A control system approach to subject specific prospective respiratory motion correction in cardiac MRI
Includes bibliographical references. === Respiratory motion of the heart is a problem for high-resolution cardiac MRI. Diaphragmatic navigator gating with a 5mm acceptance window is most commonly used to address this but has an inherently low respiratory efficiency that is further compromised by res...
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University of Cape Town
2014
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Online Access: | http://hdl.handle.net/11427/10220 |
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ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-102202020-07-22T05:07:41Z A control system approach to subject specific prospective respiratory motion correction in cardiac MRI Burger, Ian H Meintjes, Ernesta Human Biology Includes bibliographical references. Respiratory motion of the heart is a problem for high-resolution cardiac MRI. Diaphragmatic navigator gating with a 5mm acceptance window is most commonly used to address this but has an inherently low respiratory efficiency that is further compromised by respiratory drift. A novel method is presented that uses data from multiple navigators prior to the imaging segment as input for a control system to predict the diaphragm position throughout the imaging segment and correct the slice position in real time. 2014-12-27T14:08:04Z 2014-12-27T14:08:04Z 2012 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/10220 eng application/pdf University of Cape Town Faculty of Health Sciences Department of Human Biology |
collection |
NDLTD |
language |
English |
format |
Doctoral Thesis |
sources |
NDLTD |
topic |
Human Biology |
spellingShingle |
Human Biology Burger, Ian H A control system approach to subject specific prospective respiratory motion correction in cardiac MRI |
description |
Includes bibliographical references. === Respiratory motion of the heart is a problem for high-resolution cardiac MRI. Diaphragmatic navigator gating with a 5mm acceptance window is most commonly used to address this but has an inherently low respiratory efficiency that is further compromised by respiratory drift. A novel method is presented that uses data from multiple navigators prior to the imaging segment as input for a control system to predict the diaphragm position throughout the imaging segment and correct the slice position in real time. |
author2 |
Meintjes, Ernesta |
author_facet |
Meintjes, Ernesta Burger, Ian H |
author |
Burger, Ian H |
author_sort |
Burger, Ian H |
title |
A control system approach to subject specific prospective respiratory motion correction in cardiac MRI |
title_short |
A control system approach to subject specific prospective respiratory motion correction in cardiac MRI |
title_full |
A control system approach to subject specific prospective respiratory motion correction in cardiac MRI |
title_fullStr |
A control system approach to subject specific prospective respiratory motion correction in cardiac MRI |
title_full_unstemmed |
A control system approach to subject specific prospective respiratory motion correction in cardiac MRI |
title_sort |
control system approach to subject specific prospective respiratory motion correction in cardiac mri |
publisher |
University of Cape Town |
publishDate |
2014 |
url |
http://hdl.handle.net/11427/10220 |
work_keys_str_mv |
AT burgerianh acontrolsystemapproachtosubjectspecificprospectiverespiratorymotioncorrectionincardiacmri AT burgerianh controlsystemapproachtosubjectspecificprospectiverespiratorymotioncorrectionincardiacmri |
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1719330435417243648 |