dc.contributor.advisor |
Young, A |
en |
dc.contributor.advisor |
Occleshaw, C |
en |
dc.contributor.advisor |
Pont e, B |
en |
dc.contributor.author |
Gilbert, Kathleen |
en |
dc.date.accessioned |
2016-05-05T02:09:41Z |
en |
dc.date.issued |
2016 |
en |
dc.identifier.citation |
2016 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/28762 |
en |
dc.description.abstract |
Congenital heart disease is the most common birth defect, with an incidence of approximately 75 in every 1000 births. Due to better treatments, people with congenital heart disease are living longer, with the number of adults with the disease now outnumbering the children. Unfortunately for those with congenital heart disease, heart failure is common in later life, and these patients must be monitored in order to time interventions and treatments well. The gold standard for cardiac imaging is magnetic resonance imaging (MRI), owing to its safety and ability to image all parts of the heart. Analysis of MRI is time consuming, and often a manual process. In this thesis, a research prototype is developed into a clinical tool which allows for rapid and accurate analysis of these images. The research prototype was first improved to make it truly interactive, before a left ventricular prolate model was included to predict motion of the heart throughout the cardiac cycle. A new regularisation scheme was added which reduced strain across the entire model. Finally, a pipeline was developed to create priors for the tool. The pipeline was used to create three priors which were specifically chosen as shapes commonly seen in congenital heart disease. The resulting tool can quickly and accurately provide clinical information from MRI images, with relatively little user input. |
en |
dc.publisher |
ResearchSpace@Auckland |
en |
dc.relation.ispartof |
PhD Thesis - University of Auckland |
en |
dc.relation.isreferencedby |
UoA99264848610902091 |
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.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ |
en |
dc.title |
Left and Right Ventricular Function in Congenital Heart Disease |
en |
dc.type |
Thesis |
en |
thesis.degree.discipline |
Medical Imaging |
en |
thesis.degree.grantor |
The University of Auckland |
en |
thesis.degree.level |
Doctoral |
en |
thesis.degree.name |
PhD |
en |
dc.rights.holder |
Copyright: The Author |
en |
pubs.elements-id |
527293 |
en |
pubs.org-id |
Bioengineering Institute |
en |
pubs.record-created-at-source-date |
2016-05-05 |
en |
dc.identifier.wikidata |
Q112200774 |
|