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Toward high-speed 3D nonlinear soft tissue deformation simulations using Abaqus software

Abstract

We aim to achieve a fast and accurate three-dimensional (3D) simulation of a porcine liver deformation under a surgical tool pressure using the commercial finite element software Abaqus. The liver geometry is obtained using magnetic resonance imaging, and a nonlinear constitutive law is employed to capture large deformations of the tissue. Effects of implicit versus explicit analysis schemes, element type, and mesh density on computation time are studied. We find that Abaqus explicit and implicit solvers are capable of simulating nonlinear soft tissue deformations accurately using first-order tetrahedral elements in a relatively short time by optimizing the element size. This study provides new insights and guidance on accurate and relatively fast nonlinear soft tissue simulations. Such simulations can provide force feedback during robotic surgery and allow visualization of tissue deformations for surgery planning and training of surgical residents.

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References

  1. Kemper AR, Santago AC, Stitzel JD, Sparks JL, Duma SM (2010) Biomechanical response of human liver in tensile loading. Ann Adv Automot Med 54:15–26

    PubMed Central  PubMed  Google Scholar 

  2. Untaroiu CD, Lu Y‐C, Kemper AR (2013) Modeling the biomechanical and injury response of human liver parenchyma under tensile loading. In: IRCOBI conference

  3. Misra S, Okamura MA, Ramesh KT (2007) Force feedback is noticeably different for linear versus nonlinear elastic tissue models. In: 2nd Joint EuroHaptics conference and symposium on haptic interfaces for virtual environments and teleoperator systems, vol 6

  4. Shi Hongjian, Farag Aly A, Fahmi Rachid, Chen Dongqing (2008) Validation of finite element models of liver tissue using micro-CT. IEEE Trans Biomed Eng 55(3):978–984

    Article  PubMed  Google Scholar 

  5. Chanthasopsephan T, Desai JP, Lau ACW (2005) 3D and 2D finite element analysis in soft tissue cutting for haptic display. In: 12th International conference on advanced robotics (IEEE Cat. No. 05TH8813), pp 360–367

  6. Delingette H, Cotin S, Ayache N (1999) A hybrid elastic model allowing real-time cutting, deformations and force-feedback for surgery training and simulation. In: Proceedings computer animation, pp 70–81

  7. Morten B-N, Stephane C (1996) Real-time volumetric deformable models for surgery simulation using finite elements and condensation. Comput Graph Forum 15:57–66

    Article  Google Scholar 

  8. Joldes GR, Wittek A, Miller K (2009) Non-locking tetrahedral finite element for surgical simulation. Commun Numer Methods Eng 25(7):827–836

    PubMed Central  Article  PubMed  Google Scholar 

  9. Lister K, Gao Z, Desai JP (2009) Real-time, haptics-enabled simulator for probing ex vivo liver tissue. In: 31st Annual international conference of the IEEE engineering in medicine and biology society. EMBC, Minneapolis, pp 1196–1199

  10. Ahn B, Kim J (2007) An efficient soft tissue characterization method for haptic rendering of soft tissue deformation in medical simulation. In: Frontiers in the Convergence of Bioscience and Information Technologies (FBIT ‘07), pp 549–553

  11. Picinbono Guillaume, Delingette Herve, Ayache Nicholas (2003) Non-linear anisotropic elasticity for real-time surgery simulation. Graph Models 65(5):305–321

    Article  Google Scholar 

  12. Xunlei Wu, Downes Michael S, Goktekin Tolga, Tendick Frank (2001) Adaptive nonlinear finite elements for deformable body simulation using dynamic progressive meshes. Comput Graph Forum 20(3):349–358

    Article  Google Scholar 

  13. Umale Sagar, Deck Caroline, Bourdet Nicolas, Dhumane Parag, Soler Luc, Marescaux Jacques, Willinger Remy (2013) Experimental mechanical characterization of abdominal organs: liver, kidney & spleen. J Mech Behav Biomed Mater 17:22–33

    Article  PubMed  Google Scholar 

  14. Gao Zhan, Lister Kevin, Desai Jaydev P (2009) Constitutive modeling of liver tissue: experiment and theory. Ann Biomed Eng 38(2):505–516

    PubMed Central  Article  PubMed  Google Scholar 

  15. Fung YC (1981) Mechanical properties of living tissues. Springer-Verlag, New York

    Google Scholar 

  16. Commercial software Abaqus V6.13 theory guide. http://www.3ds.com/products-services/simulia/support/documentation/

Download references

Acknowledgments

The authors would like to acknowledge help of research scientist Ryan Larsen for performing liver MRI scanning at the Beckman Institute at University of Illinois at Urbana-Champaign. We would also like to thank Dr. Richard H. Pearl from OSF Saint Francis Medical Center in Peoria, IL, and Dr. T. “Kesh” Kesavadas from University of Illinois at Urbana-Champaign for helpful discussions.

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Correspondence to Iwona Jasiuk.

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Authors AI and IJ declare that they have no conflict of interest.

Research Involving Human Participants/Animals

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

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Appendix

Appendix

See Table 3 and Figs. 5, 6, 7, 8, 9, 10, 11, and 12.

Table 3 Simulation time and convergence comparison (For mesh density information, please see Tables 1 and 2)
Fig. 5
figure 5

Liver deformation and Mises stress contours at 1.5 mm vertical displacement due to surgical tool (knife) pressure

Fig. 6
figure 6

Liver deformation and Mises stress contours at 2.5 mm vertical displacement due to surgical tool pressure

Fig. 7
figure 7

Liver deformation and Mises stress contours at 3.5 mm vertical displacement due to surgical tool pressure

Fig. 8
figure 8

Liver deformation and Mises stress contours at 5.0 mm vertical displacement due to surgical tool pressure

Fig. 9
figure 9

Liver deformation and Mises stress contours at 6.0 mm vertical displacement due to surgical tool pressure

Fig. 10
figure 10

Liver deformation and Mises stress contours at 7.0 mm vertical displacement due to surgical tool pressure

Fig. 11
figure 11

Liver deformation and Mises stress contours at 9.0 mm vertical displacement due to surgical tool pressure

Fig. 12
figure 12

Liver deformation and Mises stress contours at 10.0 mm vertical displacement due to surgical tool pressure

Liver response under surgical tool (knife) pressure animation video is available as supplementary material.

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Idkaidek, A., Jasiuk, I. Toward high-speed 3D nonlinear soft tissue deformation simulations using Abaqus software. J Robotic Surg 9, 299–310 (2015). https://doi.org/10.1007/s11701-015-0531-2

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  • DOI: https://doi.org/10.1007/s11701-015-0531-2

Keywords

  • Computational surgery
  • Nonlinear constitutive model
  • Numerical simulations
  • Mathematical models
  • Robotics