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Identification of border-zone corridors in the left ventricle using the Core Expansion method

机译:使用核心扩展方法识别左心室的边界区走廊

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This article presents the Core Expansion method to automatically detect border-zone corridors in MRI images of the left ventricle, to serve as guidance to Ventricular Tachycardia (VT) ablation. The method relies on the fact that the different gray level intensities of Delayed Contrast-Enhanced Magnetic Resonance Images (DE-MRI) encode information about the fibrotic tissue. These differences in intensities among tissue types allow separating dense scar from healthy areas of the myocardium, and identify the border-zone region. After generating an onion-like layer-based 3D model of the left ventricle, the method detects potential corridors in the border-zone that can become electrical circuits of low conductivity. These circuits can be responsible for arrhythmic events. The method has been tested both in phantoms and patients. In patients there was a high degree of correlation between the channels detected and those visually identified by an expert on the MRI. Whenever electroanatomical maps were available post-intervention, the MRI detected channels were found to have a high degree of correlation with them.
机译:本文介绍了核心扩展方法,可自动检测左心室MRI图像中的边界区走廊,以指导室速心动过速(VT)消融。该方法基于以下事实:延迟对比度增强磁共振图像(DE-MRI)的不同灰度强度编码有关纤维化组织的信息。组织类型之间强度的这些差异允许将密集的疤痕与心肌的健康区域分开,并确定边界区域。在生成左心室的类似洋葱的基于层的3D模型后,该方法将检测边界区域中的潜在通道,这些通道可能会变成低电导率的电路。这些回路可能导致心律不齐。该方法已经在幻影和患者中进行了测试。在患者中,检测到的通道与由MRI专家视觉识别的通道之间存在高度相关性。干预后只要有电解剖图可用,则MRI检测到的通道与它们之间具有高度相关性。

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