基于数学形态学算法的心肌超声造影定量评价心肌梗死大鼠左心室功能  

Automatic evaluation of left ventricular systolic function in rats with myocardial infarction by myocardial contrast echocardiography based on mathematical morphology algorithm

作　　者：陈双[1] 杜国庆[1] 薛竟宜[2] 杜佩[1] 吴言[1] 李海茹[1] 田家玮[1] 

机构地区：[1]哈尔滨医科大学附属第二医院超声医学科,150086 [2]哈尔滨医科大学附属第一医院心内五病区

出　　处：《中华超声影像学杂志》2014年第10期897-901,共5页Chinese Journal of Ultrasonography

基　　金：国家自然科学基金（81371632和81100071）

摘　　要：目的 探讨基于改进数学形态学算法的自制心肌超声造影（MCE）软件定量评价心肌梗死大鼠模型左室收缩功能的准确性及其应用价值.方法 SD大鼠制成心肌梗死模型,分别于术前、术后1周及3周对其进行MCE检查.体外实验：基于二值形态学的原理,采用膨胀、腐蚀、闭合运算以及对对象标记的连通域搜索的方法自动分割心内膜,并与人工分割结果比较.体内实验：应用该软件对心肌梗死大鼠左室面积自动计算,并获得左室收缩功能新指标—左室面积变化率（AVF）.AVF与左室射血分数（LVEF）行相关分析.ROC曲线评价AVF对左心功能不全者的诊断效能.结果 ①自动分割获得心内膜轮廓与人工分割的轮廓具有良好的吻合度,交互相关系数（CCC）在0.90以上,误差百分比（PE）在9％以下;②AVF与LVEF呈正相关（r=0.934,P＜0.001）;③ROC曲线分析：AVF诊断左室收缩功能不全（LVEF＜50％）的曲线下面积为0.834,以AVF=27.5％为截断值诊断左室收缩功能不全的敏感性85％,特异性60％.结论 基于改进数学形态学算法的MCE可以实现对左室心内膜的自动、快速、准确的识别,而由此衍生的AVF能对实验大鼠左室收缩功能进行定量评估.Objective To evaluate the feasibility and value of quantitatively assessing left ventricular systolic function in rats with myocardial infarction （MI） by myocardial contrast echocardiography （MCE） based on mathematical morphology algorithm.Methods SD rats model of MI were mede,then MCE were performed before MI and at 1,3 weeks after MI.In vitro study：based on the principle of binary morphology,segmentation of endocardium was acquired using dilation,erosion,closed operations and connected domain object tag-based.The automatic segmentation of endocardial contour was compared with the manual segmentation boundary.In vivo study：the left ventricular area was calculated using the software,and the area variation fraction （AVF）,a new index of left ventricular systolic function,were acquired.The correlation between AVF and left ventricular ejection fraction （LVEF） was analyzed.The value of AVF for diagnosis for left ventricular dysfunction was evaluated by ROC curve.Results ① The cross-correlation coefficient （CCC） and percent error （PE） between automatic contours and manual boundary were more than 0.90 and less than 9%,respectively.② AVF correlated positively with LVEF （r =0.934,P 〈 0.001）.③ ROC analyses showed the area under curves for AVF diagnosing left ventricular dysfunction was 0.834.The best cutoff value was 27.5 % for diagnosing left ventricular dysfunction with the sensitivity of 85 % and specificity of 60 %.Conclusions Left ventricular endocardium can be identificated automatically and rapidly by MCE based on mathematical morphology algorithm.AVF can assessed quantitatively left ventricular systolic function in rats with myocardial infarction.

关 键 词：超声心动描记术 微气泡 心肌梗死 心室功能 左 图像处理 计算机辅助 

分 类 号：R542.22[医药卫生—心血管疾病] R445.1[医药卫生—内科学]