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Evaluation of optimal control-based deformable registration model

Includes bibliographical references.

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Bibliographic Details
Main Author: Matjelo, Naleli Jubert
Other Authors: Braae, Martin
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2014
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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