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

Includes abstract. === Includes bibliographical references. === 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 Imagi...

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Bibliographic Details
Main Author: Baasch, Roland
Other Authors: Spottiswoode, Bruce Shawn
Format: Dissertation
Language:English
Published: University of Cape Town 2015
Subjects:
Online Access:http://hdl.handle.net/11427/12246
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-122462021-02-24T05:17:37Z FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease Baasch, Roland Spottiswoode, Bruce Shawn Morgan, Barak Eli Biomedical Engineering Includes abstract. Includes bibliographical references. 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. 2015-01-15T18:39:46Z 2015-01-15T18:39:46Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/12246 eng application/pdf University of Cape Town Faculty of Health Sciences Division of Biomedical Engineering
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Biomedical Engineering
spellingShingle Biomedical Engineering
Baasch, Roland
FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease
description Includes abstract. === Includes bibliographical references. === 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.
author2 Spottiswoode, Bruce Shawn
author_facet Spottiswoode, Bruce Shawn
Baasch, Roland
author Baasch, Roland
author_sort Baasch, Roland
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
title_short FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease
title_full FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease
title_fullStr FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease
title_full_unstemmed FMRI guided DTI at the grey-white matter interface : with application to a connectivity analysis of the default mode network in Urbach-Wiethe disease
title_sort fmri guided dti at the grey-white matter interface : with application to a connectivity analysis of the default mode network in urbach-wiethe disease
publisher University of Cape Town
publishDate 2015
url http://hdl.handle.net/11427/12246
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