Image-based haemodynamics simulation in intracranial aneurysms

  • A. G. Radaelli
  • H. Bogunović
  • M. C. Villa Uriol
  • J. R. Cebral
  • A. F. FrangiEmail author


Image-based haemodynamics simulation is a computational technique that combines patient-specific vascular modeling from medical images with Computational Fluid Dynamics techniques to approximate the complex blood flow characteristics of healthy and diseased vessels. Advances in image quality, algorithmic sophistication and computing power are enabling the introduction of such technology not only as a biomedical research tool but also for clinical practice. In particular, the interaction between haemodynamical forces and arterial wall biology is believed to play an important role in the formation, growth and, eventually, rupture of intracranial aneurysms. Due to the absence of ground truth image modalities to measure blood flow, image-based haemodynamics simulation represents an attractive tool to provide insight into the haemodynamics characteristics of intracranial aneurysms. In this chapter, we provide an overview of the main components of this technique, illustrate recent efforts in its validation and sensitivity analysis and discuss preliminary clinical studies and future research directions.


Wall Shear Stress Magnetic Resonance Angiography Intracranial Aneurysm Computational Fluid Dynamics Simulation Spectral Element Method 
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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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • A. G. Radaelli
    • 1
  • H. Bogunović
    • 2
  • M. C. Villa Uriol
    • 3
  • J. R. Cebral
    • 4
  • A. F. Frangi
    • 3
    Email author
  1. 1.CISTIB Centre for Computational Imaging & Modelling in BiomedicineUniversitat Pompeu FabraBarcelonaSpain
  2. 2.CISTIB Centre for Computational Imaging & Modelling in BiomedicineUniversity of SheffieldBarcelonaSpain
  3. 3.CISTIB Centre for Computational Imaging & Modelling in BiomedicineUniversity of SheffieldSheffieldUK
  4. 4.Center for Computational Fluid Dynamics, School of Physics, Astronomy and Computational SciencesGeorge Mason UniversityFairfaxUSA

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