Parameter measurement of 3D soft tissue model in warping simulation

Parameter measurement of 3D soft tissue model is of great theoretical significance and application value in virtual surgery training simulation system. To solve the problems of existing soft tissue parameter measurement methods with high complexity, we propose a fast and effective parameter measurement method. We adopt a pillow as test material and exert pressure on it to simulate the parameter measurement of 3D soft tissue model in warping simulation. During the experiment, we construct a motion capture system with 3 cameras to obtain the warping set of the soft tissue model and carry out the 3D reconstruction of it by utilizing reverse engineering method. We obtain the pressure by using a miniature pressure sensor and calibrate the pressure sensor with BP (Back Propagation) neural network and then we calculate the 3D soft tissue parameter by using the pressure data and the 3D reconstruction result. The experimental results show that the parameter measurement method we proposed can obtain the parameter of 3D soft tissue model fast and effectively.