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Pilot Study on Vascular Intervention Training based on Blood Flow Effected Guidewire Simulation

机译:基于血流实现导丝仿真的血管干预训练试验研究

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A decent guidewire behavior simulation is vital to the virtual vascular intervention training. The influence of blood flow has rarely been taken into consideration in former works of guidewire simulation. This paper addresses the problem by integrating blood flow analysis and proposes a novel guidewire simulation model. The blood flow distribution inside arterial vasculature is computed by separating the vascular model into discrete cylindrical vessels and modeling the flow in each vessel with the Poiseuille Law. The blood flow computation is then integrated into a Kirchhoff rods model. The simulation could be run in real time with hardware acceleration at least 30 fps. To validate the result, an experiment environment with a 3D printed vascular phantom and an electromagnetic tracking (EMT) system was set up with clinical-used guidewire sensors applied in phantom to trace its motion as the standard for comparison. Experiment results reveal that the shown blood flow effected model presents better physical credibility with a lower and more stable root-mean-square (RMS) at 2.14mm±1.24mm, better than the Kirchhoff model of 4.81mm±3.80mm.
机译:一个体面的导游行为模拟对于虚拟血管干预培训至关重要。在导丝仿真的前作品中,血流的影响很少被考虑。本文通过集成血流分析并提出一种新颖的导丝仿真模型来解决问题。通过将血管模型分离成离散圆柱形容器并用Poiseuille Lave将流量建模,通过将血管模型分离成血管脉管系统内的血流分布。然后将血流计算集成到Kirchhoff Rods模型中。模拟可以实时运行,硬件加速度至少为30 fps。为了验证结果,建立了具有3D印刷血管幻像和电磁跟踪(EMT)系统的实验环境,临床使用的导丝传感器施用于幻影,以追踪其运动作为比较标准。实验结果表明,所示的血流影响模型具有更高且更稳定的根平均方形(RMS)的更好的身体可信度,比2.14mm±1.24mm更好,优于4.81mm±3.80mm的Kirchhoff型号。

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