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Model driven segmentation and the detection of bone fractures
Bibliography: leaves 83-90.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2014
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| _version_ | 1867614274747105280 |
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| access_status_str | Open Access |
| author | Marte, Otto-Carl |
| author2 | Marais, Patrick |
| author_browse | Marais, Patrick Marte, Otto-Carl |
| author_facet | Marais, Patrick Marte, Otto-Carl |
| author_sort | Marte, Otto-Carl |
| collection | Thesis |
| description | Bibliography: leaves 83-90. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/6414 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:49:26.779Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Computer Science |
| publisherStr | Department of Computer Science |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/6414 Model driven segmentation and the detection of bone fractures Marte, Otto-Carl Marais, Patrick Computer Science Bibliography: leaves 83-90. The introduction of lower dosage image acquisition devices and the increase in computational power means that there is an increased focus on producing diagnostic aids for the medical trauma environment. The focus of this research is to explore whether geometric criteria can be used to detect bone fractures from Computed Tomography data. Conventional image processing of CT data is aimed at the production of simple iso-surfaces for surgical planning or diagnosis - such methods are not suitable for the automated detection of fractures. Our hypothesis is that through a model-based technique a triangulated surface representing the bone can be speedily and accurately produced. And, that there is sufficient structural information present that by examining the geometric structure of this representation we can accurately detect bone fractures. In this dissertation we describe the algorithms and framework that we built to facilitate the detection of bone fractures and evaluate the validity of our approach. 2014-08-13T19:31:23Z 2014-08-13T19:31:23Z 2004 Master Thesis Masters MSc http://hdl.handle.net/11427/6414 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town |
| spellingShingle | Computer Science Marte, Otto-Carl Model driven segmentation and the detection of bone fractures |
| thesis_degree_str | Master's |
| title | Model driven segmentation and the detection of bone fractures |
| title_full | Model driven segmentation and the detection of bone fractures |
| title_fullStr | Model driven segmentation and the detection of bone fractures |
| title_full_unstemmed | Model driven segmentation and the detection of bone fractures |
| title_short | Model driven segmentation and the detection of bone fractures |
| title_sort | model driven segmentation and the detection of bone fractures |
| topic | Computer Science |
| url | http://hdl.handle.net/11427/6414 |
| work_keys_str_mv | AT marteottocarl modeldrivensegmentationandthedetectionofbonefractures |