射频导管消融热机器人导航的无网格建模

Konstantinos A. Mountris, R. Schilling, A. Casals, H. Wurdemann
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引用次数: 0

摘要

心律失常的射频导管消融(RFCA)通常通过手动导航导管进行。然而,远程导航技术——利用磁场或机器人进行导管转向的技术是可行的。这些技术的临床经验表明,与磁场导航相比,机器人可以获得更高的接触力[1]。这转化为更有效的消融病变,但如果施加过大的接触力,可能导致心脏穿孔的风险更高[2]。然而,机器人导航系统不再商业化,其进展也停滞不前。为了保证下一代机器人导航系统的高效率和低并发症风险,必须考虑组织热分布。热分布模拟的计算模型可以有效预测病变的形成[3]。然而,它们的临床应用是有限的,因为它们是为单部位消融而开发的,数值精度取决于网格离散化的质量。在这项工作中,我们提出了一种新的无网格模型来模拟机器人导航辅助消融过程中的组织热分布。该模型考虑了非零初始条件和随时间变化的边界条件来模拟多点烧蚀。模型的数值解采用无网格脆弱点法(FPM),因为FPM不需要定义网格[4],[5],以确保其适合临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meshless Modelling for Heat-based Robotic Navigation of Radio Frequency Catheter Ablation
Radio frequency catheter ablation (RFCA) of cardiac arrhythmia is commonly performed by navigating the catheter manually. Nevertheless, remote navigation tech- niques where catheter steering is performed using either a magnetic field or robotically are available. Clinical ex- perience with these techniques demonstrated that higher contact forces can be achieved with robotic compared to magnetic field navigation [1]. This translates into more effective ablation lesions, but if excessive contact force is applied it may lead to higher risk of cardiac perforation [2]. However, the robotic navigation system is no longer commercially available and advancements have been stalled. To ensure high effectiveness and low complica- tion risk in next-gen robotic navigation systems, tissue heat distribution should be taken into account. Compu- tational models for heat distribution simulation predict lesion formation effectively [3]. However, their clinical application is limited since they have been developed for single-site ablation and numerical accuracy depends on the quality of mesh discretization. In this work, we propose a novel meshless model to simulate tissue heat distribution during robotic navigation assisted ablation. The model accounts for non-zero initial conditions and time dependent boundary conditions to simulate multi- site ablation. The meshless Fragile Points Method (FPM) is employed for the numerical solution of the model to ensure its suitability for clinical application, since FPM does not require the definition of a mesh [4], [5].
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