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...
Main Author: | |
---|---|
Other Authors: | |
Format: | Dissertation |
Language: | English |
Published: |
University of Cape Town
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/11427/12246 |
id |
ndltd-netd.ac.za-oai-union.ndltd.org-uct-oai-localhost-11427-12246 |
---|---|
record_format |
oai_dc |
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 |
work_keys_str_mv |
AT baaschroland fmriguideddtiatthegreywhitematterinterfacewithapplicationtoaconnectivityanalysisofthedefaultmodenetworkinurbachwiethedisease |
_version_ |
1719378251310170112 |