{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/102916"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/102916","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Simultaneous fMRI and metabolic imaging of the brain using spice","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01","abstract_has_math":false,"creators":["Guo, Rong"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Liang, Zhi-Pei"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-02-08T18:39:47Z","date_published":"2019-02-08T18:39:47Z","updated_at":"2026-07-22T22:24:42Z","subjects":["fMRI, metabolic imaging","SPICE","sparse sampling","subspace modeling","partial separability"],"languages":["en"],"rights":["Copyright 2018 Rong Guo"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/102916","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":["Guo, Rong"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-02-08T18:39:47Z","2021-02-09T10:15:45Z","2018-11-20","2018-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"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":["fMRI, metabolic imaging","SPICE","sparse sampling","subspace modeling","partial separability"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2018 Rong Guo"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/102916"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01","In this thesis, we propose a novel approach to achieve simultaneous acquisition of high resolution MRSI and fMRI in a fast scan. The proposed acquisition scheme adds an EVI-based sequence module into a subspace-based imaging technique called SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation). With the features of ultrashort TE/short TR, no water and lipid suppression, extended k-space coverage by prolonged EPSI readout and highly sparse sampling, the data acquisition captures both the spatiospectral information of brain metabolites and the dynamic information of brain functional activation. The data processing and reconstruction are based on the subspace modeling and involve pre-trained basis functions and spatial prior information. Moreover, the complementary information between fMRI and MRSI is utilized to further improve the quality of both fMRI and metabolic imaging. The in vivo experimental results demonstrate that the proposed method can achieve whole brain covered, simultaneous fMRI at spatial resolution of 3.0 × 3.0 × 1.8 mm, temporal resolution 3 seconds, along with metabolic imaging at nominal spatial resolution of 1.9 × 2.3 × 3.0 mm in a single 6-minute scan. The high-quality metabolic maps, spatially resolved spectra, resting-state functional networks and task time courses corresponding to the task events can all be obtained in the in vivo scans. This technique, when fully developed, will become a powerful tool to study the brain metabolism and function activities.","The student, Rong Guo, accepted the attached license on 2018-11-20 at 10:32.","The student, Rong Guo, submitted this Thesis for approval on 2018-11-20 at 10:39.","This Thesis was approved for publication on 2018-11-20 at 14:11.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13106 on 2019-02-08 at 11:39:09","Made available in DSpace on 2019-02-08T18:39:47Z (GMT). No. of bitstreams: 2 GUO-THESIS-2018.pdf: 1551719 bytes, checksum: 0845ca6c9214b79ee4c1f10700d66c9c (MD5) LICENSE.txt: 4205 bytes, checksum: b41506e9129433de0e6b2789ebd9804b (MD5) Previous issue date: 2018-11-20","Embargo set by: Seth Robbins for item 109942 Lift date: 2021-02-08T18:40:00Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 109942 Lift date: 2021-02-08T18:42:23Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 109942 Lift date: 2021-02-08T18:43:54Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Embargo set by: Seth Robbins for item 109942 Lift date: 2021-02-08T18:44:50Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 109942 on 2021-02-09T10:15:45Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Simultaneous fMRI and metabolic imaging of the brain using spice"]}]}],"canonical_facts":{"dc:contributor":["Liang, Zhi-Pei"],"dc:creator":["Guo, Rong"],"dc:date":["2019-02-08T18:39:47Z","2021-02-09T10:15:45Z","2018-11-20","2018-12"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01","In this thesis, we propose a novel approach to achieve simultaneous acquisition of high resolution MRSI and fMRI in a fast scan. The proposed acquisition scheme adds an EVI-based sequence module into a subspace-based imaging technique called SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation). With the features of ultrashort TE/short TR, no water and lipid suppression, extended k-space coverage by prolonged EPSI readout and highly sparse sampling, the data acquisition captures both the spatiospectral information of brain metabolites and the dynamic information of brain functional activation. The data processing and reconstruction are based on the subspace modeling and involve pre-trained basis functions and spatial prior information. Moreover, the complementary information between fMRI and MRSI is utilized to further improve the quality of both fMRI and metabolic imaging. The in vivo experimental results demonstrate that the proposed method can achieve whole brain covered, simultaneous fMRI at spatial resolution of 3.0 × 3.0 × 1.8 mm, temporal resolution 3 seconds, along with metabolic imaging at nominal spatial resolution of 1.9 × 2.3 × 3.0 mm in a single 6-minute scan. The high-quality metabolic maps, spatially resolved spectra, resting-state functional networks and task time courses corresponding to the task events can all be obtained in the in vivo scans. This technique, when fully developed, will become a powerful tool to study the brain metabolism and function activities.","The student, Rong Guo, accepted the attached license on 2018-11-20 at 10:32.","The student, Rong Guo, submitted this Thesis for approval on 2018-11-20 at 10:39.","This Thesis was approved for publication on 2018-11-20 at 14:11.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13106 on 2019-02-08 at 11:39:09","Made available in DSpace on 2019-02-08T18:39:47Z (GMT). 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