Temporal Sparse Promoting Three Dimensional Imaging of Cardiac Activation.

Temporal Sparse Promoting Three Dimensional Imaging of Cardiac Activation.
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DOI:
10.1109/tmi.2015.2429134
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发表时间:
2015-11
影响因子:
10.6
通讯作者:
He B
He B
中科院分区:
工程技术1区
文献类型:
--
作者:
Yu L;Zhou Z;He B

文献摘要

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提出了一种新的心脏电稀疏成像(CESI)技术,通过体表心电图(ECG)和个性化的心脏躯干几何形状的帮助下,在整个三维心肌中成像心脏激活。该算法利用心电活动在时域的稀疏性,提出了一种时间稀疏推进逆解,实现了更高的时空分辨率、更强的鲁棒性,从而增强了心电活动成像能力。计算机模拟进行了评估这种成像方法在各种情况下的性能。共使用了12个单部位起搏和7个双部位起搏模拟,人工和医院记录的传感器噪声,以评估所提出的方法的准确性和稳定性。还对心脏-躯干几何形状和电极-躯干配准进行了建模误差模拟,以评估该技术的稳健性。除了计算机模拟之外,还使用动物模型中的实验数据对CESI算法进行了进一步评价,其中将无创成像的激活序列与同时心内标测测的激活序列进行了比较。所有的CESI结果与传统的加权最小范数解进行了比较。仿真和实验结果表明,该方法具有较好的成像精度、稳定性和较强的鲁棒性。总之,我们提出了一种新的心脏激动成像方法,我们的研究结果表明,CESI具有增强的性能,并提供了潜在的心脏激动成像,并协助室性心律失常的临床管理。
A new Cardiac Electrical Sparse Imaging (CESI) technique is proposed to image cardiac activation throughout the three-dimensional myocardium from body surface electrocardiogram (ECG) with the aid of individualized heart-torso geometry. The sparse property of cardiac electrical activity in the time domain is utilized in the temporal sparse promoting inverse solution, one formulated to achieve higher spatial-temporal resolution, stronger robustness and thus enhanced capability in imaging cardiac electrical activity. Computer simulations were carried out to evaluate the performance of this imaging method under various circumstances. A total of 12 single site pacing and 7 dual sites pacing simulations with artificial and the hospital recorded sensor noise were used to evaluate the accuracy and stability of the proposed method. Simulations with modeling error on heart-torso geometry and electrode-torso registration were also performed to evaluate the robustness of the technique. In addition to the computer simulations, the CESI algorithm was further evaluated using experimental data in an animal model where the noninvasively imaged activation sequences were compared with those measured with simultaneous intracardiac mapping. All of the CESI results were compared with conventional weighted minimum norm solutions. The present results show that CESI can image with better accuracy, stability and stronger robustness in both simulated and experimental circumstances. In sum, we have proposed a novel method for cardiac activation imaging, and our results suggest that the CESI has enhanced performance, and offers the potential to image the cardiac activation and to assist in the clinical management of ventricular arrhythmias.