{"id":"https://openalex.org/W4389542355","doi":"https://doi.org/10.1109/embc40787.2023.10340577","title":"A Space-Refine Paradigm for Automatic Carotid Artery Centerline Extraction in Magnetic Resonance Imaging*","display_name":"A Space-Refine Paradigm for Automatic Carotid Artery Centerline Extraction in Magnetic Resonance Imaging*","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389542355","doi":"https://doi.org/10.1109/embc40787.2023.10340577","pmid":"https://pubmed.ncbi.nlm.nih.gov/38083165"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340577","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100425978","display_name":"Pu Zhang","orcid":"https://orcid.org/0000-0001-6349-013X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pu Zhang","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031227866","display_name":"Jingmin Xin","orcid":"https://orcid.org/0000-0003-1906-2327"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingmin Xin","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046948834","display_name":"Jiayi Wu","orcid":"https://orcid.org/0000-0001-5371-8989"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Wu","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049"],"affiliations":[{"raw_affiliation_string":"Xi’an Jiaotong University,Institute of Artificial Intelligence and Robotics,Xi’an,China,710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100425978"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44012776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9922000169754028,"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":0.9897000193595886,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.712893009185791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6692692041397095},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6485474109649658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6154224276542664},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4916761517524719},{"id":"https://openalex.org/keywords/common-carotid-artery","display_name":"Common carotid artery","score":0.48877283930778503},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4824298322200775},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4819183647632599},{"id":"https://openalex.org/keywords/stenosis","display_name":"Stenosis","score":0.44413459300994873},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43493422865867615},{"id":"https://openalex.org/keywords/lumen","display_name":"Lumen (anatomy)","score":0.4310239553451538},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40969932079315186},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.31521517038345337},{"id":"https://openalex.org/keywords/carotid-arteries","display_name":"Carotid arteries","score":0.3124952018260956},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18466338515281677},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08016407489776611}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.712893009185791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6692692041397095},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6485474109649658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6154224276542664},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4916761517524719},{"id":"https://openalex.org/C2781064879","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Common carotid artery","level":3,"score":0.48877283930778503},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4824298322200775},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4819183647632599},{"id":"https://openalex.org/C2780007028","wikidata":"https://www.wikidata.org/wiki/Q2343082","display_name":"Stenosis","level":2,"score":0.44413459300994873},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43493422865867615},{"id":"https://openalex.org/C131631996","wikidata":"https://www.wikidata.org/wiki/Q1141325","display_name":"Lumen (anatomy)","level":2,"score":0.4310239553451538},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40969932079315186},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.31521517038345337},{"id":"https://openalex.org/C2987047532","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Carotid arteries","level":2,"score":0.3124952018260956},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18466338515281677},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08016407489776611},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D002339","descriptor_name":"Carotid Arteries","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017536","descriptor_name":"Carotid Artery, Common","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017536","descriptor_name":"Carotid Artery, Common","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017536","descriptor_name":"Carotid Artery, Common","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017536","descriptor_name":"Carotid Artery, Common","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017536","descriptor_name":"Carotid Artery, Common","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D058226","descriptor_name":"Plaque, Atherosclerotic","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340577","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/embc40787.2023.10340577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38083165","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38083165","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W96599117","https://openalex.org/W639708223","https://openalex.org/W2168920555","https://openalex.org/W2194775991","https://openalex.org/W2279717914","https://openalex.org/W2292574432","https://openalex.org/W2565639579","https://openalex.org/W2568368793","https://openalex.org/W2593665296","https://openalex.org/W2920942303","https://openalex.org/W2964241181","https://openalex.org/W2981393651","https://openalex.org/W3109359544","https://openalex.org/W3127407589","https://openalex.org/W3146761106","https://openalex.org/W3156231005","https://openalex.org/W4205437589","https://openalex.org/W4206501011","https://openalex.org/W4293584584","https://openalex.org/W4295917092","https://openalex.org/W6620707391","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W67350409","https://openalex.org/W2137200389","https://openalex.org/W4244414038","https://openalex.org/W2557203018","https://openalex.org/W2355487713","https://openalex.org/W2156044147","https://openalex.org/W2017415233","https://openalex.org/W2901670236","https://openalex.org/W2364945178","https://openalex.org/W2465150189"],"abstract_inverted_index":{"Vessel":[0],"centerline":[1,52,141,160,202],"extraction":[2,142,161],"is":[3,192],"essential":[4],"for":[5,27,128,180,199],"carotid":[6,69,78,98,147,186,204],"stenosis":[7],"assessment":[8],"and":[9,24,41,88,137],"atherosclerotic":[10],"plaque":[11],"identification":[12,23],"in":[13,45,188,206],"clinical":[14,189],"diagnosis.":[15],"Simultaneously,":[16],"it":[17],"provides":[18],"a":[19,46,59,86,89,108,118,196],"region":[20,100],"of":[21,67,85,115,124,203],"interest":[22],"boundary":[25],"initialization":[26],"computer-assisted":[28,207],"diagnosis":[29],"tools.":[30,208],"In":[31],"magnetic":[32],"resonance":[33],"imaging":[34],"(MRI)":[35],"cross-sectional":[36],"images,":[37],"the":[38,51,64,68,77,93,97,102,113,133,140,150,185,201],"lumen":[39,99,125,134],"shape":[40],"vascular":[42],"topology":[43],"result":[44],"challenging":[47],"task":[48],"to":[49,73,75,120,157,182],"extract":[50,76],"accurately.":[53],"To":[54],"this":[55],"end,":[56],"we":[57,106],"propose":[58],"space-refine":[60],"framework,":[61],"which":[62],"exploits":[63],"positional":[65],"continuity":[66],"artery":[70,79,148,187],"from":[71,101,117],"frame":[72,74],"centerline.":[80],"The":[81],"proposed":[82,151,171],"framework":[83,152,172],"consists":[84],"detector":[87,94,119],"refinement":[90,109],"module.":[91],"Specifically,":[92],"roughly":[95],"extracts":[96],"original":[103],"image.":[104],"Then,":[105],"introduce":[107],"module":[110],"that":[111],"uses":[112],"cascade":[114],"regressors":[116],"perform":[121],"sequence":[122],"realignment":[123],"bounding":[126],"boxes":[127],"each":[129],"subject.":[130],"It":[131,191],"improves":[132],"localization":[135],"results":[136],"further":[138],"enhances":[139],"accuracy.":[143],"Verified":[144],"by":[145],"large":[146],"data,":[149],"achieves":[153],"state-of-the-art":[154],"performance":[155],"compared":[156],"conventional":[158],"vessel":[159],"methods":[162],"or":[163],"standard":[164],"convolutional":[165],"neural":[166],"network":[167],"approaches.Clinical":[168],"relevance-":[169],"Our":[170],"can":[173],"be":[174],"used":[175,194],"as":[176,195],"an":[177],"important":[178],"aid":[179],"physicians":[181],"quantitatively":[183],"analyze":[184],"practice.":[190],"also":[193],"new":[197],"paradigm":[198],"extracting":[200],"vessels":[205]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}