An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation

• Xiaorui Zhang,
• Hailun Wu,
• Wei Sun,
• Chengsheng Yuan,

Vol. 14, No. 4, April 30, 2020
10.3837/tiis.2020.04.018, Download Paper (Free):

• virtual surgery
• soft tissue deformation
• Mass-spring model
• position-based dynamics
• Particle swarm optimization algorithm

Abstract

To improve the accuracy and realism of the virtual surgical simulation system, this paper proposes an optimized mass-spring model with shape restoration ability based on volume conservation to simulate soft tissue deformation. The proposed method constructs a soft tissue surface model that adopts a new flexion spring for resisting bending and incorporates it into the mass-spring model (MSM) to restore the original shape. Then, we employ the particle swarm optimization algorithm to achieve the optimal solution of the model parameters. Besides, the volume conservation constraint is applied to the position-based dynamics (PBD) approach to maintain the volume of the deformable object for constructing the soft tissue volumetric model base on tetrahedrons. Finally, we built a simulation system on the PHANTOM OMNI force tactile interaction device to realize the deformation simulation of the virtual liver. Experimental results show that the proposed model has a good shape restoration ability and incompressibility, which can enhance the deformation accuracy and interactive realism.

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