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Soft tissue modelling through autowaves for surgery simulation.

Identifieur interne : 001760 ( PubMed/Curation ); précédent : 001759; suivant : 001761

Soft tissue modelling through autowaves for surgery simulation.

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

Source :

Medical & biological engineering & computing [ 0140-0118 ] ; 2006.

RBID : pubmed:16960747

English descriptors

KwdEn :
- Biomimetics (methods), Computer Simulation, Connective Tissue (physiology), Education, Medical, Graduate (methods), Elasticity, General Surgery (education), Humans, Models, Biological, Stress, Mechanical, Teaching Materials, User-Computer Interface.
MESH :
- education : General Surgery.
- methods : Biomimetics, Education, Medical, Graduate.
- physiology : Connective Tissue.
- Computer Simulation, Elasticity, Humans, Models, Biological, Stress, Mechanical, Teaching Materials, User-Computer Interface.

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

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Le document en format XML

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<author><name sortKey="Zhong, Yongmin" sort="Zhong, Yongmin" uniqKey="Zhong Y" first="Yongmin" last="Zhong">Yongmin Zhong</name>
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<front><div type="abstract" xml:lang="en">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.</div>
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Soft tissue modelling through autowaves for surgery simulation.

Soft tissue modelling through autowaves for surgery simulation.

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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