{"id":"https://openalex.org/W4200145552","doi":"https://doi.org/10.1109/embc46164.2021.9629655","title":"Improved Centerline Extraction in Fully Automated Coronary Ostium Localization and Centerline Extraction Framework using Deep Learning","display_name":"Improved Centerline Extraction in Fully Automated Coronary Ostium Localization and Centerline Extraction Framework using Deep Learning","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200145552","doi":"https://doi.org/10.1109/embc46164.2021.9629655","pmid":"https://pubmed.ncbi.nlm.nih.gov/34892073"},"language":"en","primary_location":{"id":"doi:10.1109/embc46164.2021.9629655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629655","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd 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":null,"display_name":"Abdelrahman Mostafa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abdelrahman Mostafa","raw_affiliation_strings":["ADVINTIC Egypt Ltd., Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADVINTIC Egypt Ltd., Cairo, Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ahmed M. Ghanem","orcid":null},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed M. Ghanem","raw_affiliation_strings":["NIDDK, National Institutes of Health, Bethesda, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIDDK, National Institutes of Health, Bethesda, MD, USA","institution_ids":["https://openalex.org/I1299303238"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohamed El-Shatoury","orcid":null},"institutions":[{"id":"https://openalex.org/I114794399","display_name":"Suez Canal University","ror":"https://ror.org/02m82p074","country_code":"EG","type":"education","lineage":["https://openalex.org/I114794399"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed El-Shatoury","raw_affiliation_strings":["Faculty of Medicine, Suez Canal University, Suez, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine, Suez Canal University, Suez, Egypt","institution_ids":["https://openalex.org/I114794399"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tamer Basha","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Tamer Basha","raw_affiliation_strings":["Systems & Biomedical Eng., Cairo University, Cairo, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems & Biomedical Eng., Cairo University, Cairo, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1969,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57879656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2021","issue":null,"first_page":"3846","last_page":"3849"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.42399999499320984,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.42399999499320984,"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/T10193","display_name":"Coronary Interventions and Diagnostics","score":0.15320000052452087,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.08789999783039093,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/ostium","display_name":"Ostium","score":0.7408999800682068},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/coronary-arteries","display_name":"Coronary arteries","score":0.4731999933719635},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.4341000020503998},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.39559999108314514},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38019999861717224},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3774999976158142},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.3646000027656555}],"concepts":[{"id":"https://openalex.org/C2778930955","wikidata":"https://www.wikidata.org/wiki/Q2035683","display_name":"Ostium","level":2,"score":0.7408999800682068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6995999813079834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5997999906539917},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.4731999933719635},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44279998540878296},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41990000009536743},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C55138121","wikidata":"https://www.wikidata.org/wiki/Q7370320","display_name":"Rotational angiography","level":3,"score":0.34290000796318054},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.31540000438690186},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.28850001096725464},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C3019004856","wikidata":"https://www.wikidata.org/wiki/Q42297149","display_name":"Coronary angiography","level":3,"score":0.26930001378059387},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C203539429","wikidata":"https://www.wikidata.org/wiki/Q170417","display_name":"Caliber","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.2513999938964844}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc46164.2021.9629655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc46164.2021.9629655","pdf_url":null,"source":{"id":"https://openalex.org/S4363607750","display_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:34892073","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34892073","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/F4320330531","display_name":"Information Technology Industry Development Agency","ror":"https://ror.org/01ycecr18"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W199229348","https://openalex.org/W279161287","https://openalex.org/W1553719179","https://openalex.org/W1901129140","https://openalex.org/W2002963704","https://openalex.org/W2031576042","https://openalex.org/W2088495565","https://openalex.org/W2129534965","https://openalex.org/W2130153488","https://openalex.org/W2132259559","https://openalex.org/W2165023525","https://openalex.org/W2168005337","https://openalex.org/W2171900259","https://openalex.org/W2185291575","https://openalex.org/W2399244897","https://openalex.org/W2526330004","https://openalex.org/W2895401428","https://openalex.org/W2909435244","https://openalex.org/W2947263797","https://openalex.org/W2999475074","https://openalex.org/W3041267126","https://openalex.org/W3120795911","https://openalex.org/W3122226502","https://openalex.org/W3127634507","https://openalex.org/W4206519045","https://openalex.org/W6696085341"],"related_works":[],"abstract_inverted_index":{"Coronary":[0],"artery":[1,102],"extraction":[2,135],"in":[3,80],"cardiac":[4],"CT":[5],"angiography":[6],"(CCTA)":[7],"image":[8,47,82],"volume":[9],"is":[10,73],"a":[11,28,70],"necessary":[12],"step":[13],"for":[14,150],"any":[15],"quantitative":[16],"assessment":[17],"of":[18,41,113,115,144],"stenoses":[19],"and":[20,55,67,92,99,121,141,154],"atherosclerotic":[21],"plaque.":[22],"In":[23],"this":[24],"work,":[25],"we":[26],"propose":[27],"fully":[29],"automated":[30],"workflow":[31],"that":[32,110],"depends":[33],"on":[34,64],"convolutional":[35],"networks":[36],"to":[37,75,89,97],"extract":[38,100],"the":[39,42,52,58,77,81,116],"centerlines":[40,134],"coronary":[43,132],"arteries":[44,133],"from":[45,50,127],"CCTA":[46],"volumes,":[48],"starting":[49],"identifying":[51],"ostium":[53,78,117],"points":[54,79,86,118],"then":[56,84],"tracking":[57],"vessel":[59],"till":[60,103],"its":[61,65,104],"end":[62,105],"based":[63],"radius":[66,93],"direction.":[68],"First,":[69],"regression":[71],"U-Net":[72],"employed":[74],"identify":[76],"volume,":[83],"these":[85],"are":[87],"fed":[88],"an":[90,111],"orientation":[91],"predictor":[94],"CNN":[95],"model":[96],"track":[98],"each":[101],"point.":[106],"Our":[107],"results":[108],"show":[109],"average":[112],"96%":[114],"were":[119],"identified":[120],"located":[122],"within":[123],"less":[124],"than":[125],"5mm":[126],"their":[128],"true":[129],"location.":[130],"The":[131],"was":[136],"performed":[137],"with":[138],"high":[139],"accuracy":[140],"lower":[142],"number":[143],"training":[145],"parameters":[146],"making":[147],"it":[148],"suitable":[149],"real":[151],"clinical":[152],"applications":[153],"continuous":[155],"learning.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-12-31T00:00:00"}