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dc.contributor.authorChurch, Cody
dc.date.accessioned2018-09-04T17:31:37Z
dc.date.available2018-09-04T17:31:37Z
dc.identifier.urihttp://hdl.handle.net/10222/74209
dc.description.abstractPrevious asthma pulmonary functional modelling used the locations of ventilation defects observed in inhaled gas imaging to implement binary airway closures and required additional random narrowing in ventilated regions to describe measured impedance, compromising predicted ventilation. Here we used gradations in intensity discretized using k-means clustering, and simulated annealing to choose degrees of narrowing within these regions to minimize the difference between measured and predicted ventilation. We found that the resistance (p < 0.005), reactance (p < 0.05), and ventilation (p < 0.005) predicted by the graded narrowing model was closer to subjects’ measurements compared to the binary model. The graded approach did not fully account for the frequency dependence of resistance known to be indicative of heterogeneity. Thus, while the modelled airway narrowing predicted ventilation and impedance closer to subjects’ measurements than binary closures, other factors or unobserved heterogeneity are needed to account for additional frequency dependence of resistance.en_US
dc.language.isoenen_US
dc.subjectOscillometryen_US
dc.subjectHyperpolarized 3He Magnetic Resonance Imagingen_US
dc.subjectVentilation Distributionen_US
dc.subjectAirway Tree Modelen_US
dc.titleAdvances in Respiratory Impedance Predictions using Pulmonary Functional Imaging Models of Asthmaen_US
dc.date.defence2018-08-21
dc.contributor.departmentDepartment of Physics & Atmospheric Scienceen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorDr. Theodore Moncheskyen_US
dc.contributor.thesis-readerDr. Grace Parragaen_US
dc.contributor.thesis-readerDr. Steven Beyeaen_US
dc.contributor.thesis-readerDr. Timothy Bardouilleen_US
dc.contributor.thesis-supervisorDr. Geoffrey Maksymen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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