ArtDefo: accurate real time deformable objects
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Physically-Based Simulation of Objects Represented by Surface Meshes
CGI '04 Proceedings of the Computer Graphics International
A Versatile and Robust Model for Geometrically Complex Deformable Solids
CGI '04 Proceedings of the Computer Graphics International
Point based animation of elastic, plastic and melting objects
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Real-time cloth simulation interacting with deforming high-resolution models
ACM SIGGRAPH 2006 Research posters
A unified particle model for fluid–solid interactions: Research Articles
Computer Animation and Virtual Worlds
Adaptively sampled particle fluids
ACM SIGGRAPH 2007 papers
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
A point-based simulation framework for minimally invasive surgery
ISBMS'10 Proceedings of the 5th international conference on Biomedical Simulation
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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.