Quasi-non-linear deformation modeling of a human liver based on artificial and experimental data
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CitationDoğan, F., & Çelebi, M. S. (2016). Quasi-non-linear deformation modeling of a human liver based on artificial and experimental data. International Journal of Medical Robotics and Computer Assisted Surgery, 12(3), pp. 410-420. https://dx.doi.org/10.1002/rcs.1704
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 (R) 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.