Efficient techniques for soft tissue modeling and simulation by Alpaslan Duysak

Cover of: Efficient techniques for soft tissue modeling and simulation | Alpaslan Duysak

Published by Bournemouth University in Poole .

Written in English

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Edition Notes

Ph.D.- Bournemouth University, Poole, 2004.

Book details

StatementAlpaslan Duysak.
ContributionsBournemouth University.
The Physical Object
Paginationxv,194 leaves :
Number of Pages194
ID Numbers
Open LibraryOL16231410M

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Soft Tissue Modeling Techniques in Surgery Simulation time are the two significant constraints in soft tissue modeling for surgery simulation.

the most efficient tools for solving various. Efficient techniques for soft tissue modeling and. Modeling and Simulation of Soft Tissue Deformation Yuping Duan 1, Weimin Huang, Huibin Chang2, Wenyu Chen 1, Kyaw Kyar Toe, Jiayin Zhou 1, Tao Yang, Jiang Liu, Soo Kng Teo 3, Chi Wan Lim, Yi Su3, Chee Kong Chui4, and Stephen Chang5 1 Institute for Infocomm Research, A*STAR, 1 Fusionopolis Way, Singapore, 2 Department of Mathematical Sciences, Tianjin Normal.

Efficient techniques for soft tissue modeling and simulation We have used mass spring systems and the developed method in the simulation of craniofacial surgery. For this purpose, a patient-specific head model was generated from MRI medical data by applying medical image processing tools such as, filtering, the segmentation and polygonal Cited by: 2.

A second soft tissue model allows to perform cutting and tearing but with less efficiency as the previous model. A combination of the two previous models, called “hybrid model” is also. Abstract. A stable and accurate deformable model to simulate the deformation of soft tissues is a challenging area of research.

This paper describes a soft tissue simulation method that can deform multiple organs synchronously and interact with virtual surgical instruments accurately. A second soft tissue model allows to perform cutting and tearing but with less efficiency as the previous model.

A combination of the two previous models, called “hybrid model” is also presented in the chapter. It also introduces an extension of the second soft tissue model that implements large displacement elasticity.

To achieve high computational efficiency and realistic visual effects, a new simulation algorithm for soft tissue deformation, which is based on a shape-matching scheme using splat primitives, is. The finalized prospective section reflects on the future demands in the area of soft tissue cutting modeling and simulation mostly from a conceptual angle with emphasis on VR development requirements including real-time VR simulator response, cost-effective “close-to-reality” VR implementations, and other demands.

modeling is model validity. Model validation techniques include simulating the model under known input conditions and comparing model output with system output. Generally, a model intended for a simulation study is a mathematical model developed with the help of simulation software.

Mathematical model classifications. These novel interactive simulation techniques allow users to manipulate a three-degree-of-freedom virtual needle as it penetrates virtual tissue models, while experiencing steering torques and forces through a planar haptic interface.

Models and simulations are also used to formulate needle insertion as a trajectory planning and control problem. A hybrid modeling scheme for soft tissue simulation in virtual reality based medical trainers J. Kim^'*, S. De^ M.A. Srinivasan^ " The TouchLab, Department of Mechanical Engineering and Research Laboratory for Electronics, Massachusetts Institute of Technology, Cambridge, MAUSA ^ Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute.

Books and Book Chapters; Kim, J., Ahn, B., De, S. and Srinivasan, M.A. An efficient soft tissue characterization algorithm from in vivo indentation experiments for medical simulations.

International Journal of Medical Robotics and Computer Assisted Surgery, 4,Center for Modeling, Simulation and Imaging in Medicine. SIMULIA's Abaqus Unified FEA product suite contains specific features to help model tissue including a wide variety of nonlinear, elastic-hyperelastic models.

It has been used to model feet, trabecular bone and artery wall tissue. Contact capabilities allow easy simulation of joint assembly and motion. And the simulation experiments show that the proposed approach offers high computational efficiency and good visual effect, enabling cutting of soft tissue with high stability.

View Show abstract. When modeling tissues, this book will help users determine modeling parameters and the variability for particular populations. Chapters highlight important experimental techniques needed to inform, motivate, and validate the choice of strain energy function or the constitutive model.

This review paper classifies the existing research on tool-tissue interactions for surgical simulators specifically based on the modeling techniques employed and the kind of surgical operation being simulated, in order to inform and motivate future research on improved tool-tissue interaction models.

Efficient and accurate techniques for simulation of soft tissue deformation are an increasingly valuable tool in many areas of medical image computing, such as biomechanically-driven image registration and interactive surgical simulation. Surgery Simulation and Soft Tissue Modeling: International Symposium, IS4TM Juan-Les-Pins, France, June, Proceedings (Lecture Notes in Computer Science ()): Medicine & Health Science Books @ Furthermore, a VR model of a uterus and its adnexe has been generated and simulation results are presented.

Keywords: laparoscopy, virtual reality, finite element simulation, soft tissue modeling. DOI: /THC Journal: Technology and Health Care, vol. 8, no. 1, pp.Efficient and accurate techniques for simulation of soft tissue deformation are an increasingly valuable tool in many areas of medical image computing.

Author: Duysak A. Search worldwide, life-sciences literature Search. Advanced Search. E.g. "breast cancer" HER2 Smith J. We propose a computationally efficient and bio-mechanically relevant soft-tissue simulation method for cranio-maxillofacial (CMF) surgery. A template-based facial muscle reconstruction was introduced to minimize the efforts on preparing a patient-specific model.

Sciences. Number of books and research papers has appeared in the literature and a need is felt to have a systematic one to the study of the subject. The basic techniques of Modeling and Simulation are now being taught in undergraduate engineering courses, and its applications in various engineering subjects require detailed studies.

Intersected elements are progressively cut to minimize the lag between the user’s motion and model modification. A linear finite element model is used to model deformation of the soft tissue.

These cutting techniques coupled with a physically based deformation model increases the accuracy and applicability of a surgical simulation system. This book constitutes the refereed proceedings of the International Symposium on Surgery Simulation and Soft Tissue Modeling, IS4TMheld in Juan-Les-Pins, France in June The 33 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 45.

This paper gives a survey of techniques for tissue interaction and discusses their application in the context of the intra-ocular training system EyeSi. As key interaction techniques collision detection and soft tissue modeling are identified.

For collision detection in EyeSi, an enhanced image-based approach for collisions between deformable surfaces and rigid objects is presented. For the structure mechanics of human body, it is almost impossible to conduct mechanical experiments.

Then the finite element model to simulate mechanical experiments has become an effective tool. By introducing several common methods for constructing a 3D model of cranial cavity, this paper carries out systematically the research on the influence law of cranial cavity deformation.

– Modeling and simulation could take 80% of control analysis effort. • Model is a mathematical representations of a system – Models allow simulating and analyzing the system – Models are never exact • Modeling depends on your goal – A single system may have many models – Large ‘libraries’ of standard model templates exist.

This paper summarizes the literature and presents a taxonomy (Table 1) of significant work in the field of realistic modeling of tool-tissue interactions for simulation and robot-assisted continuum mechanics provides a mathematical framework to model the deformation of biological tissues, the primary focus of this review is to compile the research done in the area of modeling.

The novel trainer can simulate rigid body, soft tissue and blood with state-of-the-art techniques, so that convincing deformation and realistic bleeding can be achieved.

We present techniques of measuring and modeling the mechanical response of human cadaveric tissue for the purpose of developing a realistic model. The major contribution of this paper is the development of physics-based models of soft tissues that range from linear elastic models to nonlinear viscoelastic models which are efficient for.

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We are hopeful that concurrent simulation approaches can be coupled with advances in subject-specific modeling, constitutive models, high performance computing and computational algorithms to accurately simulate soft tissue behavior and to predict changes in function that.

The book presents a state-of-the-art overview of biomechanical and mechanobiological modeling and simulation of soft biological tissues. Seven well-known scientists working in that particular field discuss topics such as biomolecules, networks and cells as well as failure, multi-scale, agent-based, bio-chemo-mechanical and finite element models appropriate for computational analysis.

Vairo, G. () Modeling and simulation in tissue biomechanics: Modern tools to face an ancient challenge. Journal of Biomedical Science and Engineering, 6, doi: /jbiseA   In a real time finite element model for the simulation of linear viscoelastic tissue behavior was proposed, and a method for measuring and integrating experimental data for the viscoelastic material properties of soft tissues into the model for realistic display of visual deformations and interaction forces was presented.

A precomputation step. Numerous biomechanical imaging techniques have been proposed for tissue examination and detection of pathologies. In this study, a finite element model is developed to investigate contrast-transfer efficiency of harmonic motion imaging for viscoelastic soft tissues.

Abstract. Computer-based modeling and simulation practices have become an integral part of the medical education field.

For surgical simulation applications, realistic constitutive modeling of soft tissue is considered to be one of the most challenging aspects of the problem, because biomechanical soft-tissue models need to reflect the correct elastic response, have to be efficient in order to. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract A mathematical model describing the thermomechanical interactions in biological bodies at high temperature is proposed by treating the soft tissue in biological bodies as a thermoporoelastic media.

The heat transfer and elastic deformation in soft tissues are examined based on the Pennes bioheat transfer. The simulated C p and C e curves along with model tissue structure, in Fig.

5, were used as an input to compute the dynamic DSC-MRI signal. Fig. 6 shows the GE post-contrast to pre-contrast DSC-MRI signal ratio time curves (S/S 0), both in the presence (K Trans = min −1) and absence (K Trans = 0 min −1) of contrast agent extravasation.Our aim is to develop experimental and computational techniques to gain fundamental understanding of thermomechanics of soft tissue by identifying the nonlinear, anisotropic, and layer specific thermomechanical properties, and by quantifying the thermomechanical damage due to intense energy fields, e.g.

laser, radio frequency alternating current, ultrasound, etc.Computer modelling and simulation is extensively used in the development of new diagnostic imaging and radiotherapy modalities. The use of such tools is becoming of critical importance in designing, testing, and predicting the performance of forthcoming x-ray imaging systems, prior to their manufacture and before being accepted for clinical use.

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