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Detection of phase singularities in triangular meshes.

机译:检测三角形网格中的相奇异性。

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OBJECTIVES: Phase singularities have become a key marker in animal and computer models of atrial and ventricular fibrillation. However, existing algorithms for the automatic detection of phase singularities are limited to regular, quadratic mesh grids. We present an algorithm to automatically and exactly detect phase singularities in triangular meshes. METHODS: For each node an oriented path inscribing the node with one unit of spatial discretization is identified. At each time step the phase information is calculated for all nodes. The so-called topological charge is also computed for each node. A non-zero (+/- 2pi) charge is obtained for all nodes with a path enclosing a phase singularity. Thus all charged nodes belonging to the same phase singularity have to be clustered. RESULTS: With the use of the developed algorithm, phase singularities can be detected in triangular meshes with an accuracy of below 0.2 mm - independent of the type of membrane kinetics used. CONCLUSIONS: With the possibility to detect phase singularities automatically and exactly, important quantitative data on cardiac fibrillation can be gained.
机译:目的:相奇异性已成为房颤和心室纤颤的动物和计算机模型中的关键标志。但是,现有的用于自动检测相位奇异点的算法仅限于规则的二次网格。我们提出了一种算法,可以自动准确地检测三角形网格中的相位奇异点。方法:为每个节点确定一条定向路径,该路径将节点与一个空间离散化单元相结合。在每个时间步长,为所有节点计算相位信息。还为每个节点计算所谓的拓扑电荷。对于所有路径都包含相位奇点的节点,将获得非零(+/- 2pi)电荷。因此,必须将属于相同相位奇点的所有带电节点聚类。结果:使用开发的算法,可以在三角形网孔中检测相奇异点,其精确度低于0.2毫米-与所使用的膜动力学类型无关。结论:由于可以自动准确地检测相位奇异点,因此可以获得有关心脏纤颤的重要定量数据。

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