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A real-time simulator for interventional radiology

Published:27 October 2008Publication History

ABSTRACT

Interventional radiologists manipulate guidewires and catheters and steer stents through the patient's vascular system under X-ray imaging for treatment of vascular diseases. The complexity of these procedures makes training mandatory in order to master hand-eye coordination, instrument manipulation and procedure protocols for each radiologist. In this paper we present a simulator for interventional radiology, which deploys a model of guidewire/catheter based on the Cosserat theory applied to one-dimensional structures. This model starts from the energetic formulation of the flament considering the Hook laws of continuum mechanics. The Lagrange formulations are used to describe the model deformation. This model takes (self-) collisions into account and it is revealed to be very efficient for interactive applications. The simulation environment allows to carry out the most common procedures: guidewire and catheter navigation, contrast dye injection to visualize the vessels, balloon angioplasty and stent placement. Moreover, heartbeat as well as breathing are also simulated visually.

References

  1. Alderliesten, T. 2004. Simulation of Minimally Invasive Vascular Interventions for Training Purposes. PhD thesis, University of Utrecht.Google ScholarGoogle Scholar
  2. Antman, S. 1995. Nonlinear problems of elasticity.Google ScholarGoogle Scholar
  3. Basdogan, C., Ho, C., and Srinivasan, M. 2001. Virtual environments for medical training: Graphical and haptic simulation of laparoscopic common bile duct exploration. IEEE Transactions on Mechatronics 6, 3, 269--284.Google ScholarGoogle ScholarCross RefCross Ref
  4. Bosman, P., and Alderliesten, T. 2005. Evolutionary algorithms for medical simulations: A case study in minimally-invasive vascular interventions. In Proc. of the 2005 workshop on Genetic and Evolutionary Computation, 125--132. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Cosserat, E., and Cosserat, F. 1908. Sur la théorie des corps minces. Comptes Rendus de l'Académie des Sciences de Paris 146, 169--172.Google ScholarGoogle Scholar
  6. Cotin, S., Duriez, C., Lenoir, J., Neumann, P., and Dawson, S. 2005. New approaches to catheter navigation for interventional radiology simulation. In Proc. of MICCAI 2005, 534--542. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Dichmann, D. 1994. Hamiltonian Dynamics of a Spatial Elastica and the Stability of Solitary Waves. PhD thesis, University of Maryland.Google ScholarGoogle Scholar
  8. Goyal, S., Perkins, N., and Lee, C. 2003. Writhing dynamics of cables with self-contact. In Proc. of Fifth International Symposium on Cable Dynamics, 27--36.Google ScholarGoogle Scholar
  9. Grégoire, M., and Schomer, E. 2007. Interactive simulation of one-dimensional flexible parts. Computer Aided-Design 39, 8, 694--707. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. James, G., and Green, S., 2004. Real-time animated translucency. GDC 2004 Slides.Google ScholarGoogle Scholar
  11. Lawton, W., Poston, T., Raghavan, R., Ranjan, S., Viswanathan, R., Wang, Y., and Yu, Y. 1997. Variational methods for biomedical computing. In Proc. of Symposium of Computational Science for the 21rst Century, 447--456.Google ScholarGoogle Scholar
  12. Lawton, W., Raghavan, R., Ranjan, S., and Viswanathan, R. 2000. Tubes in tubes: catheter navigation in blood vessels and its applications. International Journal of Solids and Structures 37, 3031--3054.Google ScholarGoogle ScholarCross RefCross Ref
  13. Pai, D. 2002. Strands: Interactive simulation of thin solids using cosserat models. Computer Graphics Forum 21, 3, 347--352.Google ScholarGoogle ScholarCross RefCross Ref
  14. Quinlan, S. 1994. Efficient distance computation between non-convex objects. In Proc. of the IEEE International Conference on Robotics and Automation, 3324--3329.Google ScholarGoogle ScholarCross RefCross Ref
  15. Spillmann, J., and Teschner, M. 2007. Corde: Cosserat rod elements for the dynamic simulation of one-dimensional elastic rods. In Proc. of the 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 209--217. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Wang, Y., Chui, C., Lim, H., Cai, Y., and Mak, K. 1998. Real-time interactive simulator for percutaneous coronary revascularization procedures. Computer Aided Surgery 3, 5, 211--227.Google ScholarGoogle ScholarCross RefCross Ref
  17. Wang, F., Duratti, L., Samur, E., Spaelter, U., and Bleuler, H. 2007. A Computer-Based Real-Time Simulation of Interventional Radiology. In 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE-EMBS), 1742--1745.Google ScholarGoogle Scholar

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            cover image ACM Conferences
            VRST '08: Proceedings of the 2008 ACM symposium on Virtual reality software and technology
            October 2008
            288 pages
            ISBN:9781595939517
            DOI:10.1145/1450579

            Copyright © 2008 ACM

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            Publication History

            • Published: 27 October 2008

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            VRST '08 Paper Acceptance Rate12of68submissions,18%Overall Acceptance Rate66of254submissions,26%

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