Title of article :
Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms
Author/Authors :
Sunderland, Kevin Department of Biomedical Engineering - Michigan Technological University - Houghton, USA , Haferman, Christopher Department of Biomedical Engineering - Michigan Technological University - Houghton, USA , Chintalapani, Gouthami Siemens Medical Solution USA - Heffernan Estate, USA , Jiang, Jingfeng Department of Biomedical Engineering - Michigan Technological University - Houghton, USA
Abstract :
This study aims to develop an alternative vortex analysis method by measuring structure ofIntracranial aneurysm (IA) flow vortexes
across the cardiac cycle, to quantify temporal stability of aneurismal flow. Hemodynamics were modeled in “patient-specific”
geometries, using computational fluid dynamics (CFD) simulations. Modified versions of known 𝜆2 and 𝑄-criterion methods
identified vortex regions; then regions were segmented out using the classical marching cube algorithm. Temporal stability was
measured by the degree of vortex overlap (DVO) at each step of a cardiac cycle against a cycle-averaged vortex and by the change
in number of cores over the cycle. No statistical differences exist in DVO or number of vortex cores between 5 terminal IAs and
5 sidewall IAs. No strong correlation exists between vortex core characteristics and geometric or hemodynamic characteristics of
IAs. Statistical independence suggests this proposed method may provide novel IA information. However, threshold values used to
determine the vortex core regions and resolution of velocity data influenced analysis outcomes and have to be addressed in future
studies. In conclusions, preliminary results show that the proposed methodology may help give novel insight toward aneurismal
flow characteristic and help in future risk assessment given more developments.
Keywords :
Vortex Analysis , Intra-Aneurismal , DVO , CFD
Journal title :
Computational and Mathematical Methods in Medicine