IEEE Trans Biomed Eng. 2019 Feb;66(2):373-382. doi: 10.1109/TBME.2018.2841340. Epub 2018 May 28.
Ventricular (VT) and atrial (AT) tachycardias are some of the most common clinical cardiac arrhythmias. For ablation of tachycardia substrates, two clinical diagnosis methods are used: invasive electroanatomical mapping for an accurate diagnosis using electrograms (EGMs) acquired with intracardiac catheters, and localized on the surface mesh of the studied cavities; and noninvasive electrocardiographic imaging (ECGi) for a global view of the arrhythmia, with EGMs mathematically reconstructed from body surface electrocardiograms using 3-D cardio-thoracic surface meshes obtained from CT-scans. In clinics, VT and AT are diagnosed by studying activation time maps that depict the propagation of the activation wavefront on the cardiac mesh. Nevertheless, slow conduction areas-a well-known proarrhythmic feature for tachycardias-and tachycardia specific propagation patterns are not easily identifiable with these maps. Therefore, local characterization of the activation wavefront propagation can be helpful for improving VT and AT diagnoses. The purpose of this study is to develop a method to locally characterize the activation wavefront propagation for clinical data. For this, a conduction velocity vector field is estimated and analyzed using divergence and curl mathematical operators. The workflow was first validated on a simulated database from computer models, and then applied to a clinical database obtained from ECGi to improve AT diagnosis. The results show the relevancy and the efficacy of the proposed method to guide ablation of tachyarrhythmias.
室性(VT)和房性(AT)心动过速是最常见的临床心律失常之一。对于心动过速基质的消融,有两种临床诊断方法:使用心内导管获取的电图(EGM)进行侵入性电解剖标测,以进行准确诊断;以及使用从 CT 扫描获得的 3D 心胸表面网格,对研究腔的表面网格进行局部定位;和非侵入性心电图成像(ECGI),以获得心律失常的整体视图,通过从体表心电图数学重建 EGMs。在临床上,通过研究激活时间图来诊断 VT 和 AT,该图描绘了在心脏网格上激活波前的传播。然而,这些地图不容易识别慢传导区——心动过速的一种已知致心律失常特征——和心动过速的特定传播模式。因此,局部描述激活波前的传播有助于改善 VT 和 AT 的诊断。本研究旨在为临床数据开发一种局部描述激活波前传播的方法。为此,使用散度和旋度数学算子估计和分析传导速度矢量场。该工作流程首先在计算机模型的模拟数据库上进行验证,然后应用于从 ECGi 获得的临床数据库,以改善 AT 的诊断。结果表明,该方法对于指导心动过速消融具有相关性和有效性。