Soft tissue deformation with neural dynamics for surgery simulation

Soft tissue deformation is of great importance to virtual-reality-based-surgery simulation. This paper presents a new neural-dynamics-based methodology for simulation of soft tissue deformation from the perspective of energy propagation. A novel neural network is established to propagate the energy...

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Bibliographic Details
Main Authors: Zhong, Yongmin, Shirinzadeh, B., Smith, J.
Format: Journal Article
Published: ACTA Press 2007
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/47516
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author Zhong, Yongmin
Shirinzadeh, B.
Smith, J.
author_facet Zhong, Yongmin
Shirinzadeh, B.
Smith, J.
author_sort Zhong, Yongmin
building Curtin Institutional Repository
collection Online Access
description Soft tissue deformation is of great importance to virtual-reality-based-surgery simulation. This paper presents a new neural-dynamics-based methodology for simulation of soft tissue deformation from the perspective of energy propagation. A novel neural network is established to propagate the energy generated by an external force among mass points of a soft tissue. The stability of the proposed neural network system is proved by using the Lyapunov stability theory. A potential-based method is presented to derive the internal forces from the natural energy distribution established by the neural dynamics. Integration with a haptic device has been achieved for interactive deformation simulation with force feedback. The proposed methodology not only accommodates isotropic, anisotropic and inhomogeneous materials by simple modification of the control coefficients, but it also accepts large-range deformations.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:34:42Z
publishDate 2007
publisher ACTA Press
recordtype eprints
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spelling curtin-20.500.11937-475162017-09-13T14:13:03Z Soft tissue deformation with neural dynamics for surgery simulation Zhong, Yongmin Shirinzadeh, B. Smith, J. Surgery simulation soft tissue deformation neural dynamics neural - networks and haptic feedback Soft tissue deformation is of great importance to virtual-reality-based-surgery simulation. This paper presents a new neural-dynamics-based methodology for simulation of soft tissue deformation from the perspective of energy propagation. A novel neural network is established to propagate the energy generated by an external force among mass points of a soft tissue. The stability of the proposed neural network system is proved by using the Lyapunov stability theory. A potential-based method is presented to derive the internal forces from the natural energy distribution established by the neural dynamics. Integration with a haptic device has been achieved for interactive deformation simulation with force feedback. The proposed methodology not only accommodates isotropic, anisotropic and inhomogeneous materials by simple modification of the control coefficients, but it also accepts large-range deformations. 2007 Journal Article http://hdl.handle.net/20.500.11937/47516 10.2316/Journal.206.2007.1.206-1000 ACTA Press restricted
spellingShingle Surgery simulation
soft tissue deformation
neural dynamics
neural - networks and haptic feedback
Zhong, Yongmin
Shirinzadeh, B.
Smith, J.
Soft tissue deformation with neural dynamics for surgery simulation
title Soft tissue deformation with neural dynamics for surgery simulation
title_full Soft tissue deformation with neural dynamics for surgery simulation
title_fullStr Soft tissue deformation with neural dynamics for surgery simulation
title_full_unstemmed Soft tissue deformation with neural dynamics for surgery simulation
title_short Soft tissue deformation with neural dynamics for surgery simulation
title_sort soft tissue deformation with neural dynamics for surgery simulation
topic Surgery simulation
soft tissue deformation
neural dynamics
neural - networks and haptic feedback
url http://hdl.handle.net/20.500.11937/47516