Particle-Based Multiphase Coupling Method in Virtual Surgery

Abstract

Disclosed is a particle-based multiphase coupling method in a virtual surgery. The method comprises the steps that particle three-dimensional models are generated for soft tissues and rigid bodies involved in the virtual surgery respectively according to triangular mesh models on the surfaces of three-dimensional tissues, a particle liquid model is established for liquid by the adoption of the SPH method, particle mechanical models of the soft tissues, the liquid and the rigid bodies are established, the soft tissues and the liquid are defined as rheological bodies, a rheological viscosity coefficient is defined between any two in-phase or any two out-phase particles of soft tissue particles and liquid particles, and collision detection and response based on boundary particles and a multiphase coupling function are carried out. The particle-based multiphase coupling method is applied to the virtual surgery and commonly used and is accurate and efficient, and the accurate and efficient multiphase coupling simulation can be achieved in virtual surgery stimulation.

Description

technical field [0001] The invention belongs to the technical field of computer simulation and virtual reality, and in particular relates to a general, accurate and efficient particle-based multiphase coupling method applied in virtual surgery. Background technique [0002] With the rapid development of computer simulation computing and virtual reality technology, virtual surgery simulation research and related applications have become a rapidly developing field in the world, and virtual surgery simulators represented by Simbionix have been widely used by surgeons in many operations training and evaluation. Real surgery often involves multiphase coupling (coupling between soft tissue, liquid and rigid body) of objects of different nature, such as the contact coupling between surgical instruments and body fluids and soft tissues in abdominal surgery, and the contact coupling between body fluids and tissues and tumors. The simulation of coupling phenomena requires high accura...

AI Technical Summary

Problems solved by technology

[0006] (1) With the increase of the complexity of the virtual surgery simulation scene, the complexity of the existing method to deal with the complex model scene is getting higher and higher, and it is more and more unable to adapt to the simulation of the complex scene. Therefore, there is an urgent need for a higher authenticity A general multiphase coupling model suitable for arbitrary complex models and simulations of various complex scenarios

Moreover, the shape and size of real human soft tissue are complex and changeable. Existing methods cannot accurately generate internal volume data for arbitrarily complex human soft tissue models. Models accurately generate internal volume data

[0007] (2) Most of the existing physics-based coupling methods usually use the meshless method similar to the SPH method to model the fluid, and use the linear elastic model to model the soft tissue. These methods lack the consideration of the properties of the fluid and soft tissue

[0008] (3) The existing methods are more complex in dealing with multi-object and multi-phase coupling processes (including collision detection and response), consume more resources in the process of collision detection and response, and usually select the particle closest to the moving particle as the collision Points, lack of accuracy, prone to penetration, so an accurate and efficient collision detection and response algorithm is needed to realize the multi-object, multi-phase coupling process

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