Soft tissue deformation with neural dynamics for surgery simulation
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Soft tissue deformation is of great importance to virtual-reality-based-surgery simulation. This paper presents a new neural-dynamics-based methodology for simulation of soft tissue deformation from the perspective of energy propagation. A novel neural network is established to propagate the energy generated by an external force among mass points of a soft tissue. The stability of the proposed neural network system is proved by using the Lyapunov stability theory. A potential-based method is presented to derive the internal forces from the natural energy distribution established by the neural dynamics. Integration with a haptic device has been achieved for interactive deformation simulation with force feedback. The proposed methodology not only accommodates isotropic, anisotropic and inhomogeneous materials by simple modification of the control coefficients, but it also accepts large-range deformations.
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Zhong, Yongmin; Gu, C.; Shirinzadeh, B.; Smith, J. (2010)This paper presents a new methodology for soft tissue deformation by using neural dynamics. This methodology combines neural propagation of mechanical load and non-rigid mechanics of motion to govern the dynamics of soft ...
Zhong, Yongmin; Shirinzadeh, B.; Smith, J.; Gu, C. (2010)Soft tissue deformation is of great importance to virtual reality-based surgery simulation. This paper presents a new methodology for the modeling of soft tissue deformation. This methodology converts soft tissue deformation ...
Zhong, Yongmin; Shirinzadeh, B.; Smith, J. (2006)This paper presents a new methodology for the deformation of soft objects by drawing an analogy between cellular neural network and elastic deformation. An improved cellular neural network model is developed to simulate ...