Sonification of Flow Instabilities in CFD Aneurysm Models

dc.contributor.authorMacDonald, Daniel E.
dc.contributor.authorNatarajan, Thangam
dc.contributor.authorWindeyer, Richard C.
dc.contributor.authorCoppin, Peter W.
dc.contributor.authorSteinman, David A.
dc.date.accessioned2018-11-08T17:45:36Z
dc.date.available2018-11-08T17:45:36Z
dc.date.issuedMay-18
dc.descriptionPaper presented at 2018 Canadian Society of Mechanical Engineers International Congress, 27-30 May 2018.en_US
dc.description.abstractRecent investigations using image-based computational flow dynamics (CFD) have revealed turbulent-like blood flow instabilities (hemodynamics) within intracranial cerebral aneurysms and surrounding vasculature, which may contribute to aneurysm initiation, growth, and rupture. We describe a method derived from spectral decomposition of flow for inspecting and characterizing these “turbulent-like” hemodynamic structures in intracranial aneurysms by sonification of CFD generated data. Motivated by auscultation techniques, the current research seeks to address the limitations of conventional CFD animations by allowing the user to listen to complex flow patterns that are often difficult to discern visually. In the process, the proposed method of sonification is successfully applied to a series of datasets resulting from highfidelity numerical simulations of intracranial aneurysms. The resulting framework is shown to be highly efficient in performing parametric sonification in real time.en_US
dc.identifierCSME190
dc.identifier.isbn978-1-77355-023-7
dc.identifier.urihttp://hdl.handle.net/10315/35338
dc.identifier.urihttp://dx.doi.org/10.25071/10315/35338
dc.language.isoenen_US
dc.publisherCSME-SCGMen_US
dc.rightsThe copyright for the paper content remains with the author
dc.subjectCFD
dc.subjectBiomedical
dc.subjectSonification
dc.subjectSignal processing
dc.subjectBiomechanics and Biomedical Engineeringen_US
dc.subjectFluid Mechanicsen_US
dc.titleSonification of Flow Instabilities in CFD Aneurysm Modelsen_US
dc.typeArticleen_US

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