INTEGRATING BIOMECHANICAL PARAMETERS IN MODELING OF LIVER WITH AND WITHOUT TUMOR IN VIRTUAL ENVIRONMENT

Authors

  • Salina Sulaiman Real Time Graphics and Visualization Research Group (GRAVS), Mathematics with Computer Graphics, School of Science and Technology, Universiti Malaysia Sabah Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • Liew Kar Thye Real Time Graphics and Visualization Research Group (GRAVS), Mathematics with Computer Graphics, School of Science and Technology, Universiti Malaysia Sabah Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • Abdullah Bade Real Time Graphics and Visualization Research Group (GRAVS), Mathematics with Computer Graphics, School of Science and Technology, Universiti Malaysia Sabah Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • Rechard Lee Real Time Graphics and Visualization Research Group (GRAVS), Mathematics with Computer Graphics, School of Science and Technology, Universiti Malaysia Sabah Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia
  • Siti Hasnah Tanalol Real Time Graphics and Visualization Research Group (GRAVS), Mathematics with Computer Graphics, School of Science and Technology, Universiti Malaysia Sabah Jalan UMS, 88400 Kota Kinabalu, Sabah, Malaysia

DOI:

https://doi.org/10.11113/jt.v75.5068

Keywords:

Mass-spring model, biomechanical parameters, liver tumor, real-time simulation, surgical simulation

Abstract

One of the fundamental components of a surgical simulator is a deformable object. Two main approaches used in surgical simulation to model deformable objects are Finite Element Model (FEM) and Mass Spring Model (MSM). MSM is often preferred due to its simplicity and low computational cost. However, setting of appropriate model parameters such as mass, spring stiffness and damping coefficients in order to reproduce mechanical responses remains an issue. In this paper, biomechanical parameters (Poisson’s values, density) are integrated into MSM based on a tetrahedral structured network in modeling of liver with and without tumor. For the identification of parameters in a real time surgical simulation, Barycentric mass lumping, Lloyd’s approach, Rayleigh formula and Fourth order Runge-Kutta integration method are used to determine the node mass, spring stiffness, damping coefficient and suitable time step respectively. The resulted node mass, spring stiffness and damping coefficient for liver without tumor and with tumor are 1.9825kg, 5.4225 kPa, 7.4525 N/m2 and 5.9256kg, 7.0484 kPa, 11.9012 N/m2 respectively. These values are substituted into MSM, which is then visualized in CHAI 3D ensuring the performance required by a real time simulation. Finally, comparison between the liver with and without tumor in terms of mass, spring stiffness, and damping constant is highlighted.

References

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Published

2015-07-29

Issue

Section

Science and Engineering

How to Cite

INTEGRATING BIOMECHANICAL PARAMETERS IN MODELING OF LIVER WITH AND WITHOUT TUMOR IN VIRTUAL ENVIRONMENT. (2015). Jurnal Teknologi (Sciences & Engineering), 75(4). https://doi.org/10.11113/jt.v75.5068