A physical model identification method of soft tissue deformation for virtual surgery

This paper studied the virtual surgery of soft tissue modeling. Due to today´s theory modeling and computer simulation results cannot reflect the mechanics and deformation properties of soft tissues accurately, this paper proposed least squares support vector machines (LSSVM) method to establish model between force and deformation by obtaining experimental results. Compared with the experimental results, the identification results of the identified model of LSSVM obtains well performance in terms of projection curve and standard deviation (MSE =0.4847). The results show that the LSSVM method is useful and valid.