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Soft tissue modelling through autowaves for surgery simulation.

Identifieur interne : 005B33 ( Main/Exploration ); précédent : 005B32; suivant : 005B34

Soft tissue modelling through autowaves for surgery simulation.

Auteurs : Yongmin Zhong [Australie] ; Bijan Shirinzadeh ; Gursel Alici ; Julian Smith

Source :

RBID : pubmed:16960747

English descriptors

Abstract

Modelling of soft tissue deformation is of great importance to virtual reality based surgery simulation. This paper presents a new methodology for simulation of soft tissue deformation by drawing an analogy between autowaves and soft tissue deformation. The potential energy stored in a soft tissue as a result of a deformation caused by an external force is propagated among mass points of the soft tissue by non-linear autowaves. The novelty of the methodology is that (i) autowave techniques are established to describe the potential energy distribution of a deformation for extrapolating internal forces, and (ii) non-linear materials are modelled with non-linear autowaves other than geometric non-linearity. Integration with a haptic device has been achieved to simulate soft tissue deformation with force feedback. The proposed methodology not only deals with large-range deformations, but also accommodates isotropic, anisotropic and inhomogeneous materials by simply changing diffusion coefficients.

DOI: 10.1007/s11517-006-0084-7
PubMed: 16960747


Affiliations:


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