Evaluation of optimal control-based deformable registration model

Simple item page
dc.contributor.advisorBraae, Martinen_ZA
dc.contributor.advisorNicolls, Freden_ZA
dc.contributor.authorMatjelo, Naleli Juberten_ZA
dc.date.accessioned2014-11-14T19:44:12Z
dc.date.available2014-11-14T19:44:12Z
dc.date.issued2014en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractThe 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.en_ZA
dc.identifier.apacitationMatjelo, N. J. (2014). <i>Evaluation of optimal control-based deformable registration model</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/9605en_ZA
dc.identifier.chicagocitationMatjelo, Naleli Jubert. <i>"Evaluation of optimal control-based deformable registration model."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2014. http://hdl.handle.net/11427/9605en_ZA
dc.identifier.citationMatjelo, N. 2014. Evaluation of optimal control-based deformable registration model. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Matjelo, Naleli Jubert AB - 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. DA - 2014 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2014 T1 - Evaluation of optimal control-based deformable registration model TI - Evaluation of optimal control-based deformable registration model UR - http://hdl.handle.net/11427/9605 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9605
dc.identifier.vancouvercitationMatjelo NJ. Evaluation of optimal control-based deformable registration model. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2014 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9605en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.titleEvaluation of optimal control-based deformable registration modelen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_2014_matjelo_n.pdf
Size:
1.69 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Masters