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用于评估心电图成像重建技术的新型实验准备

Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques.

作者信息

Bergquist Jake A, Zenger Brian, Good Wilson W, Rupp Lindsay C, Bear Laura R, MacLeod Rob S

机构信息

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA.

Nora Eccles Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA.

出版信息

Comput Cardiol (2010). 2020 Sep;47. doi: 10.22489/cinc.2020.458. Epub 2021 Feb 10.

Abstract

Electrocardiographic imaging (ECGI) systems are still plagued by a myriad of controllable and uncontrollable sources of error, which makes studying and improving these systems difficult. To mitigate these errors, we developed a novel experimental preparation using a rigid pericardiac cage suspended in a torso-shaped electrolytic tank. The 256-electrode cage was designed to record signals 0.5-1.0 cm above the entire epicardial surface of an isolated heart. The cage and heart were fixed in a 192-electrode torso tank filled with electrolyte with predetermined conductivity. The resulting signals served as ground truth for ECGI performed using the boundary element method (BEM) and method of fundamental solutions (MFS) with three regularization techniques: Tikhonov zero-order (Tik0), Tikhonov second-order (Tik2), truncated singular value decomposition (TSVD). Each ECGI regularization technique reconstructed cage potentials from recorded torso potentials well with spatial correlation above 0.7, temporal correlation above 0.8, and root mean squared error values below 0.7 mV. The earliest site of activation was best identified by MFS using Tik0, which localized it to within a range of 1.9 and 4.8 cm. Our novel experimental preparation has shown unprecedented agreement with simulations and represents a new standard for ECGI validation studies.

摘要

心电图成像(ECGI)系统仍然受到无数可控和不可控误差源的困扰,这使得研究和改进这些系统变得困难。为了减轻这些误差,我们开发了一种新颖的实验准备方法,使用悬挂在躯干形状电解槽中的刚性心包笼。256电极笼设计用于记录离体心脏整个心外膜表面上方0.5 - 1.0厘米处的信号。笼子和心脏固定在一个装有具有预定电导率电解质的192电极躯干槽中。所得信号作为使用边界元法(BEM)和基本解方法(MFS)以及三种正则化技术(Tikhonov零阶(Tik0)、Tikhonov二阶(Tik2)、截断奇异值分解(TSVD))进行ECGI的地面真值。每种ECGI正则化技术都能很好地从记录的躯干电位重建笼子电位,空间相关性高于0.7,时间相关性高于0.8,均方根误差值低于0.7 mV。最早的激活部位通过使用Tik0的MFS能得到最佳识别,其将其定位在1.9至4.8厘米的范围内。我们新颖的实验准备方法与模拟结果显示出前所未有的一致性,代表了ECGI验证研究的新标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc8f/8082331/b743dd81c918/nihms-1695016-f0001.jpg

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