{"id":"https://openalex.org/W4392539426","doi":"https://doi.org/10.48550/arxiv.2403.02544","title":"Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning","display_name":"Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392539426","doi":"https://doi.org/10.48550/arxiv.2403.02544"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.02544","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.02544","pdf_url":"https://arxiv.org/pdf/2403.02544","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.02544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017535733","display_name":"Mariusz Bujny","orcid":"https://orcid.org/0000-0003-4058-3784","observed_orcids":["https://orcid.org/0000-0003-4058-3784"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bujny, Mariusz","raw_affiliation_strings":["Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089496341","display_name":"Katarzyna Jesionek","orcid":"https://orcid.org/0000-0003-4117-0076","observed_orcids":["https://orcid.org/0000-0003-4117-0076"]},"institutions":[{"id":"https://openalex.org/I864159182","display_name":"University of Silesia in Katowice","ror":"https://ror.org/0104rcc94","country_code":"PL","type":"education","lineage":["https://openalex.org/I864159182"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jesionek, Katarzyna","raw_affiliation_strings":["Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","University of Silesia , ul. Bankowa 12 , Katowice , 40-007 , Silesian Voivodeship , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":[]},{"raw_affiliation_string":"University of Silesia , ul. Bankowa 12 , Katowice , 40-007 , Silesian Voivodeship , Poland","institution_ids":["https://openalex.org/I864159182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041796575","display_name":"Jakub Nalepa","orcid":"https://orcid.org/0000-0002-4026-1569","observed_orcids":["https://orcid.org/0000-0002-4026-1569"]},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Nalepa, Jakub","raw_affiliation_strings":["Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","Silesian University of Technology , ul. Akademicka 16 , Gliwice , 44-100 , Silesian Voivodeship , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":[]},{"raw_affiliation_string":"Silesian University of Technology , ul. Akademicka 16 , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055318669","display_name":"Karol Miszalski\u2010Jamka","orcid":"https://orcid.org/0000-0002-9111-3785","observed_orcids":["https://orcid.org/0000-0002-9111-3785"]},"institutions":[{"id":"https://openalex.org/I4210133622","display_name":"Silesian Center for Heart Disease","ror":"https://ror.org/04kn0zf27","country_code":"PL","type":"nonprofit","lineage":["https://openalex.org/I4210133622"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Miszalski-Jamka, Karol","raw_affiliation_strings":["Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","Silesian Center for Heart Diseases , ul. Marii Sk\u0142odowskiej-Curie 9 , Zabrze , 41-800 , Silesian Voivodeship , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":[]},{"raw_affiliation_string":"Silesian Center for Heart Diseases , ul. Marii Sk\u0142odowskiej-Curie 9 , Zabrze , 41-800 , Silesian Voivodeship , Poland","institution_ids":["https://openalex.org/I4210133622"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094087418","display_name":"Katarzyna Widawka-\u017bak","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Widawka-\u017bak, Katarzyna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033539951","display_name":"Sabina Wolny","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wolny, Sabina","raw_affiliation_strings":["Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061813834","display_name":"Marcin Kostur","orcid":"https://orcid.org/0000-0001-7239-2216","observed_orcids":["https://orcid.org/0000-0001-7239-2216"]},"institutions":[{"id":"https://openalex.org/I864159182","display_name":"University of Silesia in Katowice","ror":"https://ror.org/0104rcc94","country_code":"PL","type":"education","lineage":["https://openalex.org/I864159182"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Kostur, Marcin","raw_affiliation_strings":["Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","University of Silesia , ul. Bankowa 12 , Katowice , 40-007 , Silesian Voivodeship , Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graylight Imaging , ul. Bojkowska 37a , Gliwice , 44-100 , Silesian Voivodeship , Poland","institution_ids":[]},{"raw_affiliation_string":"University of Silesia , ul. Bankowa 12 , Katowice , 40-007 , Silesian Voivodeship , Poland","institution_ids":["https://openalex.org/I864159182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.8827999830245972,"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":0.8827999830245972,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.1031000018119812,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.0052999998442828655,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/coronary-artery-segmentation","display_name":"coronary artery segmentation","score":1.0},{"id":"https://openalex.org/keywords/non-contrast-cardiac-ct","display_name":"non-contrast cardiac CT","score":0.9319999814033508},{"id":"https://openalex.org/keywords/calcium-scoring","display_name":"calcium scoring","score":0.7250000238418579},{"id":"https://openalex.org/keywords/deep-learning-segmentation","display_name":"deep learning segmentation","score":0.6549999713897705},{"id":"https://openalex.org/keywords/ground-truth-generation","display_name":"ground truth generation","score":0.734000027179718},{"id":"https://openalex.org/keywords/ecg-gated-ct","display_name":"ECG-gated CT","score":0.8970000147819519},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"coronary artery disease","score":0.9010000228881836},{"id":"https://openalex.org/keywords/atherosclerotic-plaque","display_name":"atherosclerotic plaque","score":0.7590000033378601},{"id":"https://openalex.org/keywords/interobserver-variability","display_name":"interobserver variability","score":0.8259999752044678}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7035908102989197},{"id":"https://openalex.org/C2994533308","wikidata":"https://www.wikidata.org/wiki/Q5629407","display_name":"Coronary artery calcium","level":3,"score":0.6757635474205017},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6338107585906982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.532811164855957},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.4567621052265167},{"id":"https://openalex.org/C519063684","wikidata":"https://www.wikidata.org/wiki/Q706","display_name":"Calcium","level":2,"score":0.4558694064617157},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4491370916366577},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44703662395477295},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.35188376903533936},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.34649208188056946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34261900186538696},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.32847851514816284},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.2706358730792999}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.02544","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.02544","pdf_url":"https://arxiv.org/pdf/2403.02544","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.02544","doi":"https://doi.org/10.48550/arxiv.2403.02544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.02544","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.02544","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.02544","pdf_url":"https://arxiv.org/pdf/2403.02544","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5683000087738037}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324727","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392539426.pdf","grobid_xml":"https://content.openalex.org/works/W4392539426.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W4375867731","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2611989081","https://openalex.org/W2004231473"],"abstract_inverted_index":{"Precise":[0],"localization":[1],"of":[2,15,18,30,40,64,84,90,127,159,162],"coronary":[3,19,31,109],"arteries":[4,32,110],"in":[5,33,45,61,87,111,146],"Computed":[6],"Tomography":[7],"(CT)":[8],"scans":[9],"is":[10,48,142,193],"critical":[11],"from":[12,120],"the":[13,38,67,88,137,175,204,212,220,227],"perspective":[14],"medical":[16,65],"assessment":[17],"artery":[20],"disease.":[21],"Although":[22],"various":[23],"methods":[24,69],"exist":[25],"that":[26,136,203],"offer":[27],"high-quality":[28],"segmentation":[29,176],"cardiac":[34,115],"contrast-enhanced":[35],"CT":[36,44,116],"scans,":[37],"potential":[39],"less":[41],"invasive,":[42],"non-contrast":[43,114],"this":[46,62,94,98,147],"area":[47],"still":[49],"not":[50],"fully":[51],"exploited.":[52],"Since":[53],"such":[54,180],"fine":[55],"anatomical":[56],"structures":[57],"are":[58,70,79],"hardly":[59],"visible":[60],"type":[63],"images,":[66],"existing":[68],"characterized":[71],"by":[72],"high":[73],"recall":[74],"and":[75,78,101,172,217,222],"low":[76],"precision,":[77],"used":[80,194,214],"mainly":[81],"for":[82,107,124,155,188,215],"filtering":[83],"atherosclerotic":[85],"plaques":[86],"context":[89],"calcium":[91],"scoring.":[92],"In":[93],"paper,":[95],"we":[96,183],"address":[97],"research":[99],"gap":[100],"introduce":[102],"a":[103,121,156,185],"deep":[104],"learning":[105],"algorithm":[106],"segmenting":[108],"multi-vendor":[112],"ECG-gated":[113],"images":[117],"which":[118,165,192],"benefits":[119],"novel":[122,186],"framework":[123],"semi-automatic":[125],"generation":[126,140,158],"Ground":[128],"Truth":[129],"(GT)":[130],"via":[131],"image":[132],"registration.":[133],"We":[134],"hypothesize":[135],"proposed":[138],"GT":[139,213],"process":[141],"much":[143],"more":[144],"efficient":[145],"case":[148],"than":[149,211],"manual":[150,189],"segmentation,":[151],"since":[152],"it":[153],"allows":[154],"fast":[157],"large":[160],"volumes":[161],"diverse":[163],"data,":[164],"leads":[166,218],"to":[167,195,219,226],"well-generalizing":[168],"models.":[169],"To":[170],"investigate":[171],"thoroughly":[173],"evaluate":[174],"quality":[177],"based":[178],"on":[179],"an":[181],"approach,":[182],"propose":[184],"method":[187],"mesh-to-image":[190],"registration,":[191],"create":[196],"our":[197],"test-GT.":[198],"The":[199],"experimental":[200],"study":[201],"shows":[202],"trained":[205],"model":[206],"has":[207],"significantly":[208],"higher":[209],"accuracy":[210],"training,":[216],"Dice":[221],"clDice":[223],"metrics":[224],"close":[225],"interrater":[228],"variability.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2024-03-07T00:00:00"}
