Tissue mechanics

Kenedi, R. M.; Gibson, T.; Evans, John H.; Barbenel, J.C.

doi:10.1088/0031-9155/20/5/001

Cited by 117 publications

(34 citation statements)

References 81 publications

(11 reference statements)

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“…Anatomical modeling is being undertaken in two primary areas, (1) the development of artificial replacements for tissues where the characterization of natural tissue behavior is needful so as to be able to specify realistically the artificial replacement or synthetic stimulant; and (2) tissue modeling related to the diagnostic area through using artificial materials, mathematical approach, and continuum formulations [48,49]. As human body is not an engineering or mathematically definable object, therefore, anatomical modeling is usually generated through non-invasive imaging technique, such as CT or MRI technology.…”

Section: Computer-aided Anatomic Modeling and 3-d Reconstructionmentioning

confidence: 99%

Recent development on computer aided tissue engineering — a review

Sun¹,

Lal²

2002

Computer Methods and Programs in Biomedicine

331

164

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The utilization of computer-aided technologies in tissue engineering has evolved in the development of a new field of computer-aided tissue engineering (CATE). This article reviews recent development and application of enabling computer technology, imaging technology, computer-aided design and computer-aided manufacturing (CAD and CAM), and rapid prototyping (RP) technology in tissue engineering, particularly, in computer-aided tissue anatomical modeling, three-dimensional (3-D) anatomy visualization and 3-D reconstruction, CAD-based anatomical modeling, computer-aided tissue classification, computer-aided tissue implantation and prototype modeling assisted surgical planning and reconstruction.

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Section: Computer-aided Anatomic Modeling and 3-d Reconstructionmentioning

confidence: 99%

Recent development on computer aided tissue engineering — a review

Sun¹,

Lal²

2002

Computer Methods and Programs in Biomedicine

331

164

View full text Add to dashboard Cite

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“…However, here the heat conduction model is constructed on the 3D object surface model. For anisotropic materials, since the conductivity at each node is different, the heat conduction equation for each internal node may be described by the following: (12) where i k is the conductivity at point i P r .…”

Section: B Heat Conduction Model Designmentioning

confidence: 99%

“…However, the behaviours of soft objects such as human tissues are extremely nonlinear [11,12]. The common deformation methods, such as mass-spring, FEM and BEM, are mainly built on linear elastic models because of the simplicity of linear elastic models and also because linear elastic models permit to reduce runtime computation.…”

Section: Introductionmentioning

confidence: 99%

A New Methodology for Deformable Object Simulation

Zhong

Shirinzadeh²,

Alici

et al.

Proceedings of the 2005 IEEE International Conference on Robotics and Automation

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-This paper presents a new methodology for the deformation of soft objects by drawing an analogy between heat conduction and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by the principle of heat conduction. An improved heat conduction model is developed for propagating the energy generated by the external force in a natural manner. A method is presented to derive the internal forces from the potential energy distribution. This methodology not only deals with large-range deformation, but also accommodates both isotropic and anisotropic materials by simply changing thermal conductivity constants. Examples are presented to demonstrate the efficiency of the proposed methodology.Index Terms -deformation, soft objects, surgery simulation and analogous systems.

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“…In general, most of the existing methods for deformable object modelling are fully built on a linear elastic model to describe the deformation, while the behaviours of deformable objects such as human tissues and organs are extremely nonlinear [12,13]. The common deformation methods, such as mass-spring, FEM and BEM, are mainly based on linear elastic models because of the simplicity of linear elastic models, and also because linear elastic models allow reduced runtime computations.…”

Section: Introductionmentioning

confidence: 99%

Cellular neural network based deformation simulation with haptic force feedback

Zhong

Shirinzadeh

Alici³

et al.

9th IEEE International Workshop on Advanced Motion Control, 2006.

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Abstract-This paper presents a new methodology for deformable object modelling by drawing an analogy between cellular neural network (CNN) and elastic deformation. The potential energy stored in an elastic body as a result of a deformation caused by an external force is propagated among mass points by the non-linear CNN activity. An improved CNN model is developed for propagating the energy generated by the external force on the object surface in the natural manner of Poisson equation. The proposed methodology models non-linear materials with nonlinear CNN rather than geometric non-linearity in the most existing deformation methods. It can not only deal with large-range deformations, but it can also accommodate isotropic, anisotropic and inhomogeneous materials by simply modifying constitutive constants.

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Tissue mechanics

Cited by 117 publications

References 81 publications

Recent development on computer aided tissue engineering — a review

Recent development on computer aided tissue engineering — a review

A New Methodology for Deformable Object Simulation

Cellular neural network based deformation simulation with haptic force feedback

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