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A rule-based method to modelmyocardial fiber orientation in cardiac biventricular geometries with outflow tracts

机译:基于规则的方法对带有流出道的心脏双心室几何结构中的心肌纤维方向进行建模

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Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventricle. As a consequence, fiber information obtained from rule-based methods often does not match histological data in other areas of the heart such as the right ventricle, having a negative impact in cardiac simulations beyond the left ventricle. In this work, we present a rule-based method where fiber orientation is separately modeled in each ventricle following observations from histology. This allows to create detailed fiber orientation in specific regions such as the endocardium of the right ventricle, the interventricular septum, and the outflow tracts. We also carried out electrophysiological simulations involving these structures and with different fiber configurations. In particular, we built a modeling pipeline for creating patient-specific volumetric meshes of biventricular geometries, including the outflow tracts, and subsequently simulate the electrical wavefront propagation in outflow tract ventricular arrhythmias with different origins for the ectopic focus. The resulting simulations with the proposed rule-based method showed a very good agreement with clinical parameters such as the 10 ms isochrone ratio in a cohort of nine patients suffering from this type of arrhythmia. The developed modeling pipeline confirms its potential for an in silico identification of the site of origin in outflow tract ventricular arrhythmias before clinical intervention.
机译:基于规则的方法通常用于将纤维方向分配给心脏解剖模型。但是,现有的方法主要使用左心室的数据开发。结果,从基于规则的方法获得的纤维信息通常与心脏其他区域(如右心室)的组织学数据不匹配,从而对超出左心室的心脏模拟产生负面影响。在这项工作中,我们提出了一种基于规则的方法,根据组织学观察结果,在每个心室中分别对纤维取向进行建模。这允许在特定区域(例如右心室的心内膜,室间隔和流出道)中创建详细的纤维方向。我们还进行了涉及这些结构和不同纤维配置的电生理模拟。尤其是,我们建立了一个建模管道,用于创建患者特定的双心室几何体的体积网格,包括流出道,然后模拟异位病灶的起源不同的流出道心律失常的电波前传播。使用建议的基于规则的方法进行的模拟结果表明,与临床参数非常吻合,例如在9名患有这种类型的心律不齐的患者中,异位酮比为10 ms。已开发的建模管道证实了其在临床干预前进行计算机识别出流道室性心律失常起源部位的潜力。

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