Abstract: A method of soft tissue parameter measurement was proposed based on pressure acquisition and FEM model， which included a soft tissue parameter measurement platform based on optical motion tracking system and pressure acquisition module. The soft tissue deformation was reconstructed in three dimensions， and the pressures on the soft tissue were obtained by an ARM acquisition board with a pressure sensor whose precision was calibrated with the BP neural network. Then a tetrahedral finite element model was built to calculate the initial parameters (Young’s modulus and Poisson rates) of the soft tissue and a parameter reference model was proposed to obtain the modified parameters whose accuracy was verified experimentally. The experimental results indicated the average relative deviation between calculated deformation and measured deformation is 1.03%~1.60%， which satisfies the accuracy requirements of soft tissue deformation in practical engineering applications.

Key words: soft tissue parameter measurement, pressure acquisition, parameter reference model, finite element, BP neural network