{"id":{"repo_id":"wfu","oai_identifier":"oai:wakespace.lib.wfu.edu:10339/38514"},"canonical_url":"https://search.dev.ndltd.org/etd/wfu/oai:wakespace.lib.wfu.edu:10339/38514","repository":{"repo_id":"wfu","name":"Wake Forest University","base_url":"https://wakespace.lib.wfu.edu/oai/request"},"display":{"title":"COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION","abstract":"In this thesis, we propose an improved distance-driven model (IDDM) whose computational cost is as low as the distance-driven model (DDM) and the accuracy is comparable with the area integral model (AIM). The performance of different system models, such as pixel-driven model (PDM), ray-driven model (RDM), AIM, DDM and IDDM, are compared in the content of iterative CT image reconstruction algorithms. One of the key factors that limit the clinical application of an iterative reconstruction algorithm is the high computational cost which mainly depends on the system model. This thesis can serve as the basis for the acceleration study and will have a direct impact on development of fast and accurate iterative CT image reconstruction algorithms.","abstract_html":"In this thesis, we propose an improved distance-driven model (IDDM) whose computational cost is as low as the distance-driven model (DDM) and the accuracy is comparable with the area integral model (AIM). The performance of different system models, such as pixel-driven model (PDM), ray-driven model (RDM), AIM, DDM and IDDM, are compared in the content of iterative CT image reconstruction algorithms. One of the key factors that limit the clinical application of an iterative reconstruction algorithm is the high computational cost which mainly depends on the system model. This thesis can serve as the basis for the acceleration study and will have a direct impact on development of fast and accurate iterative CT image reconstruction algorithms.","abstract_has_math":false,"creators":["Miao, Chuang"],"institution":"Wake Forest University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-27T22:01:33Z","subjects":["Computed Tomography"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10339/38514","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Miao, Chuang"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2013-06-06T21:19:22Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2013-06-06T21:19:22Z"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:publisher","label":"Institution","values":["Wake Forest University"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Computed Tomography"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10339/38514"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In this thesis, we propose an improved distance-driven model (IDDM) whose computational cost is as low as the distance-driven model (DDM) and the accuracy is comparable with the area integral model (AIM). The performance of different system models, such as pixel-driven model (PDM), ray-driven model (RDM), AIM, DDM and IDDM, are compared in the content of iterative CT image reconstruction algorithms. One of the key factors that limit the clinical application of an iterative reconstruction algorithm is the high computational cost which mainly depends on the system model. This thesis can serve as the basis for the acceleration study and will have a direct impact on development of fast and accurate iterative CT image reconstruction algorithms."]},{"key":"dc:title","label":"Title","values":["COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION"]}]}],"canonical_facts":{"dc:creator":["Miao, Chuang"],"dc:date.accessioned":["2013-06-06T21:19:22Z"],"dc:date.available":["2013-06-06T21:19:22Z"],"dc:date.issued":["2013"],"dc:description.abstract":["In this thesis, we propose an improved distance-driven model (IDDM) whose computational cost is as low as the distance-driven model (DDM) and the accuracy is comparable with the area integral model (AIM). The performance of different system models, such as pixel-driven model (PDM), ray-driven model (RDM), AIM, DDM and IDDM, are compared in the content of iterative CT image reconstruction algorithms. One of the key factors that limit the clinical application of an iterative reconstruction algorithm is the high computational cost which mainly depends on the system model. This thesis can serve as the basis for the acceleration study and will have a direct impact on development of fast and accurate iterative CT image reconstruction algorithms."],"dc:identifier.uri":["http://hdl.handle.net/10339/38514"],"dc:language.iso":["en"],"dc:publisher":["Wake Forest University"],"dc:subject":["Computed Tomography"],"dc:title":["COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T22:01:33Z"}