{"id":"https://openalex.org/W2161959735","doi":"https://doi.org/10.1109/isbi.2010.5490083","title":"Vessel tree extraction using locally optimal paths","display_name":"Vessel tree extraction using locally optimal paths","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2161959735","doi":"https://doi.org/10.1109/isbi.2010.5490083","mag":"2161959735"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5109870289","display_name":"Pechin Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Pechin Lo","raw_affiliation_strings":["Department of Computer Science, University of Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042982766","display_name":"Bram van Ginneken","orcid":"https://orcid.org/0000-0003-2028-8972"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Bram van Ginneken","raw_affiliation_strings":["Department of Radiology, Radboud University Nijmegen, Netherlands","Image Sciences Institute, University Medical Centre, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Radboud University Nijmegen, Netherlands","institution_ids":["https://openalex.org/I145872427"]},{"raw_affiliation_string":"Image Sciences Institute, University Medical Centre, Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023677285","display_name":"Marleen de Bruijne","orcid":"https://orcid.org/0000-0002-6328-902X"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]},{"id":"https://openalex.org/I2801952686","display_name":"Erasmus MC","ror":"https://ror.org/018906e22","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I2801952686"]}],"countries":["DK","NL"],"is_corresponding":false,"raw_author_name":"Marleen de Bruijne","raw_affiliation_strings":["Biomedical Imaging Group Rotterdam, Erasmus MC-University Medical Center Rotterdam, Rotterdam, Netherlands","Department of Computer Science, University of Copenhagen, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Group Rotterdam, Erasmus MC-University Medical Center Rotterdam, Rotterdam, Netherlands","institution_ids":["https://openalex.org/I2801952686"]},{"raw_affiliation_string":"Department of Computer Science, University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7091,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.91232529,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"1496","issue":null,"first_page":"680","last_page":"683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9068999886512756,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9068999886512756,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/tree","display_name":"Tree (set theory)","score":0.6224093437194824},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6171659231185913},{"id":"https://openalex.org/keywords/pulmonary-vessels","display_name":"Pulmonary vessels","score":0.6024513244628906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5060455203056335},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4668470323085785},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4368998110294342},{"id":"https://openalex.org/keywords/peripheral-vessels","display_name":"Peripheral vessels","score":0.4176441729068756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29329654574394226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21197861433029175},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.06490254402160645}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6224093437194824},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6171659231185913},{"id":"https://openalex.org/C2909926780","wikidata":"https://www.wikidata.org/wiki/Q494603","display_name":"Pulmonary vessels","level":3,"score":0.6024513244628906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5060455203056335},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4668470323085785},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4368998110294342},{"id":"https://openalex.org/C2910094404","wikidata":"https://www.wikidata.org/wiki/Q7168696","display_name":"Peripheral vessels","level":2,"score":0.4176441729068756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29329654574394226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21197861433029175},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.06490254402160645},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2780930700","wikidata":"https://www.wikidata.org/wiki/Q1128595","display_name":"Pulmonary hypertension","level":2,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2010.5490083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.eur.nl:publications/1786f4e6-7767-4010-9666-f5c97198297f","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/1786f4e6-7767-4010-9666-f5c97198297f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lo, P, Van Ginneken, B & De Bruijne, M 2010, Vessel tree extraction using locally optimal paths. in 2010 7th IEEE International Symposium on Biomedical Imaging : From Nano to Macro, ISBI 2010 - Proceedings., 5490083, IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 680-683, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 14/04/10. https://doi.org/10.1109/ISBI.2010.5490083","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/f24d5c60-43fc-11df-928f-000ea68e967b","is_oa":false,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/f24d5c60-43fc-11df-928f-000ea68e967b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lo , P C P , van Ginneken , B & de Bruijne , M 2010 , Vessel tree extraction using locally optimal paths . in 2010 IEEE International Symposium on Biomedical Imaging : from nano to Macro . IEEE , pp. 680-683 , 7th IEEE International Symposium on Biomedical Imaging , Rotterdam , Netherlands , 14/04/2010 . https://doi.org/10.1109/ISBI.2010.5490083","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1516693612","https://openalex.org/W1534002974","https://openalex.org/W1639104204","https://openalex.org/W1899587360","https://openalex.org/W2027931360","https://openalex.org/W2111042557","https://openalex.org/W2129534965","https://openalex.org/W2134756983","https://openalex.org/W2154672925","https://openalex.org/W2164160732","https://openalex.org/W2331620064","https://openalex.org/W3148529547","https://openalex.org/W4285719527","https://openalex.org/W6632147624","https://openalex.org/W6637017579","https://openalex.org/W6639597503","https://openalex.org/W6679367408","https://openalex.org/W6702531953"],"related_works":["https://openalex.org/W2377297411","https://openalex.org/W3148217948","https://openalex.org/W2065436709","https://openalex.org/W2383101184","https://openalex.org/W2161959735","https://openalex.org/W2393662616","https://openalex.org/W2371566702","https://openalex.org/W4234467166","https://openalex.org/W378084128","https://openalex.org/W1715460329"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,21,25,73,90],"method":[4,68],"to":[5,71,88],"extract":[6,72,79],"vessel":[7,27,46,62,76,97],"trees":[8,63],"by":[9],"continually":[10],"extending":[11],"detected":[12],"branches":[13],"with":[14],"locally":[15],"optimal":[16],"paths.":[17],"Our":[18],"approach":[19],"uses":[20],"cost":[22],"function":[23],"from":[24],"multiscale":[26],"enhancement":[28,98],"filter.":[29,99],"Optimal":[30],"paths":[31],"are":[32],"selected":[33],"based":[34],"on":[35,51,92],"rules":[36],"that":[37],"take":[38],"into":[39],"account":[40],"the":[41,45,60,82,93,96],"geometric":[42],"characteristics":[43],"of":[44,81,95],"tree.":[47],"Experiments":[48],"were":[49,64],"performed":[50],"10":[52],"low":[53],"dose":[54],"chest":[55],"CT":[56],"scans":[57],"for":[58],"which":[59],"pulmonary":[61],"extracted.":[65],"The":[66],"proposed":[67],"is":[69],"shown":[70],"better":[74],"connected":[75],"tree":[77],"and":[78],"more":[80],"small":[83],"peripheral":[84],"vessels":[85],"in":[86],"comparison":[87],"applying":[89],"threshold":[91],"output":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
