Particle-Based Deformable Modeling with Pre-computed Surface Data in Real-Time Surgical Simulation

Particle-based method has proven to be a powerful tool in real-time surgical simulation for its simplicity and high efficiency. However, it is difficult to model the high-resolution surface deformation details with standard particlebased techniques. In this paper, we propose a novel approach to model the elastic behaviors of organs with complex surfaces in surgical environment. The basic idea of our approach is to introduce an auxiliary surface mesh into the existing particle-based simulation framework, and utilize the pre-computed surface data with experimental biomechanics parameters for deformable modeling. The high-resolution organ deformations and the low-resolution soft tissue deformations are treated in surface-based and particle-based methods respectively. Our method provides an efficient and physical valid way to model the organ deformation details for particle-based surgery simulation techniques without using adaptive particle methods, as shown in our experiment results.