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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2009: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 pp 377–385Cite as

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Towards Interactive Planning of Coil Embolization in Brain Aneurysms

Towards Interactive Planning of Coil Embolization in Brain Aneurysms

  • Jeremie Dequidt21,
  • Christian Duriez21,
  • Stephane Cotin21 &
  • …
  • Erwan Kerrien22 
  • Conference paper
  • 2812 Accesses

  • 5 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 5761)

Abstract

Many vascular pathologies can now be treated in a minimally invasive way thanks to interventional radiology. Instead of open surgery, it allows to reach the lesion of the arteries with therapeutic devices through a catheter. As a particular case, intracranial aneurysms are treated by filling the localized widening of the artery with a set of coils to prevent a rupture due to the weakened arterial wall. Considering the location of the lesion, close to the brain, and its very small size, the procedure requires a combination of careful planning and excellent technical skills. An interactive and reliable simulation, adapted to the patient anatomy, would be an interesting tool for helping the interventional neuroradiologist plan and rehearse a coil embolization procedure. This paper describes an original method to perform interactive simulations of coil embolization and proposes a clinical metric to quantitatively measure how the first coil fills the aneurysm. The simulation relies on an accurate reconstruction of the aneurysm anatomy and a real-time model of the coil for which sliding and friction contacts are taken into account. Simulation results are compared to real embolization procedure and exhibit good adequacy.

Keywords

  • Contact Force
  • Beam Element
  • Intracranial Aneurysm
  • Detachable Coil
  • Aneurysm Wall

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. INRIA Lille Nord Europe - Alcove Team, 50, avenue Halley, 59655, Villeneuve d’Ascq, France

    Jeremie Dequidt, Christian Duriez & Stephane Cotin

  2. INRIA Nancy Grand Est - Magrit Team, Campus Scientifique, 54506, Vandoeuvre-lès-Nancy, France

    Erwan Kerrien

Authors
  1. Jeremie Dequidt
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  2. Christian Duriez
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  3. Stephane Cotin
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  4. Erwan Kerrien
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Editor information

Editors and Affiliations

  1. Institute of Biomedical Engineering, Imperial College London, London, UK

    Guang-Zhong Yang

  2. Centre for Medical Image Computing, University College London, London, UK

    David Hawkes

  3. Department of Computing, Imperial College London, London, UK

    Daniel Rueckert

  4. Institute of Biomedical Engineering, University of Oxford, Oxford, UK

    Alison Noble

  5. School of Computer Science, University of Manchester, Manchester, UK

    Chris Taylor

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© 2009 Springer-Verlag Berlin Heidelberg

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Cite this paper

Dequidt, J., Duriez, C., Cotin, S., Kerrien, E. (2009). Towards Interactive Planning of Coil Embolization in Brain Aneurysms. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04268-3_47

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  • DOI: https://doi.org/10.1007/978-3-642-04268-3_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04267-6

  • Online ISBN: 978-3-642-04268-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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