Vascular deformation for vascular interventional surgery simulation

Obtaining the expertise to perform minimally vascular interventional surgery (VIS) requires thorough training. Previous VIS simulators have generally assumed that blood vessels are rigid. However, vascular deformation occurs unavoidably in VIS. In this study, the arterial walls were analysed as soft tissue.

[1]  Gábor Székely,et al.  Mesh Topology Identification for Mass-Spring Models , 2003, MICCAI.

[2]  Kevin Kunkler,et al.  The role of medical simulation: an overview , 2006, The international journal of medical robotics + computer assisted surgery : MRCAS.

[3]  Wiro J. Niessen,et al.  Modeling Friction, Intrinsic Curvature, and Rotation of Guide Wires for Simulation of Minimally Invasive Vascular Interventions , 2007, IEEE Transactions on Biomedical Engineering.

[4]  Long Chen.  INTRODUCTION TO FINITE ELEMENT METHODS , 2003 .

[5]  Fumihito Arai,et al.  In vitro patient-tailored anatomical model of cerebral artery for evaluating medical robots and systems for intravascular neurosurgery , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  F.E.H. Tay,et al.  A Finite Element Method Based Deformable Brain Atlas Suited for Surgery Simulation , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[7]  Venkat Devarajan,et al.  Physically accurate mesh simulation in a laparoscopic hernia surgery simulator. , 2006, Studies in health technology and informatics.

[8]  Gábor Székely,et al.  Simultaneous Topology and Stiffness Identification for Mass-Spring Models Based on FEM Reference Deformations , 2004, MICCAI.

[9]  Allen Van Gelder,et al.  Approximate Simulation of Elastic Membranes by Triangulated Spring Meshes , 1998, J. Graphics, GPU, & Game Tools.

[10]  B. Gupta,et al.  Biomechanics of human common carotid artery and design of novel hybrid textile compliant vascular grafts. , 1997, Journal of biomedical materials research.

[11]  Zhao Lei,et al.  A Virtual Reality Simulator for Remote Interventional Radiology: Concept and Prototype Design , 2006, IEEE Transactions on Biomedical Engineering.

[12]  Ken Ikeuchi,et al.  Contact and friction between catheter and blood vessel , 2007 .

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

[14]  Stephane Cotin,et al.  Interactive physically-based simulation of catheter and guidewire , 2006, Comput. Graph..

[15]  Gábor Székely,et al.  Identification of Spring Parameters for Deformable Object Simulation , 2007, IEEE Transactions on Visualization and Computer Graphics.

[16]  Morten Bro-Nielsen,et al.  Real‐time Volumetric Deformable Models for Surgery Simulation using Finite Elements and Condensation , 1996, Comput. Graph. Forum.

[17]  S. Cotin,et al.  Designing a computer‐based simulator for interventional cardiology training , 2000, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

[18]  Abdellah Ajji,et al.  How to design a structure able to mimic the arterial wall mechanical behavior? , 2005 .

[19]  James H. Anderson,et al.  VR simulated training for less invasive vascular intervention , 2003, Comput. Graph..

[20]  Venkat Devarajan,et al.  1D and 2D structured mass-spring models with preload , 2005, The Visual Computer.

[21]  James H. Anderson,et al.  Computer Environment for Interventional Neuroradiology Procedures , 2001 .

[22]  Jessica K. Hodgins,et al.  Estimating cloth simulation parameters from video , 2003, SCA '03.

[23]  Venkat Devarajan,et al.  A novel laparoscopic mesh placement part task trainer , 2006, The international journal of medical robotics + computer assisted surgery : MRCAS.

[24]  Luis Pastor,et al.  Optimized linear FEM for modeling deformable objects , 2006, Comput. Animat. Virtual Worlds.

[25]  Wiro J Niessen,et al.  Simulation of minimally invasive vascular interventions for training purposes† , 2004, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.

[26]  Max A. Viergever,et al.  A quantitative analysis of 3-D coronary modeling from two or more projection images , 2004, IEEE Transactions on Medical Imaging.