Thermal–Mechanical-Based Soft Tissue Deformation for Surgery Simulation

Soft tissue deformation is of great importance to virtual reality-based surgery simulation. This paper presents a new methodology for the modeling of soft tissue deformation. This methodology converts soft tissue deformation into thermal–mechanical interaction according to the continuum mixture theory of soft tissues, and thus heat conduction of mechanical load and non-rigid mechanics of motion are combined to govern the dynamics of soft tissue deformation. The mechanical load applied to a soft tissue to cause a deformation is distributed among mass points of the soft tissue according to the principle of heat conduction. A thermal–mechanical model and associated model construction algorithms are developed to describe the distribution of the mechanical load in the tissue. A heat flux-based method is established for derivation of internal forces from the distribution of the mechanical load. Real-time interactive deformation of virtual human organs with force feedback has been achieved by the proposed methodology for surgery simulation. The proposed methodology not only accommodates isotropic, anisotropic and inhomogeneous materials by simply modifying thermal conductivity constants, but it also accepts local and large-range deformation.

[1]  Doug L. James,et al.  Real-Time subspace integration for St. Venant-Kirchhoff deformable models , 2005, SIGGRAPH 2005.

[2]  Cagatay Basdogan,et al.  Virtual environments for medical training: graphical and haptic simulation of laparoscopic common bile duct exploration , 2001 .

[3]  Walter Maurel,et al.  Biomechanical Models for Soft Tissue Simulation , 2003, Esprit Basic Research Series.

[4]  Herve Delingette,et al.  Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation , 1999, IEEE Trans. Vis. Comput. Graph..

[5]  Yu Zhang,et al.  A new physical model with multilayer architecture for facial expression animation using dynamic adaptive mesh , 2004, IEEE Transactions on Visualization and Computer Graphics.

[6]  Denis Laurendeau,et al.  Modelling liver tissue properties using a non-linear viscoelastic model for surgery simulation , 2002 .

[7]  Jernej Barbic,et al.  Real-Time subspace integration for St. Venant-Kirchhoff deformable models , 2005, ACM Trans. Graph..

[8]  Sarah F. Frisken 3D Chainmail: A Fast Algorithm for Deforming Volumetric Objects , 1997, SI3D.

[9]  Bijan Shirinzadeh,et al.  An autowave based methodology for deformable object simulation , 2006, Comput. Aided Des..

[10]  A. Katchalsky,et al.  Nonequilibrium Thermodynamics in Biophysics , 1965 .

[11]  Stephane Cotin,et al.  A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation , 1999, Proceedings Computer Animation 1999.

[12]  H. Yao,et al.  Convection and Diffusion in Charged Hydrated Soft Tissues: A Mixture Theory Approach , 2007, Biomechanics and modeling in mechanobiology.

[13]  M. Bro-Nielsen,et al.  Finite element modeling in surgery simulation , 1998, Proc. IEEE.

[14]  W M Lai,et al.  A continuum theory and an experiment for the ion-induced swelling behavior of articular cartilage. , 1984, Journal of biomechanical engineering.

[15]  Martin H. Sadd,et al.  Elasticity: Theory, Applications, and Numerics , 2004 .

[16]  Hervé Delingette,et al.  Computational Models for Image-Guided Robot-Assisted and Simulated Medical Interventions , 2006, Proceedings of the IEEE.

[17]  B. Persson,et al.  Thermal conductivity of uterine tissue in vitro. , 1998, Physics in medicine and biology.

[18]  L. L. Bucciarelli,et al.  Engineering Mechanics of Solids , 1994 .

[19]  Hyeong-Seok Ko,et al.  Modal warping: real-time simulation of large rotational deformation and manipulation , 2004, IEEE Transactions on Visualization and Computer Graphics.

[20]  Pheng-Ann Heng,et al.  An improved scheme of an interactive finite element model for 3D soft-tissue cutting and deformation , 2005, The Visual Computer.

[21]  Denis Laurendeau,et al.  Modelling liver tissue properties using a non-linear visco-elastic model for surgery simulation , 2005, Medical Image Anal..

[22]  Mathieu Desbrun,et al.  Dynamic real-time deformations using space & time adaptive sampling , 2001, SIGGRAPH.

[23]  Wolfgang Straßer,et al.  Deriving a Particle System from Continuum Mechanics for the Animation of Deformable Objects , 2003, IEEE Trans. Vis. Comput. Graph..

[24]  R. Balaniuk,et al.  LEM-An approach for physically based soft tissue simulation suitable for haptic interaction , .

[25]  James F. O'Brien,et al.  Interpolating and approximating implicit surfaces from polygon soup , 2005, SIGGRAPH 2005.

[26]  Dong-Soo Kwon,et al.  Real-time haptic rendering of a high-resolution volumetric deformable object in a collaborative virtual environment , 2005, Adv. Robotics.

[27]  W M Lai,et al.  A triphasic theory for the swelling and deformation behaviors of articular cartilage. , 1991, Journal of biomechanical engineering.

[28]  Hervé Delingette,et al.  Non-linear anisotropic elasticity for real-time surgery simulation , 2003, Graph. Model..

[29]  Jung Kim,et al.  In Vivo Mechanical Behavior of Intra-abdominal Organs , 2006, IEEE Transactions on Biomedical Engineering.

[30]  A I Weir,et al.  Neuromagnetic recordings of the human peripheral nerve with planar SQUID gradiometers. , 1998, Physics in medicine and biology.

[31]  J. Baish,et al.  A multi-sensor array to measure anisotropic thermal conductivity of tissue , 1988, Proceedings of the 1988 Fourteenth Annual Northeast Bioengineering Conference.

[32]  Bijan Shirinzadeh,et al.  A Cellular Neural Network Methodology for Deformable Object Simulation , 2006, IEEE Transactions on Information Technology in Biomedicine.

[33]  Kup-Sze Choi,et al.  Interactive deformation of soft tissues with haptic feedback for medical learning , 2003, IEEE Transactions on Information Technology in Biomedicine.

[34]  Mariano Alcañiz Raya,et al.  Real-time deformable models for surgery simulation: a survey , 2005, Comput. Methods Programs Biomed..

[35]  William R. Mark,et al.  Cg: a system for programming graphics hardware in a C-like language , 2003, ACM Trans. Graph..

[36]  Jean W. Zu,et al.  Design of a resonator device for in vivo measurement of regional tissue viscoelasticity , 2007 .

[37]  Markus H. Gross,et al.  Interactive Haptic Rendering of High-Resolution Deformable Objects , 2007, HCI.

[38]  Mark A. Ganter,et al.  Real-time finite element modeling for surgery simulation: an application to virtual suturing , 2004, IEEE Transactions on Visualization and Computer Graphics.

[39]  Walter Herzog,et al.  Simulating the swelling and deformation behaviour in soft tissues using a convective thermal analogy , 2002, Biomedical engineering online.

[40]  Yuan-Shin Lee,et al.  Cutting on triangle mesh: local model-based haptic display for dental preparation surgery simulation , 2005, IEEE Transactions on Visualization and Computer Graphics.

[41]  Hervé Delingette,et al.  Improving realism of a surgery simulator: linear anisotropic elasticity, complex interactions and force extrapolation , 2002, Comput. Animat. Virtual Worlds.

[42]  Stephane Cotin,et al.  A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation , 2000, The Visual Computer.

[43]  Mariano Alcañiz Raya,et al.  A new approach for the real-time simulation of tissue deformations in surgery simulation , 2001, Comput. Methods Programs Biomed..

[44]  Steve Benford,et al.  Virtual reality simulation of surgery with haptic feedback based on the boundary element method , 2007 .

[45]  Ratan K. Guha,et al.  3D Soft Body Simulation Using Mass-spring System with Internal Pressure Force and Simplified Implicit Integration , 2007, J. Comput..