SIMULATION OF ELASTIC SOFT TISSUE DEFORMATION IN ORTHODONTICS BY MASS-SPRING SYSTEM

Mass-spring system has been used to describe elastically deformable models in computer graphics such as skin, textiles, and soft tissue. A mass-spring mesh composed of a network of masses and springs, in which each edge is spring. We apply mass-spring system to soft tissue deformation in 3D orthodontic simulation, the movement of which is evaluated using the numerical integration of the fundamental law of dynamics. In the method, good data structure is presented based on the feature of STL teeth models. Computational quantity and accuracy is demonstrated on test and teeth model examples. The experimental results show that it can simulate the deformation change in real time and display result is vivid. orthodontics which are based on simplifications of elasticity theory. By simulating physical properties such as tension and rigidity, we can model static shapes exhibited by a wide range of deformation objects. Furthermore, by including physical properties such as mass and damping, we can simulate the dynamics of these objects. The simulation involves numerically solving the partial differential equations that govern the evolving shape of the deformable object and its motion through space. It is important to describe behavior of gingival deformation brought by tooth move in the process of the rectification can be simulated by using computer simulation in the virtual orthodontic. The gingival deformation is the change of gingival shape (soft tissue) caused by the change of tooth (rigid body) position under external force in the process of orthodontics. In the orthodontic simulation, gingival tissue deformation should satisfy physical third dimension in real-time, to which the key is construction of an appropriate physically-based model of soft tissue deformation. In our approach, we start in section 2 which describes our implementation of deformable models. The model composed of a network of masses and springs, which can be considered as a variant of elastic models. We give differential equation of motion describing the dynamics behavior of deformable models under the influence of external forces. Section 3 presents simulations illustrating the application of soft tissue deformation.