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

Firat Dogan*, M. Serdar Celebi

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

7 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)410-420
Sayfa sayısı11
DergiInternational Journal of Medical Robotics and Computer Assisted Surgery
Hacim12
Basın numarası3
DOI'lar
Yayın durumuYayınlandı - 1 Eyl 2016

Bibliyografik not

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

Finansman

FinansörlerFinansör numarası
Horizon 2020 Framework Programme675441

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