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Division of Biomedical Engineering

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Division of Biomedical Engineering
Year dc:date.issued
2006

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Spottiswoode, Bruce Shawn
Advisors dc:contributor.advisor
  • Meintjes, Ernesta
  • Mayosi, Bongani

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/3204
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/3204

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Spottiswoode, Bruce Shawn. Towards automating cine DENSE MRI image analysis : segmentation, tissue tracking and strain computation. Division of Biomedical Engineering, 2006. http://hdl.handle.net/11427/3204