Image-based computational fluid dynamics in the lung: virtual reality or new clinical practice?

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dc.contributor.author Burrowes, Kelly en
dc.contributor.author De Backer, Jan en
dc.contributor.author Kumar, Haribalan en
dc.date.accessioned 2018-10-15T03:13:50Z en
dc.date.issued 2017-11 en
dc.identifier.issn 1939-5094 en
dc.identifier.uri http://hdl.handle.net/2292/41668 en
dc.description.abstract The development and implementation of personalized medicine is paramount to improving the efficiency and efficacy of patient care. In the respiratory system, function is largely dictated by the choreographed movement of air and blood to the gas exchange surface. The passage of air begins in the upper airways, either via the mouth or nose, and terminates at the alveolar interface, while blood flows from the heart to the alveoli and back again. Computational fluid dynamics (CFD) is a well-established tool for predicting fluid flows and pressure distributions within complex systems. Traditionally CFD has been used to aid in the effective or improved design of a system or device; however, it has become increasingly exploited in biological and medical-based applications further broadening the scope of this computational technique. In this review, we discuss the advancement in application of CFD to the respiratory system and the contributions CFD is currently making toward improving precision medicine. The key areas CFD has been applied to in the pulmonary system are in predicting fluid transport and aerosol distribution within the airways. Here we focus our discussion on fluid flows and in particular on image-based clinically focused CFD in the ventilatory system. We discuss studies spanning from the paranasal sinuses through the conducting airways down to the level of the alveolar airways. The combination of imaging and CFD is enabling improved device design in aerosol transport, improved biomarkers of lung function in clinical trials, and improved predictions and assessment of surgical interventions in the nasal sinuses. WIREs Syst Biol Med 2017, 9:e1392. doi: 10.1002/wsbm.1392 For further resources related to this article, please visit the WIREs website. en
dc.format.medium Print-Electronic en
dc.language eng en
dc.relation.ispartofseries Wiley interdisciplinary reviews. Systems biology and medicine 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.subject Lung en
dc.subject Extracellular Fluid en
dc.subject Animals en
dc.subject Humans en
dc.subject Imaging, Three-Dimensional en
dc.subject Respiratory Transport en
dc.subject Models, Biological en
dc.subject Virtual Reality en
dc.title Image-based computational fluid dynamics in the lung: virtual reality or new clinical practice? en
dc.type Journal Article en
dc.identifier.doi 10.1002/wsbm.1392 en
pubs.issue 6 en
pubs.volume 9 en
dc.rights.holder Copyright: The author en
dc.identifier.pmid 28608962 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Review en
pubs.subtype Journal Article en
pubs.elements-id 631170 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
dc.identifier.eissn 1939-005X en
pubs.record-created-at-source-date 2017-06-14 en
pubs.dimensions-id 28608962 en


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