Cardiovascular‐interventional‐surgery virtual training platform and its preliminary evaluation

Cardiovascular interventional surgery (CIS) training has mainly been performed with fluoroscopic guidance on animals. However, this has potential drawbacks, including from the anatomical differences between animal models and the human body. The purpose of this research is to develop a virtual training platform for inexperienced trainees.

[1]  N. John,et al.  Physics-based virtual environment for training core skills in vascular interventional radiological procedures. , 2008, Studies in health technology and informatics.

[2]  Eitan Grinspun,et al.  Discrete elastic rods , 2008, ACM Trans. Graph..

[3]  David L. Lacey,et al.  Vascular and Interventional Radiology , 2000 .

[4]  Farrokh Janabi-Sharifi,et al.  Kinematic characterization of a cardiac ablation catheter , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[5]  Matthias Teschner,et al.  Non-iterative Computation of Contact Forces for Deformable Objects , 2007, J. WSCG.

[6]  Hannes Bleuler,et al.  Real-time haptic interface for VR colonoscopy simulation. , 2005, Studies in health technology and informatics.

[7]  Fernando Bello,et al.  Real-time Seldinger technique simulation in complex vascular models , 2009, International Journal of Computer Assisted Radiology and Surgery.

[8]  Farrokh Janabi-Sharifi,et al.  Catheter Kinematics for Intracardiac Navigation , 2009, IEEE Transactions on Biomedical Engineering.

[9]  Derek Gould,et al.  A realistic elastic rod model for real-time simulation of minimally invasive vascular interventions , 2010, The Visual Computer.

[10]  Joseph S. B. Mitchell,et al.  Efficient Collision Detection Using Bounding Volume Hierarchies of k-DOPs , 1998, IEEE Trans. Vis. Comput. Graph..

[11]  Fei Wang,et al.  A real-time simulator for interventional radiology , 2008, VRST '08.

[12]  Yanjun Zeng,et al.  Application study of medical robots in vascular intervention , 2011, The international journal of medical robotics + computer assisted surgery : MRCAS.

[13]  Fernando Bello,et al.  Real-time guidewire simulation in complex vascular models , 2009, The Visual Computer.

[14]  Hannes Bleuler,et al.  A real-time haptic interface for interventional radiology procedures. , 2005, Studies in health technology and informatics.

[15]  Akio Morita,et al.  Master–slave robotic platform and its feasibility study for micro‐neurosurgery , 2013, The international journal of medical robotics + computer assisted surgery : MRCAS.

[16]  Qiang Zhao,et al.  Magnetic Navigation for Thoracic Aortic Stent-graft Deployment Using Ultrasound Image Guidance , 2013, IEEE Transactions on Biomedical Engineering.

[17]  Peter A. N. Bosman,et al.  Towards a Real-Time Minimally-Invasive Vascular Intervention Simulation System , 2007, IEEE Transactions on Medical Imaging.

[18]  K. Reynolds,et al.  Effect of soybean protein on novel cardiovascular disease risk factors: a randomized controlled trial , 2013, European Journal of Clinical Nutrition.

[19]  H. Bleuler,et al.  A Computer-Based Real-Time Simulation of Interventional Radiology , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[20]  J. Wendlandt,et al.  ICTS, an interventional cardiology training system. , 2000, Studies in health technology and informatics.

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