A Novel Composit Vascularized FEM Model for Liver Surgery Simulation and Guidance

In order to acquire comprehensive information from the limited visual feedback of liver surgery under endoscope, a liver model with high accuracy and low time consumption is indispensable. Many researchers has studied the biomechanical models of liver focusing on parenchyma elasticity and viscosity property in order to simulation the realtime deformation during the surgery, but only a few of them consider the vascular network. Some vascularized liver models contain ill-conditioned matrix issue that makes the choices of solver strictly limited. In the paper we propose a novel method to construct a real-time composite model in order to reduce this limitation. Instead of constructing the global stiffness matrix, we build FEM models for parenchyma and vessels separately and couple them with propagation of force and deformation. We apply a new mapping method to distribute the torque applied on the beam node to linear forces of the tetrahedron nodes. The simulation results show the feasibility of our method under certain precision.

[1]  Hervé Delingette,et al.  Nonlinear and anisotropic elastic soft tissue models for medical simulation , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[2]  Nazim Haouchine,et al.  Impact of Soft Tissue Heterogeneity on Augmented Reality for Liver Surgery , 2015, IEEE Transactions on Visualization and Computer Graphics.

[3]  Shuxiang Guo,et al.  Tensor-mass Model based real-time simulation of vessel deformation and force feedback for the interventional surgery training system , 2017, 2017 IEEE International Conference on Mechatronics and Automation (ICMA).

[4]  Hervé Delingette,et al.  Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery. , 2010, Progress in biophysics and molecular biology.

[5]  Christian Duriez,et al.  SOFA: A Multi-Model Framework for Interactive Physical Simulation , 2012 .

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

[7]  Stephane Cotin,et al.  Modeling and Real-Time Simulation of a Vascularized Liver Tissue , 2012, MICCAI.

[8]  Logan W. Clements,et al.  Concepts and Preliminary Data Toward the Realization of Image-guided Liver Surgery , 2007, Journal of Gastrointestinal Surgery.

[9]  Nazim Haouchine,et al.  The Role of Ligaments: Patient-Specific or Scenario-Specific? , 2014, ISBMS.

[10]  Theodore Kim,et al.  Semi-automated soft-tissue acquisition and modeling for surgical simulation , 2009, 2009 IEEE International Conference on Automation Science and Engineering.

[11]  J. Mitani,et al.  Novel 3-dimensional virtual hepatectomy simulation combined with real-time deformation. , 2015, World journal of gastroenterology.

[12]  C. Duriez,et al.  New approaches to catheter navigation for interventional radiology simulation , 2006, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[13]  Shuxiang Guo,et al.  Elasticity analysis of Mass-spring model-based virtual reality vascular simulator , 2014, 2014 IEEE International Conference on Mechatronics and Automation.

[14]  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.

[15]  Stephane Cotin,et al.  Simulation of Pneumoperitoneum for Laparoscopic Surgery Planning , 2012, MICCAI.

[16]  Heidar Ali Talebi,et al.  A three‐dimensional large deformation model for soft tissue using meshless method , 2016, The international journal of medical robotics + computer assisted surgery : MRCAS.