Real-time deformable models of non-linear tissues by model reduction techniques
Computer Methods and Programs in Biomedicine
Real-time deformable models for surgery simulation: a survey
Computer Methods and Programs in Biomedicine
MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II
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Real-time soft-tissue simulation has gained great interest recently as a result of advancements in areas such as surgery planning and surgical simulations. Linear deformation models may not provide the required accuracy in such areas whilst non-linear models do not serve the real-time needs. Therefore, there is a common need for a computationally simplified yet accurate, non-linear, large deformable viscoelastic model of soft tissues to be used in these real-time applications. To date, standard non-linear finite-element methods are incapable of providing the real-time performance needs. Addressing this we propose a new hybrid technique that acts on the reduced order static model acquired through the model reduction technique known as Karhunenâ聙聰Lo脙©ve (KL). The dynamic behavior is then obtained by overlaying pre-calculated displacement responses of surface nodes accounting for the time-dependent viscoelastic properties. The results of deformation simulation of viscoelastic soft tissue are compared with the linear approach.