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Includes bibliographical references.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2014
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| _version_ | 1867614118760939520 |
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| access_status_str | Open Access |
| author | Matjelo, Naleli Jubert |
| author2 | Braae, Martin |
| author_browse | Braae, Martin Matjelo, Naleli Jubert |
| author_facet | Braae, Martin Matjelo, Naleli Jubert |
| author_sort | Matjelo, Naleli Jubert |
| collection | Thesis |
| description | Includes bibliographical references. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/9605 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:46:58.020Z |
| 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 Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/9605 Evaluation of optimal control-based deformable registration model Matjelo, Naleli Jubert Braae, Martin Nicolls, Fred Includes bibliographical references. The deformable image registration is central to many challenges in medical imaging applications. The basic idea of the deformable image registration problem is to find an approximation of a reasonable deformation which transforms one image to match another based on a chosen similarity measure. A reasonable deformation can be thought of as one that is physically realizable. A number of models, guaranteeing reasonable deformations, have been proposed and implemented with success under various similarity measures. One such model is based on the grid deformation method (GDM) and is the method of interest in this thesis. This work focuses on the evaluation of an optimal control-based model for solving the deformable image registration problem which is formulated using GDM. This model is compared with other four well-known variational-based deformable image registration models: elastic, fluid, diffusion and curvature models. Using similarity and deformation quality measures as performance indices, the non-dominated sorting genetic algorithm (NSGA-II) is applied to approximate the Pareto fronts for each model to facilitate proper evaluation. The Pareto fronts are also visualized using level diagrams analysis. 2014-11-14T19:44:12Z 2014-11-14T19:44:12Z 2014 Master Thesis Masters MSc http://hdl.handle.net/11427/9605 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Matjelo, Naleli Jubert Evaluation of optimal control-based deformable registration model |
| thesis_degree_str | Master's |
| title | Evaluation of optimal control-based deformable registration model |
| title_full | Evaluation of optimal control-based deformable registration model |
| title_fullStr | Evaluation of optimal control-based deformable registration model |
| title_full_unstemmed | Evaluation of optimal control-based deformable registration model |
| title_short | Evaluation of optimal control-based deformable registration model |
| title_sort | evaluation of optimal control based deformable registration model |
| url | http://hdl.handle.net/11427/9605 |
| work_keys_str_mv | AT matjelonalelijubert evaluationofoptimalcontrolbaseddeformableregistrationmodel |