Investigations into a positron emission imaging algorithm

 

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dc.contributor.advisor Buffler, Andy en_ZA
dc.contributor.advisor Govender, Indresan en_ZA
dc.contributor.author Bickell, Matthew en_ZA
dc.date.accessioned 2015-01-11T13:32:48Z
dc.date.available 2015-01-11T13:32:48Z
dc.date.issued 2012 en_ZA
dc.identifier.citation Bickell, M. 2012. Investigations into a positron emission imaging algorithm. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/12106
dc.description Includes abstract. en_ZA
dc.description Includes bibliographical references. en_ZA
dc.description.abstract A positron emission imaging algorithm which makes use of the entire set of lines-of-response in list-mode form is presented. The algorithm parameterises the lines-of-response by a Cartesian mesh over the field-of-view of a Positron Emission Tomography (PET) scanner to find their density distribution throughout the mesh. The algorithm is applied to PET image reconstruction and Positron Emission Particle Tracking (PEPT). For the PET image reconstruction, a redistribution of the lines-of-response is employed to remove the discrete nature of the data caused by the finite size of the detector cells, and once the density distribution has been determined, it is filtered and corrected for attenuation. The algorithm is applied to static and dynamic systems of hard phantoms, biological specimens and fluid flow through a column. In the dynamic systems, timesteps as low as 1 second are achieved. The results from the algorithm are compared to the standard Radon transform reconstruction algorithm, and the presented algorithm is observed to produce images with superior edge contrast, smoothness and representation of the physical system. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Physics en_ZA
dc.title Investigations into a positron emission imaging algorithm en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Physics en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation Bickell, M. (2012). <i>Investigations into a positron emission imaging algorithm</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Physics. Retrieved from http://hdl.handle.net/11427/12106 en_ZA
dc.identifier.chicagocitation Bickell, Matthew. <i>"Investigations into a positron emission imaging algorithm."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Physics, 2012. http://hdl.handle.net/11427/12106 en_ZA
dc.identifier.vancouvercitation Bickell M. Investigations into a positron emission imaging algorithm. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Physics, 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/12106 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Bickell, Matthew AB - A positron emission imaging algorithm which makes use of the entire set of lines-of-response in list-mode form is presented. The algorithm parameterises the lines-of-response by a Cartesian mesh over the field-of-view of a Positron Emission Tomography (PET) scanner to find their density distribution throughout the mesh. The algorithm is applied to PET image reconstruction and Positron Emission Particle Tracking (PEPT). For the PET image reconstruction, a redistribution of the lines-of-response is employed to remove the discrete nature of the data caused by the finite size of the detector cells, and once the density distribution has been determined, it is filtered and corrected for attenuation. The algorithm is applied to static and dynamic systems of hard phantoms, biological specimens and fluid flow through a column. In the dynamic systems, timesteps as low as 1 second are achieved. The results from the algorithm are compared to the standard Radon transform reconstruction algorithm, and the presented algorithm is observed to produce images with superior edge contrast, smoothness and representation of the physical system. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Investigations into a positron emission imaging algorithm TI - Investigations into a positron emission imaging algorithm UR - http://hdl.handle.net/11427/12106 ER - en_ZA


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