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A virtual coiling technique for image-based aneurysm models by dynamic path planning.

Hernán G Morales1, Ignacio Larrabide, Arjan J Geers

  • 1Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Information and Communications Technologies Department, Universitat Pompeu Fabra (UPF), Barcelona, Spain. hernan.morales@upf.edu

IEEE Transactions on Medical Imaging
|September 26, 2012
PubMed
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This study introduces a virtual coiling technique to simulate endovascular coil insertion for aneurysms. The method accurately models coil packing and predicts hemodynamic changes, aiding clinical treatment planning.

Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Medical Imaging

Background:

  • Computational modeling of endovascular devices is gaining interest for clinical support.
  • Understanding intravascular hemodynamics and predicting treatment outcomes are key challenges.

Purpose of the Study:

  • To propose a virtual coiling technique for treating image-based aneurysm models.
  • To mimic coil structure, distribution, and achieve high packing densities.

Main Methods:

  • Dynamic path planning to simulate coil insertion.
  • Testing on idealized and image-based aneurysm models.
  • Validation using clinical data from real coiled aneurysms.

Main Results:

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  • The virtual coiling technique accurately reproduces macroscopic coil behavior, densities, shapes, and distributions.
  • Computational fluid dynamics (CFD) simulations showed reduced wall shear stress and intra-aneurysmal velocities post-coiling.
  • CFD revealed decreased contrast agent entry and increased residence time within the aneurysm.

    • Conclusions:

    • The proposed virtual coiling technique is a validated tool for simulating endovascular coil embolization.
    • This method aids in understanding post-treatment hemodynamics and optimizing aneurysm treatment strategies.