急性心肌梗死（AMI）存在严重微循环灌注障碍，心肌灌注异常会导致心功能减低，梗死面积扩大，严重影响患者预后。目前临床缺乏客观定量评估心肌微循环的无创影像学方法。心肌超声造影（MCE）为解决这个难题提供了新方法，但MCE图像分析时存在主观性强、重复性差及费时等不足。针对这些问题，本研究将数据挖掘技术及机器学习理论与医学信息结合，研制一套新型计算机辅助MCE定量诊断系统，拟进行：①体外实验：在前期医工合作基础上，研究中智相似积分（NSS）算法自动分割心肌；进而研发包括自动合理分区、定量测定与彩色编码心肌微循环灌注、自动计算射血分数及梗死面积等多功能一体化MCE图像分析系统；②体内实验：建立AMI和心肌微血管再生动物模型，应用新辅助系统评估心梗诊疗中心肌微循环、心功能及梗死面积等变化，利用免疫荧光微血管染色、心导管及Masson染色等方法验证其准确性与实用性，为临床精准诊治AMI提供影像学依据。

It has been a poor prognosis and long-term survival in acute myocardial infarction (AMI) patients with dysfunction of myocardial microcirculation, which leads to reduced cardiac function and enlarged myocardial infarct size. Currently, the evaluation of microcirculation and cardiac function are unavailable due to lack of noninvasive monitor methods. Myocardial contrast echocardiography（MCE）can provide the possibility for microcirculation and cardiac function. However, there are still many shortcomings during the process of the MCE image analysis, such as subjectivity, poor reproducibility and time-consuming. To solve these shortages, data mining and machine learning theories will be combined with medical information in this research, and a novel computer-aided image analysis system for MCE based on neutrosophic similarity score (NSS) will be developed in the study. Our purpose includes: ①In vitro study: Endocardium and epicardium in MCE image will be automatically identified and the myocardium will be automatically located based on NSS analysis. This novel image analysis system for MCE will successfully accomplish automatic positioning of the myocardium, reasonable partitions of myocardium, quantitative calculation of myocardial microcirculation perfusion intensity, color-coded map of the myocardial perfusion, and measurement of ejection fraction and infarct size. ②In vivo study: Myocardial microcirculation, cardiac function and infarct size will be evaluated in the SD rats model of AMI and myocardial microvascular regeneration. The accuracy and practicability of the novel computer-aided system will be validated through cardiac catheterization, immunofluorescence and Masson staining. The system will provide imaging evidence for clinical precise diagnosis and treatment of AMI.