{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/16225"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/16225","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Vibrational characteristics of brain magnetic resonance elastography","abstract":"This thesis aims to investigate vibrational characteristics of magnetic resonance elastography (MRE) of the brain. MRE is a promising, non-invasive methodology for the mapping of shear stiffness of the brain. A mechanical actuator shakes the brain and generates shear waves, which are then imaged with a special MRI sequence sensitive to sub-millimeter displacements. This research focuses on exploring the profile of vibrations utilized in brain elastography from the standpoint of ultimately investigating nonlinear behavior of the tissue. The first objective seeks to demonstrate the effects of encoding off-frequency vibrations using standard MRE methodologies. Vibrations of this nature can arise from nonlinearities in the system and contaminate the results of the measurement. The second objective is to probe nonlinearity in the dynamic brain system using MRE. A non-parametric decomposition technique, novel to the MRE field, is introduced and investigated.","abstract_html":"This thesis aims to investigate vibrational characteristics of magnetic resonance elastography (MRE) of the brain. MRE is a promising, non-invasive methodology for the mapping of shear stiffness of the brain. A mechanical actuator shakes the brain and generates shear waves, which are then imaged with a special MRI sequence sensitive to sub-millimeter displacements. This research focuses on exploring the profile of vibrations utilized in brain elastography from the standpoint of ultimately investigating nonlinear behavior of the tissue. The first objective seeks to demonstrate the effects of encoding off-frequency vibrations using standard MRE methodologies. Vibrations of this nature can arise from nonlinearities in the system and contaminate the results of the measurement. The second objective is to probe nonlinearity in the dynamic brain system using MRE. A non-parametric decomposition technique, novel to the MRE field, is introduced and investigated.","abstract_has_math":false,"creators":["Johnson, Curtis L."],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Georgiadis, John G."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2010,"date_issued":"2010-05-19T18:41:09Z","date_published":"2010-05-19T18:41:09Z","updated_at":"2026-07-22T22:25:08Z","subjects":["Magnetic resonance imaging","Magnetic resonance elastography","Tissue stiffness","Brain"],"languages":["en"],"rights":["Copyright 2010 Curtis L. Johnson"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/16225","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Georgiadis, John G."]},{"key":"dc:creator","label":"Author","values":["Johnson, Curtis L."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2010-05-19T18:41:09Z","2010-5"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Magnetic resonance imaging","Magnetic resonance elastography","Tissue stiffness","Brain"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2010 Curtis L. Johnson"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/16225"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis aims to investigate vibrational characteristics of magnetic resonance elastography (MRE) of the brain. MRE is a promising, non-invasive methodology for the mapping of shear stiffness of the brain. A mechanical actuator shakes the brain and generates shear waves, which are then imaged with a special MRI sequence sensitive to sub-millimeter displacements. This research focuses on exploring the profile of vibrations utilized in brain elastography from the standpoint of ultimately investigating nonlinear behavior of the tissue. The first objective seeks to demonstrate the effects of encoding off-frequency vibrations using standard MRE methodologies. Vibrations of this nature can arise from nonlinearities in the system and contaminate the results of the measurement. The second objective is to probe nonlinearity in the dynamic brain system using MRE. A non-parametric decomposition technique, novel to the MRE field, is introduced and investigated.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-29T14:07:12Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Johnson_Curtis.pdf: 1692448 bytes, checksum: 5095215c8e9412caaf7bf9f597b61287 (MD5)","Made available in DSpace on 2010-05-19T18:41:09Z (GMT). No. of bitstreams: 2 Johnson_Curtis.pdf: 1692448 bytes, checksum: 5095215c8e9412caaf7bf9f597b61287 (MD5) license.txt: 4064 bytes, checksum: 4c48faf59a459d77380005e9de0d3b3e (MD5)"]},{"key":"dc:title","label":"Title","values":["Vibrational characteristics of brain magnetic resonance elastography"]}]}],"canonical_facts":{"dc:contributor":["Georgiadis, John G."],"dc:creator":["Johnson, Curtis L."],"dc:date":["2010-05-19T18:41:09Z","2010-5"],"dc:description":["This thesis aims to investigate vibrational characteristics of magnetic resonance elastography (MRE) of the brain. MRE is a promising, non-invasive methodology for the mapping of shear stiffness of the brain. A mechanical actuator shakes the brain and generates shear waves, which are then imaged with a special MRI sequence sensitive to sub-millimeter displacements. This research focuses on exploring the profile of vibrations utilized in brain elastography from the standpoint of ultimately investigating nonlinear behavior of the tissue. The first objective seeks to demonstrate the effects of encoding off-frequency vibrations using standard MRE methodologies. Vibrations of this nature can arise from nonlinearities in the system and contaminate the results of the measurement. The second objective is to probe nonlinearity in the dynamic brain system using MRE. A non-parametric decomposition technique, novel to the MRE field, is introduced and investigated.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-04-29T14:07:12Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Johnson_Curtis.pdf: 1692448 bytes, checksum: 5095215c8e9412caaf7bf9f597b61287 (MD5)","Made available in DSpace on 2010-05-19T18:41:09Z (GMT). No. of bitstreams: 2 Johnson_Curtis.pdf: 1692448 bytes, checksum: 5095215c8e9412caaf7bf9f597b61287 (MD5) license.txt: 4064 bytes, checksum: 4c48faf59a459d77380005e9de0d3b3e (MD5)"],"dc:identifier":["http://hdl.handle.net/2142/16225"],"dc:language":["en"],"dc:rights":["Copyright 2010 Curtis L. Johnson"],"dc:subject":["Magnetic resonance imaging","Magnetic resonance elastography","Tissue stiffness","Brain"],"dc:title":["Vibrational characteristics of brain magnetic resonance elastography"],"thesis:degree_discipline":["Mechanical Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:08Z"}