Automatic evaluation of left ventricular systolic function in rats with myocardial infarction by myocardial contrast echocardiography based on mathematical morphology algorithm / 中华超声影像学杂志

ABSTRACT

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.