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Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation

Includes bibliographical references (p. 192-206).

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Bibliographic Details
Main Author: Spottiswoode, Bruce Shawn
Other Authors: Meintjes, Ernesta
Format: Thesis
Language:English
Published: Division of Biomedical Engineering 2014
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access_status_str Open Access
author Spottiswoode, Bruce Shawn
author2 Meintjes, Ernesta
author_browse Meintjes, Ernesta
Spottiswoode, Bruce Shawn
author_facet Meintjes, Ernesta
Spottiswoode, Bruce Shawn
author_sort Spottiswoode, Bruce Shawn
collection Thesis
description Includes bibliographical references (p. 192-206).
format Thesis
id oai:open.uct.ac.za:11427/3204
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:09.918Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Division of Biomedical Engineering
publisherStr Division of Biomedical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/3204 Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation Spottiswoode, Bruce Shawn Meintjes, Ernesta Mayosi, Bongani Biomedical Engineering Includes bibliographical references (p. 192-206). Over the past two decades, magnetic resonance imaging (MRI) has developed into a powerful imaging tool for the heart. Imaging cardiac morphology is now commonplace in clinical practice, and a plethora of quantitative techniques have also arisen on the research front. Myocardial tagging is an established quantitative cardiac MRI method that involves magnetically tagging the heart with a set of saturated bands, and monitoring the deformation of these bands as the heart contracts. 2014-07-28T18:15:29Z 2014-07-28T18:15:29Z 2006 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/3204 eng application/pdf Division of Biomedical Engineering Faculty of Health Sciences University of Cape Town
spellingShingle Biomedical Engineering
Spottiswoode, Bruce Shawn
Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
thesis_degree_str Doctoral
title Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
title_full Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
title_fullStr Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
title_full_unstemmed Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
title_short Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation
title_sort towards automating cine dense mri image analysis segmentation tissue tracking and strain computation
topic Biomedical Engineering
url http://hdl.handle.net/11427/3204
work_keys_str_mv AT spottiswoodebruceshawn towardsautomatingcinedensemriimageanalysissegmentationtissuetrackingandstraincomputation