The correlation between color-coded image and TTC was 0.89 (P<0.01).(3) The histogram in all risk segments was skew distribution during occlusion.After reperfusion,the histogram in Group Ⅰ was normal distribution while that was still skewed distribution in Group Ⅱ.Conclusion The MCE image analysis software based on EPSO clustering algorithm in the quantitative assessment of myocardial microperfusion and identification of myocardial perfusion abnormalities was feasible and of high value.
Key words
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Medical Ultrasound (Electronic Edition) Year: 2010 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Medical Ultrasound (Electronic Edition) Year: 2010 Type: Article