Characterization of respiratory and cardiac motion from electro-anatomical mapping data for improved fusion of MRI to left ventricular electrograms.
Characterization of respiratory and cardiac motion from electro-anatomical mapping data for improved fusion of MRI to left ventricular electrograms.
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DOI：
10.1371/journal.pone.0078852
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Nezafat R
中科院分区：
文献类型：
--
作者：
Roujol S;Anter E;Josephson ME;Nezafat R
晚期钆增强磁共振成像（MRI）和电解剖电压标测（EAM）的准确融合是评价MRI识别室性心动过速基底的潜力所必需的。然而，这两个数据集不是在相同的心脏相位采集的，并且EAM数据被呼吸运动破坏，限制了当前刚性融合技术的准确性。因此，需要EAM期间的心脏和呼吸运动的知识来增强融合过程。在这项研究中，我们提出了一种新的方法来表征心脏和呼吸运动的EAM数据使用的时间演变的3D导管位置记录从临床EAM系统。使用多频带滤波器从记录的导管位置提取心脏和呼吸运动分量。使用心率和呼吸率的估计值针对每个EAM点校准滤波器。该方法首先在数值模拟中使用从5名健康受试者中采集的真实的时间MRI数据生成的心脏和呼吸运动的3D模型进行评估。在数值模拟中，发现心脏和呼吸运动估计的精度为0.6-0.7 mm。然后对27例接受LV标测治疗室性心动过速的患者进行心脏和呼吸运动的特征分析。心脏和呼吸运动的平均最大幅度分别为10.2±2.7 mm（最小值= 5.5，最大值= 16.9）和8.8±2.3 mm（最小值= 4.3，最大值= 14.8）。 3D心脏和呼吸运动可以从记录的导管位置估计，并且该方法不依赖于额外的成像模态，例如X射线荧光透视，并且可以在传统的电生理学实验室设置中使用。
Accurate fusion of late gadolinium enhancement magnetic resonance imaging (MRI) and electro-anatomical voltage mapping (EAM) is required to evaluate the potential of MRI to identify the substrate of ventricular tachycardia. However, both datasets are not acquired at the same cardiac phase and EAM data is corrupted with respiratory motion limiting the accuracy of current rigid fusion techniques. Knowledge of cardiac and respiratory motion during EAM is thus required to enhance the fusion process. In this study, we propose a novel approach to characterize both cardiac and respiratory motion from EAM data using the temporal evolution of the 3D catheter location recorded from clinical EAM systems. Cardiac and respiratory motion components are extracted from the recorded catheter location using multi-band filters. Filters are calibrated for each EAM point using estimates of heart rate and respiratory rate. The method was first evaluated in numerical simulations using 3D models of cardiac and respiratory motions of the heart generated from real time MRI data acquired in 5 healthy subjects. An accuracy of 0.6–0.7 mm was found for both cardiac and respiratory motion estimates in numerical simulations. Cardiac and respiratory motions were then characterized in 27 patients who underwent LV mapping for treatment of ventricular tachycardia. Mean maximum amplitude of cardiac and respiratory motion was 10.2±2.7 mm (min = 5.5, max = 16.9) and 8.8±2.3 mm (min = 4.3, max = 14.8), respectively. 3D Cardiac and respiratory motions could be estimated from the recorded catheter location and the method does not rely on additional imaging modality such as X-ray fluoroscopy and can be used in conventional electrophysiology laboratory setting.
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影响因子：
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