Detection Algorithm of Phase Singularity Using Phase Variance Analysis for Epicardial Optical Mapping Data
Detection Algorithm of Phase Singularity Using Phase Variance Analysis for Epicardial Optical Mapping Data
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DOI：
10.1109/tbme.2015.2502726
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发表时间：
2016-09-01
影响因子：
4.6
通讯作者：
Sakuma, Ichiro
中科院分区：
文献类型：
--
作者：
Tomii, Naoki;Yamazaki, Masatoshi;Sakuma, Ichiro
目的：螺旋折返是心动过速的公认原因。螺旋核的检测和跟踪对于理解螺旋波动力学至关重要。螺旋的核心对应于相位奇点（PS），可以通过核卷积方法在光学映射图像中识别相位奇点。但由于存在大量误报，该方法无法自动稳定地跟踪光学测绘数据中维持螺旋再入的核心。方法：我们开发了一种新的 PS 检测算法，该算法可量化相位图中相位值的方差，并将 PS 的位置识别为其峰值。结果：与核卷积方法相比，我们的方法将单个维持螺旋波核的检测精度从73.1％提高到99.8％。所提出的虚拟电极极化引起的多 PS 检测方法的精度也高于卷积方法。结论：该方法通过寻找心脏光学映射图像相位方差分布中的峰值来检测PS。与传统的核卷积方法相比，提高了心脏光学映射图像中螺旋波的核心检测精度。意义：所提出的方法将比现有方法更好地揭示光学测绘图像中的螺旋波动力学。螺旋波的客观分析方法对于理解严重心律失常的机制和动力学具有重要意义。
Objective: Spiral reentry is a recognized cause of tachycardia. Detection and tracking of the spiral core are essential for understanding the spiral wave dynamics. The core of the spiral corresponds to a phase singularity (PS), which can be identified in an optical mapping image by a kernel convolution method. However, because of a large number of false positives, this method cannot automatically and stably track the core of sustaining spiral reentry in optical mapping data. Method: We developed a new PS detection algorithm that quantifies the variance of phase values in a phase map and identifies the position of PS as its peak. Results: In comparison with the kernel convolution method, our method improved the precision of detecting a single sustaining spiral wave core from 73.1% to 99.8%. The precision of the proposed method for virtual-electrode-polarization-induced multiple PSs detections was also higher than the convolutional method. Conclusion: The proposed method detects PS by finding the peaks in the phase variance distribution of cardiac optical mapping image. It improved the precision of the core detection of the spiral wave in cardiac optical mapping images in comparison with the conventional kernel convolution method. Significance: The proposed method will reveal the spiral wave dynamics in optical mapping images better than existing approaches. The objective analysis method of a spiral wave is important for understanding the mechanisms and dynamics of serious heart arrhythmias.