{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/106505"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/106505","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Microbubble localization using multivariate gaussian fitting for super-resolution ultrasound localization microscopy","abstract":"Super-resolution ultrasound localization microscopy is an advanced microvessel imaging modality. Multiple studies have proved its significant preclinical and clinical application potential. As an important step of the super-resolution ultrasound localization microscopy, current microbubble localization methods need spatially isolated microbubble signal and overlapping microbubble signals are rejected or treated as single isolated microbubbles. Overlapping microbubbles would convey equally important information as isolated microbubbles. As such, conventional ultrasound localization microscopy techniques use reduced microbubble concentration to facilitate isolated microbubble signals. This would require multiple microbubble injections to construct robust super-resolution images and localization error for overlapping microbubbles, which elongates the overall data acquisition time for ultrasound localization microscopy. In this study, the multivariate Gaussian fitting (MGF) method is applied to achieve localization of spatially overlapping microbubble signals. The MGF-based localization technique provides a customizable size and shape for both isolated and overlapping microbubbles. This approach allows the use of high concentration microbubble injections which effectively reduces the data acquisition time and improves the temporal resolution of ultrasound localization microscopy. Simulation studies were designed and demonstrated improved microbubble localization accuracy with the MGF-based localization technique. In vivo chick embryo microvessel studies showed that the proposed method improved the microvessel image quality with more accurate microvessel depiction.","abstract_html":"Super-resolution ultrasound localization microscopy is an advanced microvessel imaging modality. Multiple studies have proved its significant preclinical and clinical application potential. As an important step of the super-resolution ultrasound localization microscopy, current microbubble localization methods need spatially isolated microbubble signal and overlapping microbubble signals are rejected or treated as single isolated microbubbles. Overlapping microbubbles would convey equally important information as isolated microbubbles. As such, conventional ultrasound localization microscopy techniques use reduced microbubble concentration to facilitate isolated microbubble signals. This would require multiple microbubble injections to construct robust super-resolution images and localization error for overlapping microbubbles, which elongates the overall data acquisition time for ultrasound localization microscopy. In this study, the multivariate Gaussian fitting (MGF) method is applied to achieve localization of spatially overlapping microbubble signals. The MGF-based localization technique provides a customizable size and shape for both isolated and overlapping microbubbles. This approach allows the use of high concentration microbubble injections which effectively reduces the data acquisition time and improves the temporal resolution of ultrasound localization microscopy. Simulation studies were designed and demonstrated improved microbubble localization accuracy with the MGF-based localization technique. In vivo chick embryo microvessel studies showed that the proposed method improved the microvessel image quality with more accurate microvessel depiction.","abstract_has_math":false,"creators":["Xia, Shushan"],"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":["Song, Pengfei"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-03-02T22:39:00Z","date_published":"2020-03-02T22:39:00Z","updated_at":"2026-07-22T22:24:47Z","subjects":["super-resolution, ultrasound, microbubble, spatially overlapping microbubble, multivariate Gaussian fitting"],"languages":["en"],"rights":["Copyright 2019 Shushan Xia"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/106505","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Song, Pengfei"]},{"key":"dc:creator","label":"Author","values":["Xia, Shushan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-03-02T22:39:00Z","2022-03-03T10:15:08Z","2019-12-13","2019-12"]},{"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":["super-resolution, ultrasound, microbubble, spatially overlapping microbubble, multivariate Gaussian fitting"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Shushan Xia"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/106505"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Super-resolution ultrasound localization microscopy is an advanced microvessel imaging modality. Multiple studies have proved its significant preclinical and clinical application potential. As an important step of the super-resolution ultrasound localization microscopy, current microbubble localization methods need spatially isolated microbubble signal and overlapping microbubble signals are rejected or treated as single isolated microbubbles. Overlapping microbubbles would convey equally important information as isolated microbubbles. As such, conventional ultrasound localization microscopy techniques use reduced microbubble concentration to facilitate isolated microbubble signals. This would require multiple microbubble injections to construct robust super-resolution images and localization error for overlapping microbubbles, which elongates the overall data acquisition time for ultrasound localization microscopy. In this study, the multivariate Gaussian fitting (MGF) method is applied to achieve localization of spatially overlapping microbubble signals. The MGF-based localization technique provides a customizable size and shape for both isolated and overlapping microbubbles. This approach allows the use of high concentration microbubble injections which effectively reduces the data acquisition time and improves the temporal resolution of ultrasound localization microscopy. Simulation studies were designed and demonstrated improved microbubble localization accuracy with the MGF-based localization technique. In vivo chick embryo microvessel studies showed that the proposed method improved the microvessel image quality with more accurate microvessel depiction.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-12-01","The student, Shushan Xia, accepted the attached license on 2019-12-13 at 15:48.","The student, Shushan Xia, submitted this Thesis for approval on 2019-12-13 at 16:21.","This Thesis was approved for publication on 2019-12-13 at 16:32.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14828 on 2020-02-28 at 17:38:28","Made available in DSpace on 2020-03-02T22:39:00Z (GMT). No. of bitstreams: 2 XIA-THESIS-2019.pdf: 3948296 bytes, checksum: 4a39c14f9faf17d1ba02317a78bf4c2b (MD5) LICENSE.txt: 4208 bytes, checksum: 4b451d8aa53288c00d335aa6bf2371f8 (MD5) Previous issue date: 2019-12-13","Embargo set by: Seth Robbins for item 114049 Lift date: 2022-03-02T22:39:04Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system","Limited Restriction Lifted for Item 114049 on 2022-03-03T10:15:08Z."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Microbubble localization using multivariate gaussian fitting for super-resolution ultrasound localization microscopy"]}]}],"canonical_facts":{"dc:contributor":["Song, Pengfei"],"dc:creator":["Xia, Shushan"],"dc:date":["2020-03-02T22:39:00Z","2022-03-03T10:15:08Z","2019-12-13","2019-12"],"dc:description":["Super-resolution ultrasound localization microscopy is an advanced microvessel imaging modality. Multiple studies have proved its significant preclinical and clinical application potential. As an important step of the super-resolution ultrasound localization microscopy, current microbubble localization methods need spatially isolated microbubble signal and overlapping microbubble signals are rejected or treated as single isolated microbubbles. Overlapping microbubbles would convey equally important information as isolated microbubbles. As such, conventional ultrasound localization microscopy techniques use reduced microbubble concentration to facilitate isolated microbubble signals. This would require multiple microbubble injections to construct robust super-resolution images and localization error for overlapping microbubbles, which elongates the overall data acquisition time for ultrasound localization microscopy. In this study, the multivariate Gaussian fitting (MGF) method is applied to achieve localization of spatially overlapping microbubble signals. The MGF-based localization technique provides a customizable size and shape for both isolated and overlapping microbubbles. This approach allows the use of high concentration microbubble injections which effectively reduces the data acquisition time and improves the temporal resolution of ultrasound localization microscopy. Simulation studies were designed and demonstrated improved microbubble localization accuracy with the MGF-based localization technique. In vivo chick embryo microvessel studies showed that the proposed method improved the microvessel image quality with more accurate microvessel depiction.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-12-01","The student, Shushan Xia, accepted the attached license on 2019-12-13 at 15:48.","The student, Shushan Xia, submitted this Thesis for approval on 2019-12-13 at 16:21.","This Thesis was approved for publication on 2019-12-13 at 16:32.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14828 on 2020-02-28 at 17:38:28","Made available in DSpace on 2020-03-02T22:39:00Z (GMT). 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