title: Multiscale flow patterns within an intracranial aneurysm phantom.
abstract: Straightforward quantification of variations of flow patterns within aneurysms fails to accurately describe flow patterns of interest. We applied a multiscale decomposition of the flow in well-defined patterns to detect and quantify flow patterns in an aneurysm phantom that was studied with three different modalities: MRI, computational fluid dynamics, and particle image velocimetry. The method intuitively visualizes main patterns such as locally uniform flow, in- and outflow, and vortices. It is shown that this method is a valuable tool to quantitatively compare scale-dependent complex flow patterns in aneurysms.
authors.affiliation: Biomedical Engineering and Physics Department, Academic Medical Center, University of Amsterdam, Amsterdam 1012 ZA, The Netherlands. h.a.marquering@amc.uva.nl
authors.forename: Henk A
authors.initials: HA
authors.lastname: Marquering
authors.forename: Pim
authors.initials: P
authors.lastname: van Ooij
authors.forename: Geert J
authors.initials: GJ
authors.lastname: Streekstra
authors.forename: Joppe J
authors.initials: JJ
authors.lastname: Schneiders
authors.forename: Charles B
authors.initials: CB
authors.lastname: Majoie
authors.forename: Ed
authors.initials: E
authors.lastname: vanBavel
authors.forename: Aart J
authors.initials: AJ
authors.lastname: Nederveen
mesh_terms: D001783:Blood Flow Velocity / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D002532:Intracranial Aneurysm / Q000503:physiopathology*; D018810:Magnetic Resonance Angiography; D008955:Models, Cardiovascular; D019047:Phantoms, Imaging; D012212:Rheology