Fluid-Structure Simulations of a Ruptured Intracranial Aneurysm: Constant versus Patient-Specific Wall Thickness

Comput Math Methods Med. 2016:2016:9854539. doi: 10.1155/2016/9854539. Epub 2016 Sep 18.

Abstract

Computational Fluid Dynamics is intensively used to deepen the understanding of aneurysm growth and rupture in order to support physicians during therapy planning. However, numerous studies considering only the hemodynamics within the vessel lumen found no satisfactory criteria for rupture risk assessment. To improve available simulation models, the rigid vessel wall assumption has been discarded in this work and patient-specific wall thickness is considered within the simulation. For this purpose, a ruptured intracranial aneurysm was prepared ex vivo, followed by the acquisition of local wall thickness using μCT. The segmented inner and outer vessel surfaces served as solid domain for the fluid-structure interaction (FSI) simulation. To compare wall stress distributions within the aneurysm wall and at the rupture site, FSI computations are repeated in a virtual model using a constant wall thickness approach. Although the wall stresses obtained by the two approaches-when averaged over the complete aneurysm sac-are in very good agreement, strong differences occur in their distribution. Accounting for the real wall thickness distribution, the rupture site exhibits much higher stress values compared to the configuration with constant wall thickness. The study reveals the importance of geometry reconstruction and accurate description of wall thickness in FSI simulations.

MeSH terms

  • Adult
  • Algorithms
  • Aneurysm, Ruptured / diagnostic imaging*
  • Aneurysm, Ruptured / physiopathology
  • Circle of Willis / diagnostic imaging
  • Circle of Willis / physiopathology
  • Computer Simulation
  • Hemodynamics
  • Humans
  • Hydrodynamics
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Intracranial Aneurysm / diagnostic imaging*
  • Intracranial Aneurysm / physiopathology
  • Male
  • Pattern Recognition, Automated
  • Risk Assessment
  • Shear Strength
  • Stress, Mechanical
  • Surface Properties
  • X-Ray Microtomography