Quasi-non-linear deformation modeling of a human liver based on artificial and experimental data

Firat Dogan*, M. Serdar Celebi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Background: Researchers working on error-prevention theories have shown that the use of replica models within simulation systems has improved operating skills, resulting in better patient outcomes. Methods: This study aims to provide material test data specifically for a human liver to validate the accuracy of viscoelastic soft tissue models. This allows the validation of virtual surgery simulators by comparison with physical test data obtained from material tests on a viscoelastic silicone gel pad. Results: The results proved that stress behavior and relaxation curves of Aquaflex® experiment and FEM simulation are close if average liver response and respective material parameters and model are used. Conclusions: The precise representation of manipulated tissues used in virtual surgery trainers involves the accurate characterization of mechanical properties of the tissue. Consequently, successful implementations of these mechanical properties in a mathematical model of the deforming organ are of major importance.

Original languageEnglish
Pages (from-to)410-420
Number of pages11
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume12
Issue number3
DOIs
Publication statusPublished - 1 Sept 2016

Bibliographical note

Publisher Copyright:
Copyright © 2015 John Wiley & Sons, Ltd.

Funding

FundersFunder number
Horizon 2020 Framework Programme675441

    Keywords

    • deformable models
    • indentation experiment
    • material coefficients
    • nonlinear simulations
    • real-time simulation
    • soft tissue
    • viscoelasticity

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