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Space Rescaling in the Method of Fundamental Solution Improves the ECGI Reconstruction

机译:基本解法中的空间缩放可改善ECGI的重建

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The method of fundamental solutions (MFS) has been extensively used for the electrocardiographic imaging (ECGI) inverse problem. One of its advantages is that it is a meshless method. We remarked that the using cm instead of mm as a space unit has a high impact on the reconstructed inverse solution. Our purpose is to refine this observation, by introducing a rescaling coefficient in space and study its effect on the MFS inverse solution. Results are provided using simulated test data prepared using a reaction-diffusion model. We then computed the ECGI inverse solution for rescaling coefficient values varying from 1 to 100, and computed the relative error (RE) and correlation coefficient (CC). This approach improved the RE and CC by at least 10 % but can go up to 40 % independently of the pacing site. We concluded that the optimal coefficient depends on the heterogeneity and anisotropy of the torso and does not depend on the stimulation site. This suggests that it is related to an optimal equivalent conductivity estimation in the torso domain.
机译:基本解法(MFS)已被广泛用于心电图成像(ECGI)反问题。它的优点之一是它是一种无网格方法。我们指出,使用cm代替mm作为空间单位对重构的逆解有很大的影响。我们的目的是通过引入空间中的重缩放系数并研究其对MFS逆解的影响来完善此观察结果。使用通过反应扩散模型制备的模拟测试数据提供结果。然后,我们为重新缩放系数值(从1到100)计算了ECGI逆解,并计​​算了相对误差(RE)和相关系数(CC)。这种方法将RE和CC至少提高了10%,但可以独立于起搏部位而提高到40%。我们得出结论,最佳系数取决于躯干的异质性和各向异性,而不取决于刺激部位。这表明它与躯干域中的最佳等效电导率估计有关。

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