{"id":"https://openalex.org/W2567511171","doi":"https://doi.org/10.1109/icip.2016.7532382","title":"Vessel segmentation in low contrast X-ray angiogram images","display_name":"Vessel segmentation in low contrast X-ray angiogram images","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2567511171","doi":"https://doi.org/10.1109/icip.2016.7532382","mag":"2567511171"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5042625687","display_name":"Banafsheh Felfelian","orcid":null},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"B. Felfelian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041448983","display_name":"Hamidreza Fazlali","orcid":"https://orcid.org/0000-0002-1338-6614"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"H. R. Fazlali","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086843767","display_name":"Nader Karimi","orcid":"https://orcid.org/0000-0001-8904-1607"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"N. Karimi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023608941","display_name":"S. M. Reza Soroushmehr","orcid":"https://orcid.org/0000-0001-8417-9260"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. M. R. Soroushmehr","raw_affiliation_strings":["Department of Emergency Medicine, University of Michigan, Ann Arbor, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Emergency Medicine, University of Michigan, Ann Arbor, U.S.A","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001420311","display_name":"Shadrokh Samavi","orcid":"https://orcid.org/0000-0003-3951-3770"},"institutions":[{"id":"https://openalex.org/I170013655","display_name":"Isfahan University of Technology","ror":"https://ror.org/00af3sa43","country_code":"IR","type":"education","lineage":["https://openalex.org/I170013655"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. Samavi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran","institution_ids":["https://openalex.org/I170013655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051796100","display_name":"Brahmajee K. Nallamothu","orcid":"https://orcid.org/0000-0003-4331-6649"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Nallamothu","raw_affiliation_strings":["Departruent of Internal Medicine, University of Michigan, Ann Arbor, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departruent of Internal Medicine, University of Michigan, Ann Arbor, U.S.A","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067697464","display_name":"Kayvan Najarian","orcid":"https://orcid.org/0000-0003-4485-6612"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Najarian","raw_affiliation_strings":["Deptartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deptartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, U.S.A","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3521,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8752633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"375","last_page":"379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9970999956130981,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6331747770309448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5868306159973145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5737236738204956},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5661532282829285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5212279558181763},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49872303009033203},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3432350754737854}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6331747770309448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5868306159973145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5737236738204956},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5661532282829285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5212279558181763},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49872303009033203},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3432350754737854}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2016.7532382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1719717358","https://openalex.org/W1992722249","https://openalex.org/W2024617878","https://openalex.org/W2048316306","https://openalex.org/W2092589256","https://openalex.org/W2113027806","https://openalex.org/W2125188192","https://openalex.org/W2127691257","https://openalex.org/W2129534965","https://openalex.org/W2131607732","https://openalex.org/W2139924999","https://openalex.org/W2156098294","https://openalex.org/W2295990464","https://openalex.org/W2296413153","https://openalex.org/W6679367408","https://openalex.org/W6697207563"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2329812990","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Coronary":[0],"artery":[1],"disease":[2,20],"is":[3,21,35,55,94,136],"one":[4],"of":[5,9,28,41,53,70,89,118,124,130,140],"the":[6,12,82,105,110,125],"major":[7,132],"causes":[8],"death":[10],"throughout":[11],"world.":[13],"An":[14],"effective":[15],"method":[16,120,135],"for":[17,86],"diagnosing":[18],"this":[19,62],"X-ray":[22],"angiography.":[23],"The":[24],"images":[25],"are":[26],"usually":[27],"poor":[29],"quality":[30],"and":[31,45,58,115],"low":[32,47],"contrast.":[33],"This":[34],"due":[36],"to":[37,96],"non-uniform":[38],"illumination,":[39],"appearance":[40],"other":[42],"body":[43],"organs":[44],"artifacts,":[46],"SNR":[48],"values,":[49],"etc.":[50],"Accurate":[51],"segmentation":[52],"arteries":[54,68,107],"a":[56],"challenging":[57],"important":[59],"task.":[60],"In":[61,128],"paper":[63],"we":[64,77,103],"first":[65],"extract":[66],"coronary":[67,106],"region":[69],"interest":[71],"(ROI)":[72],"using":[73],"Hessian":[74],"filter.":[75],"Then,":[76],"combine":[78],"these":[79],"results":[80],"with":[81],"flux":[83],"flow":[84],"measurements":[85],"accurate":[87],"identification":[88],"vessel":[90,100],"pixels.":[91,101],"Post":[92],"processing":[93],"performed":[95],"eliminate":[97],"falsely":[98],"identified":[99],"Finally,":[102],"segment":[104],"by":[108],"selecting":[109],"largest":[111],"connected":[112],"component.":[113],"Qualitative":[114],"quantitative":[116],"evaluations":[117],"our":[119,134],"show":[121],"high":[122],"effectiveness":[123],"proposed":[126],"method.":[127],"terms":[129],"capturing":[131],"vessels":[133],"successful":[137],"in":[138],"96%":[139],"cases.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
