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

机译:心脏MR图像中的梗塞区和梗塞区的分割

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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:本文提出了一种分割心脏左心室壁梗塞和梗塞周围组织的新方法。本文是受最近的发现启发的,该发现表明梗塞和梗塞周围区域是心肌梗塞后的独立预测因子。本文提出了一种在梗塞和梗塞周围组织增强的情况下分割左心室的心内膜和心外膜轮廓的方法。提出了一种使用形状先验的水平设置方法,该方法是从电影MR图像上的心室壁的3D活动外观模型获得的。从提取的3D心脏心室壁中,提出了一种使用强度,体积,形状和心壁厚度特征分割梗塞和梗塞周围组织的方法。使用所提出的方法计算舒张末期容积,收缩末期容积,心肌质量,射血分数以及梗塞和梗塞周围质量的参数,并与心脏病专家提供的金标准进行比较。有希望的结果和比较证明了我们的方法在实际的计算机辅助诊断系统中的潜力。

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