Elastodynamic shape modeling in virtual medicine

Radetzky, Arne; Nürnberger, Andreas; Teistler, Michael; Pretschner, D. P.

doi:10.1109/sma.1999.749337

Cited by 14 publications

(12 citation statements)

References 18 publications

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“…The learning process can be initialised by use of prior knowledge based on &real' physical parameters or parameters de"ned by the tool Elastodynamic Shape Modeler [31]. Since the existing propagation algorithms for these types of networks can be used in real-time applications, the resulting network is able to simulate objects in virtual environments.…”

Section: Discussionmentioning

confidence: 99%

“…Graphic representations of static geometry build with commonly used modelling tools (e.g. VRML-Editors) can be directly used for the creation of the outer shape of viscoelastic models [31]. Another reason to choose viscoelastic models is that the mesh structure can be easily transferred into a network structure.…”

Section: A Neuro-fuzzy Methods To De5ne and Simulate Viscoelastic Modelsmentioning

confidence: 99%

“…Although the simulation of deformable tissues can be used in a wide "eld of surgical training (e.g. [4,8,9,38]), the main "eld of application is the minimally invasive surgery because realistic interface devices for the simulation of endoscopic instruments already exists [31], minimally invasive interventions require much more training as conventional surgery, and the increasing number of minimally invasive interventions.…”

Section: Application Example: Virtual Surgerymentioning

confidence: 99%

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Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems

Nürnberger

Radetzky²,

Kruse

2001

Neurocomputing

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The identi"cation and simulation of dynamic systems is still a challenging problem. In this article some basic aspects of neuro-fuzzy techniques for the identi"cation and simulation of time-dependent physical systems are presented. In particular, a neuro-fuzzy model that can be used for the identi"cation and the (real-time) simulation of viscoelastic models, is described. The presented model is motivated by a cooperative neuro-fuzzy approach based on a vectorized recurrent neural network architecture. The physical motivation of this model is illustrated and speci"c propagation procedures and a learning algorithm are presented. Moreover, the usability in practice is demonstrated by an application of the model in the area of surgical simulation.

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Section: Discussionmentioning

confidence: 99%

Section: A Neuro-fuzzy Methods To De5ne and Simulate Viscoelastic Modelsmentioning

confidence: 99%

Section: Application Example: Virtual Surgerymentioning

confidence: 99%

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Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems

Nürnberger

Radetzky²,

Kruse

2001

Neurocomputing

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“…This process is called total deformation (32) and is especially useful if the objects are not fixed or connected with other objects. For example, the fallopian tube shown in Figure 1 is simulated with total deformation.…”

Section: Simulation Of Deformations By Using Spring-mass Modelsmentioning

confidence: 99%

Elastodynamic Shape Modeler: A Tool for Defining the Deformation Behavior of Virtual Tissues

Radetzky¹,

Nürnberger²,

Pretschner³

2000

RadioGraphics

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A main goal of surgical simulators is the creation of virtual training environments for prospective surgeons. Thus, students can rehearse the various steps of surgical procedures on a computer system without any risk to the patient. One main condition for realistic training is the simulated interaction with virtual medical devices, such as endoscopic instruments. In particular, the virtual deformation and transection of tissues are important. For this application, a neuro-fuzzy model has been developed, which allows the description of the visual and haptic deformation behavior of the simulated tissue by means of expert knowledge in the form of medical terms. Pathologic conditions affecting the visual and haptic tissue response can be easily changed by a medical specialist without mathematical knowledge. By using the personal computerbased program Elastodynamic Shape Modeler, these conditions can be adjusted via a graphical user interface. With a force feedback device, which is similar to a real laparoscopic instrument, virtual deformations can be performed and the resulting haptic feedback can be felt. Thus, use of neuro-fuzzy technologies for the definition and calculation of virtual deformations seems applicable to the simulation of surgical interventions in virtual environments.

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“…Medical simulations often require realistic modeling of soft tissues [10,28] for scientific analysis, surgery planning, [3] and surgery procedure training [8]. Soft-tissue deformation accuracy and computation time are the main criteria used in modeling and determine the ability to provide for the real-time soft tissue deformation computation [24].…”

Section: Bioinformatics and Medicinementioning

confidence: 99%

An Approach to Distributed Interactive Simulation and Visualization of Complex Systems using Cluster Computing

Gračanin

2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)

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Elastodynamic shape modeling in virtual medicine

Abstract: Abstract

Cited by 14 publications

References 18 publications

Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems

Using recurrent neuro-fuzzy techniques for the identification and simulation of dynamic systems

Elastodynamic Shape Modeler: A Tool for Defining the Deformation Behavior of Virtual Tissues

An Approach to Distributed Interactive Simulation and Visualization of Complex Systems using Cluster Computing

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