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Investigations into a positron emission imaging algorithm

Includes abstract.

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Bibliographic Details
Main Author: Bickell, Matthew
Other Authors: Buffler, Andy
Format: Thesis
Language:English
Published: Department of Physics 2015
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access_status_str Open Access
author Bickell, Matthew
author2 Buffler, Andy
author_browse Bickell, Matthew
Buffler, Andy
author_facet Buffler, Andy
Bickell, Matthew
author_sort Bickell, Matthew
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/12106
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:24.523Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Physics
publisherStr Department of Physics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/12106 Investigations into a positron emission imaging algorithm Bickell, Matthew Buffler, Andy Govender, Indresan Physics Includes abstract. Includes bibliographical references. 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. 2015-01-11T13:32:48Z 2015-01-11T13:32:48Z 2012 Master Thesis Masters MSc http://hdl.handle.net/11427/12106 eng application/pdf Department of Physics Faculty of Science University of Cape Town
spellingShingle Physics
Bickell, Matthew
Investigations into a positron emission imaging algorithm
thesis_degree_str Master's
title Investigations into a positron emission imaging algorithm
title_full Investigations into a positron emission imaging algorithm
title_fullStr Investigations into a positron emission imaging algorithm
title_full_unstemmed Investigations into a positron emission imaging algorithm
title_short Investigations into a positron emission imaging algorithm
title_sort investigations into a positron emission imaging algorithm
topic Physics
url http://hdl.handle.net/11427/12106
work_keys_str_mv AT bickellmatthew investigationsintoapositronemissionimagingalgorithm