title: Vortex Analysis of Intra-Aneurismal Flow in Cerebral Aneurysms.
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 knownλ2andQ-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.
authors.affiliation: Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, USA.
authors.forename: Kevin
authors.initials: K
authors.lastname: Sunderland
authors.affiliation: Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, USA.
authors.forename: Christopher
authors.initials: C
authors.lastname: Haferman
authors.affiliation: Siemens Medical Solution USA, Inc., Heffernan Estate, IL, USA.
authors.forename: Gouthami
authors.initials: G
authors.lastname: Chintalapani
authors.affiliation: Department of Biomedical Engineering, Michigan Technological University, Houghton, MI, USA.
authors.forename: Jingfeng
authors.identifier: 0000-0001-8812-6246
authors.initials: J
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D000783:Aneurysm / Q000175:diagnosis / Q000503:physiopathology; D015901:Angiography, Digital Subtraction; D001783:Blood Flow Velocity; D002560:Cerebrovascular Circulation; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006439:Hemodynamics; D018056:Hemorheology; D006801:Humans; D021621:Imaging, Three-Dimensional; D002532:Intracranial Aneurysm / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D018570:Risk Assessment; D012984:Software