{"id":"https://openalex.org/W2306943469","doi":"https://doi.org/10.1117/12.2217342","title":"Accurate quantification of local changes for carotid arteries in 3D ultrasound images using convex optimization-based deformable registration","display_name":"Accurate quantification of local changes for carotid arteries in 3D ultrasound images using convex optimization-based deformable registration","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2306943469","doi":"https://doi.org/10.1117/12.2217342","mag":"2306943469"},"language":"en","primary_location":{"id":"doi:10.1117/12.2217342","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217342","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086362263","display_name":"Jieyu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jieyu Cheng","raw_affiliation_strings":["City Univ. of Hong Kong (Hong Kong, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City Univ. of Hong Kong (Hong Kong, China)","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030075105","display_name":"Wu Qiu","orcid":"https://orcid.org/0000-0001-7827-8270"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wu Qiu","raw_affiliation_strings":["Robarts Research Institute (Canada)","Univ. of Calgary (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"Univ. of Calgary (Canada)","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023905379","display_name":"Jing Yuan","orcid":"https://orcid.org/0000-0001-8112-3608"},"institutions":[{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jing Yuan","raw_affiliation_strings":["Robarts Research Institute (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004966232","display_name":"Aaron Fenster","orcid":"https://orcid.org/0000-0003-3525-2788"},"institutions":[{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aaron Fenster","raw_affiliation_strings":["Robarts Research Institute (Canada)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robarts Research Institute (Canada)","institution_ids":["https://openalex.org/I4210105758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051126889","display_name":"Bernard Chiu","orcid":"https://orcid.org/0000-0001-5237-2410"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Bernard Chiu","raw_affiliation_strings":["City Univ. of Hong Kong (Hong Kong, China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City Univ. of Hong Kong (Hong Kong, China)","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9784","issue":null,"first_page":"978448","last_page":"978448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/carotid-arteries","display_name":"Carotid arteries","score":0.6316322088241577},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.6039238572120667},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5910134315490723},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5327745676040649},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5061714053153992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4566475749015808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4441315233707428},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.31389403343200684},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3093985319137573},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.11199697852134705},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08816570043563843}],"concepts":[{"id":"https://openalex.org/C2987047532","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Carotid arteries","level":2,"score":0.6316322088241577},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.6039238572120667},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5910134315490723},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5327745676040649},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5061714053153992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4566475749015808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4441315233707428},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.31389403343200684},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3093985319137573},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.11199697852134705},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08816570043563843}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2217342","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217342","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W95913851","https://openalex.org/W1502687757","https://openalex.org/W1608702241","https://openalex.org/W1967113019","https://openalex.org/W2021502550","https://openalex.org/W2024419680","https://openalex.org/W2027721693","https://openalex.org/W2054900307","https://openalex.org/W2059272595","https://openalex.org/W2069586357","https://openalex.org/W2117438985","https://openalex.org/W2128019145","https://openalex.org/W2134012543","https://openalex.org/W2149847034","https://openalex.org/W4293084779","https://openalex.org/W6629956776","https://openalex.org/W6636452623"],"related_works":["https://openalex.org/W2392518627","https://openalex.org/W1972056390","https://openalex.org/W2992379896","https://openalex.org/W2147796458","https://openalex.org/W2010072608","https://openalex.org/W2052744733","https://openalex.org/W1555204328","https://openalex.org/W2380428609","https://openalex.org/W2353283636","https://openalex.org/W2003113500"],"abstract_inverted_index":{"Registration":[0],"of":[1,17,48,82,98,152,181],"longitudinally":[2],"acquired":[3,37],"3D":[4,31],"ultrasound":[5],"(US)":[6],"images":[7,36,110],"plays":[8],"an":[9,22],"important":[10],"role":[11],"in":[12],"monitoring":[13],"and":[14,66,71,79,93,102,136,144,154,160,171],"quantifying":[15],"progression/regression":[16],"carotid":[18,32],"atherosclerosis.":[19],"We":[20],"introduce":[21],"image-based":[23],"non-rigid":[24],"registration":[25,84,179],"algorithm":[26,44,85,131],"to":[27,63,142,169],"align":[28],"the":[29,46,80,83,99,122,129,165],"baseline":[30],"US":[33],"with":[34],"longitudinal":[35],"over":[38],"several":[39],"follow-up":[40],"time":[41,180],"points.":[42],"This":[43],"minimizes":[45],"sum":[47],"absolute":[49,95],"intensity":[50],"differences":[51],"(SAD)":[52],"under":[53],"a":[54,59],"variational":[55],"optical-flow":[56],"perspective":[57],"within":[58],"multi-scale":[60],"optimization":[61],"framework":[62],"capture":[64],"local":[65],"global":[67],"deformations.":[68],"Outer":[69],"wall":[70,101,162],"lumen":[72,103,135,159],"were":[73,114,156],"segmented":[74],"manually":[75],"on":[76],"each":[77],"image,":[78],"performance":[81],"was":[86,132,187],"quantified":[87],"by":[88,117,121,128,147,164,174],"Dice":[89],"similarity":[90],"coefficient":[91],"(DSC)":[92],"mean":[94,178],"distance":[96],"(MAD)":[97],"outer":[100,139,161],"surfaces":[104],"after":[105],"registration.":[106,149,176],"In":[107],"this":[108],"study,":[109],"for":[111,134,138,158],"5":[112],"subjects":[113],"registered":[115],"initially":[116],"rigid":[118,148,175],"registration,":[119],"followed":[120],"proposed":[123,130,166],"algorithm.":[124],"Mean":[125,150],"DSC":[126],"generated":[127,146,157,173],"79:3&plusmn;3:8%":[133],"85:9&plusmn;4:0%":[137],"wall,":[140],"compared":[141,168],"73:9&plusmn;3:4%":[143],"84:7&plusmn;3:2%":[145],"MAD":[151],"0:46&plusmn;0:08mm":[153],"0:52&plusmn;0:13mm":[155],"respectively":[163],"algorithm,":[167],"0:55&plusmn;0:08mm":[170],"0:54&plusmn;0:11mm":[172],"The":[177],"our":[182],"method":[183],"per":[184],"image":[185],"pair":[186],"143&plusmn;23s.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
