Yu Long, Zhou Zhaoye, He Bin
IEEE Trans Med Imaging. 2015 Nov;34(11):2309-19. doi: 10.1109/TMI.2015.2429134. Epub 2015 May 4.
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.
一种新的心脏电稀疏成像(CESI)技术被提出来,借助个体化的心脏-躯干几何模型,从体表心电图(ECG)对整个三维心肌的心脏激活进行成像。时域中心脏电活动的稀疏特性被用于时间稀疏促进逆解,该逆解旨在实现更高的时空分辨率、更强的稳健性,从而增强心脏电活动成像能力。进行了计算机模拟以评估这种成像方法在各种情况下的性能。总共使用了12次单部位起搏和7次双部位起搏模拟,包括人工噪声和医院记录的传感器噪声,来评估所提方法的准确性和稳定性。还进行了心脏-躯干几何模型和电极-躯干配准存在建模误差的模拟,以评估该技术的稳健性。除了计算机模拟外,还使用动物模型中的实验数据对CESI算法进行了进一步评估,将无创成像的激活序列与同步心内标测测量的序列进行比较。所有CESI结果都与传统的加权最小范数解进行了比较。目前的结果表明,CESI在模拟和实验情况下都能以更高的准确性、稳定性和更强的稳健性进行成像。总之,我们提出了一种用于心脏激活成像的新方法,我们的结果表明CESI具有增强的性能,并且具有对心脏激活进行成像以及协助室性心律失常临床管理的潜力。