Robust and real-time guidewire simulation based on Kirchhoff elastic rod for vascular intervention training

Robust and real-time guidewire simulation based on Kirchhoff elastic rod for vascular intervention training
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基于基尔霍夫弹性杆的鲁棒实时导丝模拟用于血管介入训练

DOI:
10.1007/s12204-014-1551-1
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发表时间:
2014
影响因子:
--
通讯作者:
Li
Li
中科院分区:
--
文献类型:
--
作者:
Maisheng Luo;Hong;Le Xie;Ping Cai;Li

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基于虚拟现实(VR)的血管介入训练是一项令人着迷的创新,它可以帮助受训者在远离患者的安全环境中培养技能。血管介入训练包括使用柔性尖端导丝推进诊断或治疗导管进入患者血管解剖。本文提出了一种基于基尔霍夫弹性棒的导丝导管复杂行为的实时物理建模方法。导丝和导管的细长体采用更有效的自然直、各向同性Kirchhoff棒的特殊情况进行模拟,而由直或角设计组成的短柔性尖端采用更复杂的广义Kirchhoff棒进行建模。首先推导了具有连续弹性能量的导丝和导管的运动方程,然后采用线性隐式格式对其进行离散化,保证了系统的稳定性和鲁棒性。此外,我们采用快速投影法来加强导丝和导管的不可扩展性,并采用自适应采样算法来提高仿真效率而不降低精度。实验结果表明,所提出的导丝仿真方法具有鲁棒性和实时性。
Virtual reality (VR) based vascular intervention training is a fascinating innovation, which helps trainees develop skills in safety remote from patients. The vascular intervention training involves the use of flexible tipped guidewires to advance diagnostic or therapeutic catheters into a patient’s vascular anatomy. In this paper, a real-time physically-based modeling approach is proposed to simulate complicated behaviors of guidewires and catheters based on Kirchhoff elastic rod. The slender body of guidewire and catheter is simulated using more efficient special case of naturally straight, isotropic Kirchhoff rods, and the short flexible tip composed of straight or angled design is modeled using more complex generalized Kirchhoff rods. We derive the equations of motion for guidewire and catheter with continuous elastic energy, and then they were discretized using a linear implicit scheme that guarantees stability and robustness. In addition, we apply a fast-projection method to enforce the inextensibility of guidewire and catheter, while an adaptive sampling algorithm is implemented to improve the simulation efficiency without reducing accuracy. Experimental results reveal that our guidewire simulation method is both robust and efficient in a real-time performance.
DOI: 10.1007/s00371-009-0312-x
发表时间: 2009-09-01
期刊: VISUAL COMPUTER
影响因子: 3.5
作者:
Luboz, Vincent;Blazewski, Rafal;Bello, Fernando
通讯作者: Bello, Fernando