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Development and validation of a viscoelastic and nonlinear liver model for needle insertion

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Objective

The objective of our work is to develop and validate a viscoelastic and nonlinear physical liver model for organ model-based needle insertion, in which the deformation of an organ is estimated and predicted, and the needle path is determined with organ deformation taken into consideration.

Materials and Methods

First, an overview is given of the development of the physical liver model. The material properties of the liver considering viscoelasticity and nonlinearity are modeled based on the measured data collected from a pig’s liver. The method to develop the liver model using FEM is also shown. Second, the experimental method to validate the model is explained. Both in vitro and in vivo experiments that made use of a pig’s liver were conducted for comparison with the simulation using the model.

Results

Results of the in vitro experiment showed that the model reproduces nonlinear and viscoelastic response of displacement at an internally located point with high accuracy. For a force up to 0.45 N, the maximum error is below 1 mm. Results of the in vivo experiment showed that the model reproduces the nonlinear increase of load upon the needle during insertion.

Discussion

Based on these results, the liver model developed and validated in this work reproduces the physical response of a liver in both in vitro and in vivo situations.

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References

  1. Taylor RH, Stoianovici D (2003) Medical robotics in computer-integrated surgery. IEEE Trans Robot Autom 19(5): 765–781. doi:10.1109/TRA.2003.817058

    Article  Google Scholar 

  2. Daraio P, Hannaford B, Menciassi A (2003) Smart surgical tools and augmenting devices. IEEE Trans Robot Autom 19(5): 782–792. doi:10.1109/TRA.2003.817071

    Article  Google Scholar 

  3. Kobayashi Y, Okamoto J, Fujie MG (2004) Physical properties of the liver for needle insertion control. In: IEEE international conference on intelligent robotics and systems, pp 2960–2966

  4. Kobayashi Y, Okamoto J, Fujie MG (2005) Physical properties of the liver and the development of an intelligent manipulator for needle insertion. In: IEEE international conference on robotics and automation, pp 1644–1651

  5. Kobayashi Y, Onishi A, Hoshi T, Kawamura K, Fujie MG (2007) Viscoelastic and nonlinear organ model for control of needle insertion manipulator. In: IEEE international conference of the EMBS, pp 1893–1899

  6. Kobayashi Y, Onishi A, Hoshi T, Kawamura K, Fujie MG (2007) Deformation simulation using a viscoelastic and nonlinear organ model for control of a needle insertion manipulator. In: IEEE international conference on intelligent robotics and systems, pp 1801–1808

  7. Hoshi T, Kobayashi Y, Kawamura K, Fujie MG (2007) Developing an intraoperative methodology using the finite element method and the extended kalman filter to identify the material parameters of an organ model. In: Proceeding of the 29th international conference of the ieee engineering in medicine and biology society, pp 469–474

  8. Famaey N, Sloten JV Soft tissue modelling for applications in virtual surgery and surgical robotics. Comput Methods Biomech Biomed Eng 11:4, pp. 351–366

  9. The IUPS Physiome Project. http://www.bioeng.auckland.ac.nz/physiome/physiome_project.php

  10. Miller K, Chinzei K, Orssengo G, Bednarz P (2000) Mechanical properties of brain tissue in vivo: experiment and computer simulation. J Biomech 33: 1369–1376

    Article  PubMed  CAS  Google Scholar 

  11. Miller K (2000) Constitutive modelling of abdominal organs. J Biomech 33(3): 367–373

    Article  PubMed  CAS  Google Scholar 

  12. Tillier Y, Paccini A, Durand-Reville M, Bay F, Chenot JL (2003) Three-dimensional finite element modeling for soft tissues surgery. Comput Assist Radiol Surg, pp 349–355

  13. Alterovitz R, Lim A, Goldberg K, Chirikjian GS, Okamura AM (2005) Steering flexible needles under markov motion uncertainty. In: IEEE international conference on intelligent robots and systems, pp 120–125

  14. Alterovitz R, Goldberg K, Okamura A (2005) Planning for steerable bevel-tip needle insertion through 2D Soft tissue with obstacles. In: IEEE international conference on robotics and automation, pp 1652–1657

  15. DiMaio SP, Salcudean SE (2003) Needle insertion modelling and simulation. IEEE Trans Robot Autom 19(5): 864–875. doi:10.1109/TRA.2003.817044

    Article  Google Scholar 

  16. DiMaio SP, Salcudean SE (2005) Interactive simulation of needle insertion model. IEEE Trans Biomed Eng 52(7): 1167–1179. doi:10.1109/TBME.2005.847548

    Article  PubMed  Google Scholar 

  17. Goksel O, Salcudean SE, DiMaio SP, Rohling R, Morris J (2005) 3D needle-tissue interaction simulation for prostate brachytherapy. In: Medical image computing and computer-assisted intervention, pp 827–834

  18. Dehghan E, Salcudean SE (2007) Needle insertion point and orientation optimization in non-linear tissue with application to brachytherapy. In: IEEE international conference on robotics and automation, pp 2267–2272

  19. Sakuma I, Nishimura Y, Chui CK, Kobayashi E, Inada H, Chen X, et al (2003) In vitro measurement of mechanical properties of liver tissue under compression and elongation using a new test piece holding method with surgical glue. In: Proccedings on international symposium IS4TM, pp 284–292

  20. Chui C, Kobayashi E, Chen X, Hisada T, Sakuma I (2006) Combined compression and elongation experiments and nonlinear modelling of liver tissue for surgical simulation. Med Biol Eng Comput 42(6): 787–798. doi:10.1007/BF02345212

    Article  Google Scholar 

  21. Schwartz JM, Denninger M, Rancourt D, Moisan C, Laurendeau D (2005) Modelling liver tissue properties using a nonlinear visco-elastic model for surgery simulation. Med Image Anal 9(2): 103–112

    Article  PubMed  Google Scholar 

  22. Okamura AM, Simone C, O’Leary MD (2004) Force modeling for needle insertion into soft tissue. IEEE Trans Biomed Eng 51(10): 1707–1716. doi:10.1109/TBME.2004.831542

    Article  PubMed  Google Scholar 

  23. Heverly M, Dupont P, Triedman J (2005) Trajectory optimization for dynamic needle insertion. In: IEEE international conference on robotics and automation, pp 1646–1651

  24. Zienkiewicz OC, Cheung YK (1967) The finite element method in structural and continuum mechanics. McGraw-Hill Publ. Co., New York

    Google Scholar 

  25. Ma C, Hori Y (2004) The application of fractional order control to backlash vibration suppression. In: Proceedings of american control conference, pp 2901–2906

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Correspondence to Yo Kobayashi.

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Kobayashi, Y., Onishi, A., Hoshi, T. et al. Development and validation of a viscoelastic and nonlinear liver model for needle insertion. Int J CARS 4, 53–63 (2009). https://doi.org/10.1007/s11548-008-0259-9

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  • DOI: https://doi.org/10.1007/s11548-008-0259-9

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