Sage Journals: Discover world-class research

Abstract

Real-time soft-tissue simulation has gained great interest recently as a result of advancements in areas such as surgery planning and surgical simulations. Linear deformation models may not provide the required accuracy in such areas whilst non-linear models do not serve the real-time needs. Therefore, there is a common need for a computationally simplified yet accurate, non-linear, large deformable viscoelastic model of soft tissues to be used in these real-time applications. To date, standard non-linear finite-element methods are incapable of providing the real-time performance needs. Addressing this we propose a new hybrid technique that acts on the reduced order static model acquired through the model reduction technique known as Karhunen—Loéve (KL). The dynamic behavior is then obtained by overlaying pre-calculated displacement responses of surface nodes accounting for the time-dependent viscoelastic properties. The results of deformation simulation of viscoelastic soft tissue are compared with the linear approach.

Keywords

real-time simulation deformable models model order reduction non-linear simulations soft tissue viscoelasticity

Get full access to this article

View all access options for this article.

References

Kohn LT , Corrigan JM , and Donaldson MS To Err is Human: Building a Safer health System. Washington, DC: National Academy Press, 2000 .

Dogan F. , Atilgan AY Physically based virtual surgery planning and simulation tools for personal health care systems. In: Ulieru MP (ed.) Proceedings of the IT Revolutions. Vol. 11, Venice, Italy. Berlin: Springer, 2008.

Nealen A. , Muller M. , Keiser R. , Boxerman E. , and Carlson M. Physically based deformable models in computer graphics. Computer Graphics Forum 2006; 25(4): 809-836.

Meier U. , Lopez O. , Monserrat C. , Juan MC , and Alcaniz M. Real-time deformable models for surgery simulation: a survey. Computer Methods and Programs in Biomedicine 2005 ; 77(3): 183-197.

Bro-Nielsen M. , Cotin S. Real-time volumetric deformable models for surgery simulation using finite elements and condensation. In: Proceedings of the Computer Graphics Forum, 1996 .

Zhong H. , Wachowiak MP , and Peters TM A real time finite element based tissue simulation method incorporating nonlinear elastic behavior. Computer Methods in Biomechanics and Biomedical Engineering 2005; 8(3): 177-189, available at http://www.informaworld.com/10.1080/10255840500295852.

Vuskovic V. , Kauer M. , Szekely G. , and Reidy M. Realistic force feedback for virtual reality based diagnostic surgery simulators . In: Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000.

Kim J. , Srinivasan MA Characterization of viscoelastic soft tissue properties from in vivo animal experiments and inverse FE parameter estimation. Proceedings of the MICCAI, Palm Spring, USA, 599-606, 2005.

Niroomandi S. , Alfaro I. , Cueto E. , and Chinesta F. Real-time deformable models of non-linear tissues by model reduction techniques. Computer Methods and Programs in Biomedicine 2008; 91(3): 223-231.

10.

Dogan F. , Celebi SM Estimation of quasi-linear viscoelastic material parameters using nonlinear optimization method. In: Proceedings of the 14th National Biomedical Conference, Vol. 1, Izmir, Turkey. Piscataway, NJ : IEEE Press, 2009.

11.

Delingette H. Toward realistic soft-tissue modeling in medical simulation. Proceedings of the IEEE: Special Issue on Surgery Simulation, 1998; 86(3): 512-523.

12.

Fung YC Biomechanics: Mechanical Properties of Living Tissues. New York: Springer, 1993.

13.

Simo JC , Hughes TJR. Computational Inelasticity. Berlin: Springer, 1998.

14.

Dogan F. , Celebi SM Nonlinear viscoelastic deformation of soft tissues. In: Proceedings of the 15th International Biomedical Science and Technology , Vol. 1. Cyprus: ODTU, 2009.

15.

Nava A. , Mazza E. , Furrer M. , Villiger P. , and Reinhart WH In vivo mechanical characterization of human liver. Medical Image Analysis 2008; 12(2): 203-216.

16.

Lim YJ , De S. Real time simulation of nonlinear tissue response in virtual surgery using the point collocation-based method of finite spheres. Computer Methods in Applied Mechanics and Engineering 2007 ; 196(31-32): 3011-3024.

Real-time deformation simulation of non-linear viscoelastic soft tissues

Abstract

Keywords

Get full access to this article

References