Vascular Hemodynamics with Computational Modeling and Experimental Studies

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dc.contributor.author Beier, Susann en
dc.contributor.author Ormiston, J en
dc.contributor.author Webster, M en
dc.contributor.author Cater, John en
dc.contributor.author Norris, Stuart en
dc.contributor.author Medrano Gracia, Pau en
dc.contributor.author Young, Alistair en
dc.contributor.author Cowan, Brett en
dc.contributor.editor Balocco, S en
dc.contributor.editor Zuluaga, MA en
dc.contributor.editor Zahnd, G en
dc.contributor.editor Lee, S en
dc.contributor.editor Demirci, S en
dc.date.accessioned 2017-03-22T04:17:07Z en
dc.date.issued 2017 en
dc.identifier.citation In Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting. Editors: Balocco S, Zuluaga M, Zahnd G, Lee SL, Demirci S . 227-251. Academic Press, 2017 en
dc.identifier.isbn 978-0-12-811018-8 en
dc.identifier.uri http://hdl.handle.net/2292/32283 en
dc.description.abstract This chapter discusses coronary artery flow assessment for atherosclerosis investigations. The overall goal is to foster the reader’s understanding of coronary flow assessment with CFD and experimental MRI, including advantages, shortcomings, and potential for clinical applicability. In Section 1, we begin by introducing coronary artery disease and how it links to local blood flow and hemodynamic parameters, before introducing strategies to investigating coronary flow for risk assessment—computational modeling and experimental studies. Both of these need the artery geometry and embedded stents to be retrieved first, as detailed in Section 2. Section 3 details the concepts of computational coronary flow modeling with computational fluid dynamics (CFD) including the governing equations, mesh discretization, and boundary and initial conditions. Section 4 introduces experimental approaches using in vitro flow sensitive magnetic resonance imaging (MRI), including dynamic scaling for steady or transient state considerations, creation of phantom, consideration of vessel compliance and motion, non-Newtonian blood properties, and the design of an experimental circuit. Postprocessing, analysis, and comparison of both methods are explained in Section 5, before discussion of the accuracy and reliability of the results in Section 6. Finally, current developments, particularly patient-specific profiling, are discussed in Section 7. en
dc.publisher Elsevier Ltd en
dc.relation.ispartof Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Vascular Hemodynamics with Computational Modeling and Experimental Studies en
dc.type Book Item en
dc.identifier.doi 10.1016/B978-0-12-811018-8.00009-6 en
pubs.begin-page 227 en
dc.rights.holder Copyright: Academic Press en
pubs.end-page 251 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.elements-id 547494 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Engineering en
pubs.org-id Engineering Science en
pubs.org-id Mechanical Engineering en
pubs.org-id Medical and Health Sciences en
pubs.org-id Medical Sciences en
pubs.org-id Anatomy and Medical Imaging en
pubs.number 9 en
pubs.online-publication-date 2017-01-13 en


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