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Comparison of Rule-Based and DTMRI-Derived Fibre Architecture in a Whole Rat Ventricular Computational Model

机译:在整个大鼠心室计算模型中基于规则和DTMRI衍生的光纤架构的比较

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The anisotropic electrical conduction within myocardial tissue due to preferential cardiac myocyte orientation ('flbre orientation) is known to impact strongly in electrical wavefront dynamics, particularly during arrhythmogenesis. Faithful representation of cardiac fibre architecture within computational cardiac models which seek to investigate such phenomena is thus imperative. Drawbacks in derivation of fibre structure from imaging modalities often render rule-based representations based on a priori knowledge preferential. However, the validity of using such rule-based approaches within whole ventricular models remains unclear. Here, we present the development of a generic computational framework to directly compare the fibre architecture predicted by rule-based methods used within whole ventricular models against fibre structure derived from DTMRI data, and assess how relative differences influence propagation dynamics throughout the ventricles. Results demonstrate the close overall match between the methods within the rat ventricles, and highlight regions for potential rule-adaption.
机译:已知由于优先的心肌细胞取向(“纤维取向”)而在心肌组织内产生的各向异性导电强烈影响电波阵面动力学,尤其是在心律失常过程中。因此,在试图研究这种现象的计算心脏模型中,必须忠实地表示心脏纤维结构。从成像模态推导纤维结构的缺点经常使基于先验知识的基于规则的表示成为优先。但是,在整个心室模型中使用这种基于规则的方法的有效性仍然不清楚。在这里,我们介绍了通用计算框架的开发,以直接比较整个心室模型中使用的基于规则的方法预测的纤维结构与DTMRI数据得出的纤维结构,并评估相对差异如何影响整个心室的传播动力学。结果表明,大鼠脑室内方法之间的整体匹配紧密,并突出了潜在的规则适应区域。

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