In silico modeling of oxygen-enhanced MRI of specific ventilation.

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dc.contributor.author Kang, Wendy en
dc.contributor.author Tawhai, Merryn en
dc.contributor.author Clark, Alys en
dc.contributor.author Sá, Rui C en
dc.contributor.author Geier, Eric T en
dc.contributor.author Prisk, G Kim en
dc.contributor.author Burrowes, Kelly en
dc.date.accessioned 2018-12-05T02:27:55Z en
dc.date.issued 2018-04 en
dc.identifier.issn 2051-817X en
dc.identifier.uri http://hdl.handle.net/2292/44861 en
dc.description.abstract Specific ventilation imaging (SVI) proposes that using oxygen-enhanced 1H MRI to capture signal change as subjects alternatively breathe room air and 100% O2 provides an estimate of specific ventilation distribution in the lung. How well this technique measures SV and the effect of currently adopted approaches of the technique on resulting SV measurement is open for further exploration. We investigated (1) How well does imaging a single sagittal lung slice represent whole lung SV? (2) What is the influence of pulmonary venous blood on the measured MRI signal and resultant SVI measure? and (3) How does inclusion of misaligned images affect SVI measurement? In this study, we utilized two patient-based in silico models of ventilation, perfusion, and gas exchange to address these questions for normal healthy lungs. Simulation results from the two healthy young subjects show that imaging a single slice is generally representative of whole lung SV distribution, with a calculated SV gradient within 90% of that calculated for whole lung distributions. Contribution of O2 from the venous circulation results in overestimation of SV at a regional level where major pulmonary veins cross the imaging plane, resulting in a 10% increase in SV gradient for the imaging slice. A worst-case scenario simulation of image misalignment increased the SV gradient by 11.4% for the imaged slice. en
dc.format.medium Print en
dc.language eng en
dc.relation.ispartofseries Physiological reports 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 In silico modeling of oxygen-enhanced MRI of specific ventilation. en
dc.type Journal Article en
dc.identifier.doi 10.14814/phy2.13659 en
pubs.issue 7 en
pubs.begin-page e13659 en
pubs.volume 6 en
dc.rights.holder Copyright: The author en
dc.identifier.pmid 29659198 en
pubs.publication-status Published en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype research-article en
pubs.subtype Journal Article en
pubs.elements-id 738036 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
pubs.org-id Faculty of Engineering en
pubs.org-id Chemical & Materials Engineering en
dc.identifier.eissn 2051-817X en
pubs.record-created-at-source-date 2018-04-17 en
pubs.dimensions-id 29659198 en


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