{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81308"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81308","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Motion -Compensated 3-D Generalized Series Imaging","abstract":"Three-dimensional magnetic resonance (MR) imaging is highly desirable from the standpoints of minimum voxel size, volumetric coverage and signal-to-noise efficiency. Unfortunately, long scan times have traditionally precluded the use of 3-D imaging in applications where simultaneous resolution of both small spatial structures and closely spaced temporal events is important. The research in this thesis is aimed at exploiting the generalized series (GS) framework to improve imaging efficiency for 3-D dynamic MR imaging. Several data acquisition, sampling and modeling techniques for time-resolved volumetric imaging are proposed and analyzed. The research also includes a characterization of the effects of object motion in GS imaging. It is shown that, unlike other constrained dynamic imaging methods, measured data can be retrospectively processed to correct for motion after the experiment. This asset is especially important for 3-D imaging, where scan times may be long even when the GS approach is used to reduce the number of measurements. Based on the assumption of rigid-body displacement, two motion compensation techniques are developed to reduce the sensitivity of the GS method to motion. Finally, computer simulation and experimental results are provided to demonstrate the practical application of the proposed motion-compensated 3-D GS imaging approach. This method should prove useful for a number of applications, including contrast-enhanced MR mammography, dynamic MR angiography, monitoring of interventional procedures and functional brain studies.","abstract_html":"Three-dimensional magnetic resonance (MR) imaging is highly desirable from the standpoints of minimum voxel size, volumetric coverage and signal-to-noise efficiency. Unfortunately, long scan times have traditionally precluded the use of 3-D imaging in applications where simultaneous resolution of both small spatial structures and closely spaced temporal events is important. The research in this thesis is aimed at exploiting the generalized series (GS) framework to improve imaging efficiency for 3-D dynamic MR imaging. Several data acquisition, sampling and modeling techniques for time-resolved volumetric imaging are proposed and analyzed. The research also includes a characterization of the effects of object motion in GS imaging. It is shown that, unlike other constrained dynamic imaging methods, measured data can be retrospectively processed to correct for motion after the experiment. This asset is especially important for 3-D imaging, where scan times may be long even when the GS approach is used to reduce the number of measurements. Based on the assumption of rigid-body displacement, two motion compensation techniques are developed to reduce the sensitivity of the GS method to motion. Finally, computer simulation and experimental results are provided to demonstrate the practical application of the proposed motion-compensated 3-D GS imaging approach. This method should prove useful for a number of applications, including contrast-enhanced MR mammography, dynamic MR angiography, monitoring of interventional procedures and functional brain studies.","abstract_has_math":false,"creators":["Hess, Christopher Paul"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Liang, Zhi-Pei"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:10:29Z","date_published":"2015-09-25T20:10:29Z","updated_at":"2026-07-22T22:26:16Z","subjects":["Health Sciences, Radiology"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI9953044"],"render_values":[{"text":"(MiAaPQ)AAI9953044","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81308","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Liang, Zhi-Pei"]},{"key":"dc:creator","label":"Author","values":["Hess, Christopher Paul"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:10:29Z","10000-01-01","1999"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Health Sciences, Radiology"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/81308","(MiAaPQ)AAI9953044"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Three-dimensional magnetic resonance (MR) imaging is highly desirable from the standpoints of minimum voxel size, volumetric coverage and signal-to-noise efficiency. 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Based on the assumption of rigid-body displacement, two motion compensation techniques are developed to reduce the sensitivity of the GS method to motion. Finally, computer simulation and experimental results are provided to demonstrate the practical application of the proposed motion-compensated 3-D GS imaging approach. This method should prove useful for a number of applications, including contrast-enhanced MR mammography, dynamic MR angiography, monitoring of interventional procedures and functional brain studies.","Made available in DSpace on 2015-09-25T20:10:29Z (GMT). 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