A Novel Nonlinear Parameter Estimation Method of Soft Tissues.

ABSTRACT: The elastic parameters of soft tissues are important for medical diagnosis and virtual surgery simulation. In this study, we propose a novel nonlinear parameter estimation method for soft tissues. Firstly, an in-house data acquisition platform was used to obtain external forces and their corresponding deformation values. To provide highly precise data for estimating nonlinear parameters, the measured forces were corrected using the constructed weighted combination forecasting model based on a support vector machine (WCFM_SVM). Secondly, a tetrahedral finite element parameter estimation model was established to describe the physical characteristics of soft tissues, using the substitution parameters of Young's modulus and Poisson's ratio to avoid solving complicated nonlinear problems. To im

SUBMITTER: Tong Q 

PROVIDER: S-EPMC5828669 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature