房颤消融目标定位转子映射算法的发展

Prasanth Ganesan, E. Cherry, A. Pertsov, B. Ghoraani
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引用次数: 2

摘要

导管消融治疗包括肺静脉(PV)的隔离仍然是治疗房颤的基础程序。然而,由于PV隔离的次优成功率,需要新的消融技术来定位房颤消融目标,即PV外的转子。在本文中,我们开发了一种新的转子映射算法,该算法使用传统的诊断导管Lasso来定位转子源。该算法被称为转子区域(ROR)映射,利用局部双极电图的特征来导航导管的迭代放置,同时生成覆盖在心房解剖结构上的地图,显示潜在的转子区域。我们使用具有非均匀传导特性的组织上AF的二维模拟来评估开发的ROR映射算法。结果表明,在距离地面真值轨迹平均1.4mm的情况下,准确定位转子区域的成功率为93%。该算法可以在非pv房颤消融目标的定位和改善房颤消融结果中发挥关键作用。
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Development of a Rotor-Mapping Algorithm to Locate Ablation Targets During Atrial Fibrillation
Catheter ablation therapy involving isolation of pulmonary veins (PVs) remains the cornerstone procedure to treat AF. However, due to the sub-optimal success rates of PV isolation, there is a need for new ablation techniques to locate AF ablation targets known as rotors, outside of the PVs. In this paper, we developed a novel rotor-mapping algorithm that uses a conventional diagnostic catheter, Lasso, to locate a rotor source. The algorithm, called the Region of Rotor (ROR) Mapping, utilizes the characteristics of local bipolar electrograms to navigate the catheter's iterative placements while generating a map, overlaid on the atrial anatomy, that displays the potential rotor region. We evaluated the developed ROR mapping algorithm using a 2D simulation of AF on a tissue with heterogeneous conduction properties. The results demonstrated a significant success rate of 93% in accurately locating the region of the rotor with a mean distance of 1.4mm from the ground truth trajectory. The algorithm could play a critical role in mapping non-PV AF ablation targets and improving the outcome of AF ablation.
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