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Segmentation of the Infarct and Peri-infarct Zones in Cardiac MR Images

机译:心脏MR图像中梗塞和PERI-IMARCT区的分割

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This paper presents a novel approach for segmentation of the infarct and peri-infarct tissue in the left ventricular wall of the heart. This paper is motivated by a recent finding that shows the infarct and peri-infarct zones to be independent predictors of post myocardial infarction. This paper proposes a method to segment the endocardial and epicardial contours of the left ventricle in the presence of the enhanced infarct and peri-infarct tissues. A level set method using shape priors, obtained from a 3D active appearance model of the ventricle wall on cine MR images is presented. From the extracted 3D cardiac ventricular wall, a method is proposed to segment the infarct and peri-infarct tissues using intensity, volume, shape and heart wall thickness features. The parameters of end-diastolic volume, end-systolic volume, myocardial mass, ejection fraction and infarct and peri-infarct mass are computed using the proposed method and compared with the gold standard provided by the cardiologists. Promising results and comparisons demonstrate the potential of our approach for a practical computer assisted diagnostic system.
机译:本文提出了一种新的心脏梗塞和梗塞梗死组织的新方法。本文的激励是最近的发现,该发现显示了梗塞和Peri-infarct区是心肌梗死后的独立预测因子。本文提出了一种在增强的梗塞和Peri-Infarct组织存在下分段为左心室的心内膜和心外膜轮廓的方法。呈现了从Cine MR图像上的心室壁的3D主动外观模型获得的形状前沿的水平集方法。从提取的3D心室壁中,提出了一种使用强度,体积,形状和心脏厚度特征对梗塞和梗塞组织进行分割。使用该方法计算末端舒张型体积,末端收缩量,心肌质量,喷射分数和梗塞和梗塞物质的参数,并与心脏病学家提供的金标准相比。有希望的结果和比较展示了我们对实际计算机辅助诊断系统的方法的潜力。

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