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Deformation of Soft Tissue and Force Feedback Using the Smoothed Particle Hydrodynamics

机译:使用平滑粒子流体动力学的软组织变形和力反馈

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摘要

We study the deformation and haptic feedback of soft tissue in virtual surgery based on a liver model by using a force feedback device named PHANTOM OMNI developed by SensAble Company in USA. Although a significant amount of research efforts have been dedicated to simulating the behaviors of soft tissue and implementing force feedback, it is still a challenging problem. This paper introduces a kind of meshfree method for deformation simulation of soft tissue and force computation based on viscoelastic mechanical model and smoothed particle hydrodynamics (SPH). Firstly, viscoelastic model can present the mechanical characteristics of soft tissue which greatly promotes the realism. Secondly, SPH has features of meshless technique and self-adaption, which supply higher precision than methods based on meshes for force feedback computation. Finally, a SPH method based on dynamic interaction area is proposed to improve the real time performance of simulation. The results reveal that SPH methodology is suitable for simulating soft tissue deformation and force feedback calculation, and SPH based on dynamic local interaction area has a higher computational efficiency significantly compared with usual SPH. Our algorithm has a bright prospect in the area of virtual surgery.
机译:我们使用美国SensAble公司开发的名为PHANTOM OMNI的力反馈装置,在基于肝脏模型的虚拟手术中研究了软组织的变形和触觉反馈。尽管已经进行了大量的研究工作来模拟软组织的行为并实现力反馈,但这仍然是一个具有挑战性的问题。本文介绍了一种基于粘弹性力学模型和光滑粒子流体动力学(SPH)的无网格方法,用于软组织的变形模拟和力的计算。首先,粘弹性模型可以表现出软组织的力学特性,极大地促进了现实。其次,SPH具有无网格技术和自适应功能,比基于网格的力反馈计算方法具有更高的精度。最后,提出了一种基于动态交互区域的SPH方法,以提高仿真的实时性。结果表明,SPH方法适用于模拟软组织的变形和力反馈计算,与动态SPH相比,基于动态局部相互作用区域的SPH具有更高的计算效率。我们的算法在虚拟手术领域具有广阔的前景。

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