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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.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Division of Biomedical Engineering
2015
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| _version_ | 1867613584934043648 |
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| access_status_str | Open Access |
| author | Baasch, Roland |
| author2 | Spottiswoode, Bruce Shawn |
| author_browse | Baasch, Roland Spottiswoode, Bruce Shawn |
| author_facet | Spottiswoode, Bruce Shawn Baasch, Roland |
| author_sort | Baasch, Roland |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/12246 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:38:28.923Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| 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:11427/12246 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 Division of Biomedical Engineering Faculty of Health Sciences University of Cape Town |
| 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 |
| thesis_degree_str | Master's |
| 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_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_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_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 |
| topic | Biomedical Engineering |
| url | http://hdl.handle.net/11427/12246 |
| work_keys_str_mv | AT baaschroland fmriguideddtiatthegreywhitematterinterfacewithapplicationtoaconnectivityanalysisofthedefaultmodenetworkinurbachwiethedisease |