Understanding and measuring flow in aortic stenosis with MRI

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dc.contributor.advisor Associate Professor Alistair Young en
dc.contributor.author O'Brien, Kieran Robert en
dc.date.accessioned 2009-07-23T00:40:39Z en
dc.date.available 2009-07-23T00:40:39Z en
dc.date.issued 2009 en
dc.identifier.citation Thesis (PhD--Bioengineering)--University of Auckland, 2009. en
dc.identifier.uri http://hdl.handle.net/2292/4488 en
dc.description.abstract In patients with aortic stenosis, accurate assessment of severity with echocardiography is central to surgical decision making. But, when image quality is poor or equivocal results obtained, another robust non-invasive technique would be invaluable. Cardiac magnetic resonance (CMR) may be a useful alternative. Phase contrast CMR can measure ow and velocity, therefore it is theoretically possible to estimate the main determinant of severity aortic valve area, using the continuity approach. However, it was found that the phase contrast estimate of stroke volume, sampled in the stenotic jet, systematically underestimated left ventricular stroke volume. This underestimation was greater with increasing aortic stenosis severity. Critical clinical treatment decisions depend on the ability to reliably differentiate between patients with moderate and severe aortic stenosis. To achieve accurate estimation of aortic valve areas the velocity and ow data obtained in these turbulent, high velocity jets must be accurate. In this thesis, non-stenotic and stenotic phantoms were designed and constructed to experimentally interrogate the error. It was determined that signal loss, due to intravoxel dephasing, decreased the reliability of the measured forward ow jet velocities. Extreme signal loss in the jet eventuated in salt and pepper noise, which, with a mean velocity of zero, resulted in the underestimation. Intravoxel dephasing signal loss due to higher order motions, turbulence and spin mixing could all be mitigated by reducing the duration of the velocity sensitivity gradients and shortening the overall echo time (TE). However, improvements in an optimised PC sequence (TE 1:5ms) were not satisfactory. Flow estimates remained variable and were underestimated beyond the aortic valve. To reduce the TE further, a new phase contrast pulse sequence based on an ultrashort TE readout trajectory and velocity dependent slice excitation with gradient inversion was designed and implemented. The new sequence's TE is approximately 25% (0:65ms) of what is currently clinically available (TE 2:8ms). Good agreement in the phantom was maintained up to very high ow rates with improved signal characteristics shown in-vivo. This new phase contrast pulse sequence is worthy of further investigation as an accurate evaluation of patients with aortic stenosis. en
dc.description.sponsorship This work in this thesis was conducted at The Auckland Bioengineering Institute, The Centre for Advanced MRI and The Oxford Centre for Clinical Magnetic Resonance in collaboration with Siemens Health care. en
dc.language.iso en en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof PhD Thesis - University of Auckland en
dc.relation.isreferencedby UoA1907755 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. 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.subject Magnetic Resonace Imaging en
dc.subject Aortic stenosis en
dc.subject Phase contrast en
dc.subject turbulent jets en
dc.subject velocity en
dc.subject flow en
dc.title Understanding and measuring flow in aortic stenosis with MRI en
dc.type Thesis en
thesis.degree.discipline Bioengineering en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Doctoral en
thesis.degree.name PhD en
dc.subject.marsden Fields of Research::290000 Engineering and Technology::291500 Biomedical Engineering en
dc.subject.marsden Fields of Research::320000 Medical and Health Sciences en
dc.rights.holder Copyright: The author en
pubs.local.anzsrc 0903 - Biomedical Engineering en
pubs.org-id Faculty of Engineering en
dc.identifier.wikidata Q112881877


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