FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease

 

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dc.contributor.advisor Spottiswoode, Bruce Shawn en_ZA
dc.contributor.advisor Morgan, Barak Eli en_ZA
dc.contributor.author Baasch, Roland en_ZA
dc.date.accessioned 2015-01-15T18:39:46Z
dc.date.available 2015-01-15T18:39:46Z
dc.date.issued 2011 en_ZA
dc.identifier.citation Baasch, R. 2011. FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/12246
dc.description Includes abstract. en_ZA
dc.description Includes bibliographical references. en_ZA
dc.description.abstract The cerebral cortex is composed of a thin layer of Grey Matter (GM), functionally subdivided into discrete regions which are connected in a large scale network via White Matter (WM) tracts. With fMRI (Functional Magnetic Resonance Imaging) it is possible to identify cortical regions involved in specific tasks, and with DTI (Diffusion Tensor Imaging) the structural connections between these areas can be mapped. The aim of this thesis is to to identify and track only those WM tracts entering and leaving a GM Region Of Interest (ROI) defined by fMRI. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Biomedical Engineering en_ZA
dc.title FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease en_ZA
dc.type Thesis / Dissertation en_ZA
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Health Sciences en_ZA
dc.publisher.department Division of Biomedical Engineering en_ZA
dc.type.qualificationlevel Masters en_ZA
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image


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