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A Statistical Approach for Detecting Tubular Structures in Myocardial Infarct Scars

机译:统计方法检测心肌梗死疤痕的管状结构

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The presence of an infarct scar in the heart generates abnormal electrical pathways that may trigger the occurrence of arrhythmic episodes. While precise models of the electric propagation in the heart have been proposed, we are just starting to observe and analyze infarct scars using high-resolution imaging techniques. Recent observations have shown that the scar is a highly heterogeneous tissue, characterized by a complex interface with surrounding myocardium. For instance, the infarct scar is perforated by tunnels of live tissue, which could generate abnormal activation pathways and therefore facilitate arrhythmia episodes. In order to characterize the role of such structures, we need to first delineate them. In this paper, we propose an automatic method for the detection of these tunnels of normal tissue through scars in high resolution MR images.
机译:心脏中梗塞疤痕的存在会产生异常的电通路,这可能会触发心律不齐发作。虽然已经提出了心脏电传播的精确模型,但我们才刚刚开始使用高分辨率成像技术观察和分析梗塞疤痕。最近的观察表明,瘢痕是高度异质的组织,其特征是与周围的心肌形成复杂的界面。例如,梗塞疤痕被活组织的隧道穿孔,这可能会产生异常的激活途径,从而促进心律不齐的发作。为了表征此类结构的作用,我们需要首先对其进行描述。在本文中,我们提出了一种自动方法,用于通过高分辨率MR图像中的疤痕检测正常组织的这些隧道。

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