{"id":"https://openalex.org/W2127895623","doi":"https://doi.org/10.1109/bmei.2009.5305720","title":"Segmentation and Tracking of Coronary Artery Using Graph-Cut in CT Angiographic","display_name":"Segmentation and Tracking of Coronary Artery Using Graph-Cut in CT Angiographic","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2127895623","doi":"https://doi.org/10.1109/bmei.2009.5305720","mag":"2127895623"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2009.5305720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5305720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"},"type":"article","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/A5100457594","display_name":"Meng Li","orcid":"https://orcid.org/0009-0003-1444-8375"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Li","raw_affiliation_strings":["The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669549","display_name":"Huiguang He","orcid":"https://orcid.org/0000-0002-0684-1711"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiguang He","raw_affiliation_strings":["The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008345525","display_name":"Jianhua Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Yi","raw_affiliation_strings":["The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084540043","display_name":"Bin Lv","orcid":"https://orcid.org/0000-0001-9858-8778"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Lv","raw_affiliation_strings":["The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy and Sciences, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049534713","display_name":"Mingchang Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchang Zhao","raw_affiliation_strings":["Fudan University, Shanghai, China","Fudan University Shanghai, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University Shanghai, China#TAB#","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100457594"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.22086862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9987999796867371,"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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coronary-arteries","display_name":"Coronary arteries","score":0.6451377868652344},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.64127516746521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.640429675579071},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5968419313430786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5906528234481812},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.556860625743866},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4891050457954407},{"id":"https://openalex.org/keywords/artery","display_name":"Artery","score":0.4674438238143921},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4625721573829651},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.44513991475105286},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44474494457244873},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.417277991771698},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4118522107601166},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3713870942592621},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24717554450035095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19832062721252441},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1560010313987732}],"concepts":[{"id":"https://openalex.org/C2778742706","wikidata":"https://www.wikidata.org/wiki/Q18361829","display_name":"Coronary arteries","level":3,"score":0.6451377868652344},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.64127516746521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.640429675579071},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5968419313430786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5906528234481812},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.556860625743866},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4891050457954407},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.4674438238143921},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4625721573829651},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.44513991475105286},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44474494457244873},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.417277991771698},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4118522107601166},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3713870942592621},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24717554450035095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19832062721252441},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1560010313987732},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2009.5305720","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5305720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1974281449","https://openalex.org/W1997063559","https://openalex.org/W1997246658","https://openalex.org/W1999478155","https://openalex.org/W2002531683","https://openalex.org/W2020999234","https://openalex.org/W2084494598","https://openalex.org/W2104125540","https://openalex.org/W2113137767","https://openalex.org/W2121947440","https://openalex.org/W2133059825","https://openalex.org/W2139161977","https://openalex.org/W2143516773","https://openalex.org/W2162253476","https://openalex.org/W2170092083","https://openalex.org/W2294819727","https://openalex.org/W4213060883","https://openalex.org/W6677945368"],"related_works":["https://openalex.org/W2021562513","https://openalex.org/W4383669989","https://openalex.org/W2414481425","https://openalex.org/W2412542586","https://openalex.org/W2109407305","https://openalex.org/W2032319136","https://openalex.org/W1582388844","https://openalex.org/W2088651901","https://openalex.org/W2897997384","https://openalex.org/W1544828638"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,71],"semiautomatic":[4],"method":[5,30,72,106],"to":[6,35,51,111],"detect":[7],"the":[8,37,53,105,112],"coronary":[9,54,65,81],"arteries":[10,113],"in":[11,56,87],"X-ray":[12],"CT":[13],"angiography":[14],"(CTA)":[15],"images":[16],"with":[17,25,70],"simple":[18],"user":[19,103],"interaction.":[20],"The":[21,39,78,91],"algorithm":[22,95],"is":[23,49,68],"started":[24],"performing":[26],"modified":[27],"Otsu":[28],"threshold":[29],"and":[31,44,99],"clustering":[32],"of":[33,58,80],"superpixel":[34],"reconstruct":[36],"image.":[38],"interactive":[40],"graph":[41],"cut":[42],"segmentation":[43],"an":[45],"improved":[46],"top-hat":[47],"filter":[48],"used":[50],"extract":[52],"artery":[55,66,82],"series":[57],"two":[59],"dimension":[60],"(2D)":[61],"slice":[62],"images.":[63],"Finally,":[64],"tree":[67],"tracked":[69],"based":[73],"on":[74],"region":[75],"average":[76],"shift.":[77],"accuracy":[79],"extraction":[83],"has":[84,96],"been":[85],"validated":[86],"16":[88],"CTA":[89],"datasets.":[90],"results":[92],"demonstrate":[93],"this":[94],"satisfactory":[97],"speed":[98],"efficiency.":[100],"With":[101],"more":[102],"interaction,":[104],"can":[107],"be":[108],"easily":[109],"extended":[110],"that":[114],"are":[115],"not":[116],"detected":[117],"automatically.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
