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Myocardium segmentation using a priori knowledge of shape and a spatial relation

机译:使用形状和空间关系的先验知识进行心肌分割

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We propose a new method to segment the myocardium based on Active Shape Model - ASM and a spatial distance relation. The main idea is to take advantage from statistical a priori knowledge of the shape that exists in ASM, in order to model the shape of both structures to be segmented, and integrate a new a priori knowledge about the variation of a spatial distance relation between them. This knowledge is estimated during a training step, then, the obtained models are used to guide the segmentation process. The proposed method is applied to endocardial and epicardial contours segmentation in axial CT scan slices of the heart. The obtained results are encouraging and show the performance of the proposed method.
机译:我们提出了一种新的基于活动形状模型-ASM和空间距离关系的心肌分割方法。主要思想是利用ASM中存在的形状的先验知识进行统计,以便对要分割的两个结构的形状进行建模,并整合有关它们之间空间距离关系变化的新先验知识。在训练步骤中估计该知识,然后,将获得的模型用于指导分割过程。该方法适用于心脏轴向CT扫描切片的心内膜和心外膜轮廓分割。获得的结果令人鼓舞,并表明了所提出方法的性能。

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