Background

The Electrocardiographic Imaging (ECGI) technique, used to non-invasively reconstruct the epicardial electrical activity, requires an accurate model of the atria and torso anatomy. Here we evaluate a new automatic methodology able to locate the atrial anatomy within the torso based on an intrinsic electrical parameter of the ECGI solution.

Methods

In 28 realistic simulations of the atrial electrical activity, we randomly displaced the atrial anatomy for ±2.5 cm and ±30° on each axis. An automatic optimization method based on the L-curve curvature was used to estimate the original position using exclusively non-invasive data.

Results

The automatic optimization algorithm located the atrial anatomy with a deviation of 0.5 ± 0.5 cm in position and 16.0 ± 10.7° in orientation. With these approximate locations, the obtained electrophysiological maps reduced the average error in atrial rate measures from 1.1 ± 1.1 Hz to 0.5 ± 1.0 Hz and in the phase singularity position from 7.2 ± 4.0 cm to 1.6 ± 1.7 cm (p < 0.01).

Conclusions

This proposed automatic optimization may help to solve spatial inaccuracies provoked by cardiac motion or respiration, as well as to use ECGI on torso and atrial anatomies from different medical image systems.

中文翻译：

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心电图通过电子手段优化心房位置

背景

用于无创地重建心外膜电活动的心电图成像（ECGI）技术需要心房和躯干解剖结构的精确模型。在这里，我们评估了一种新的自动方法，能够基于ECGI解决方案的固有电参数在躯干内定位心房解剖结构。

方法

在对心房电活动进行的28个现实模拟中，我们将心房解剖结构在每个轴上随机移动了±2.5 cm和±30°。使用基于L曲线曲率的自动优化方法，仅使用非侵入性数据来估计原始位置。

结果

自动优化算法可对心房解剖结构进行定位，其位置偏差为0.5±0.5 cm，方向偏差为16.0±10.7°。在这些近似位置上，获得的电生理图将心律测量值的平均误差从1.1±1.1 Hz减小到0.5±1.0 Hz，并且相异点位置的平均误差从7.2±4.0 cm减小到1.6±1.7 cm（p <0.01）。

结论

提出的这种自动优化可能有助于解决心脏运动或呼吸引起的空间误差，以及将ECGI用于来自不同医学影像系统的躯干和心房解剖结构。