{"id":"https://openalex.org/W4283374925","doi":"https://doi.org/10.1117/12.2612705","title":"Segmentation of aorta and main pulmonary artery of non-contrast CT images using U-Net for chronic thromboembolic pulmonary hypertension: evaluation of robustness to contacts with blood vessels","display_name":"Segmentation of aorta and main pulmonary artery of non-contrast CT images using U-Net for chronic thromboembolic pulmonary hypertension: evaluation of robustness to contacts with blood vessels","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4283374925","doi":"https://doi.org/10.1117/12.2612705"},"language":"en","primary_location":{"id":"doi:10.1117/12.2612705","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612705","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://tokushima-u.repo.nii.ac.jp/records/2009806","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085175647","display_name":"Hidenobu Suzuki","orcid":"https://orcid.org/0000-0002-2605-1100"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hidenobu Suzuki","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113548875","display_name":"Mikio Matsuhiro","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mikio Matsuhiro","raw_affiliation_strings":["Tokushima Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003127183","display_name":"Yoshiki Kawata","orcid":"https://orcid.org/0000-0003-0437-8740"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiki Kawata","raw_affiliation_strings":["Tokushima Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017693117","display_name":"Toshihiko Sugiura","orcid":"https://orcid.org/0000-0003-4394-6229"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiko Sugiura","raw_affiliation_strings":["Chiba Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Chiba Univ. (Japan)","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000377692","display_name":"Nobuhiro Tanabe","orcid":"https://orcid.org/0000-0001-5593-9128"},"institutions":[{"id":"https://openalex.org/I159385669","display_name":"Chiba University","ror":"https://ror.org/01hjzeq58","country_code":"JP","type":"education","lineage":["https://openalex.org/I159385669"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuhiro Tanabe","raw_affiliation_strings":["Chiba Univ. (Japan)"],"affiliations":[{"raw_affiliation_string":"Chiba Univ. (Japan)","institution_ids":["https://openalex.org/I159385669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019599463","display_name":"Masahiko Kusumoto","orcid":"https://orcid.org/0000-0002-4557-3609"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masahiko Kusumoto","raw_affiliation_strings":["National Cancer Ctr. Hospital (Japan)"],"affiliations":[{"raw_affiliation_string":"National Cancer Ctr. Hospital (Japan)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005531754","display_name":"Masahiro Kaneko","orcid":"https://orcid.org/0000-0002-5117-5447"},"institutions":[{"id":"https://openalex.org/I4210095161","display_name":"Japan Industrial Safety and Health Association","ror":"https://ror.org/00jtmm480","country_code":"JP","type":"other","lineage":["https://openalex.org/I4210095161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Kaneko","raw_affiliation_strings":["Tokyo Health Service Association (Japan)"],"affiliations":[{"raw_affiliation_string":"Tokyo Health Service Association (Japan)","institution_ids":["https://openalex.org/I4210095161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013719582","display_name":"Noboru Niki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noboru Niki","raw_affiliation_strings":["Medical Science Institute, Inc. (Japan)"],"affiliations":[{"raw_affiliation_string":"Medical Science Institute, Inc. (Japan)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5085175647"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6371,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88936693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9414","issue":null,"first_page":"101","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10728","display_name":"Pulmonary Hypertension Research and Treatments","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10728","display_name":"Pulmonary Hypertension Research and Treatments","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12199","display_name":"Vascular Anomalies and Treatments","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/segmentation","display_name":"Segmentation","score":0.731335461139679},{"id":"https://openalex.org/keywords/aorta","display_name":"Aorta","score":0.6423895359039307},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5986754298210144},{"id":"https://openalex.org/keywords/pulmonary-artery","display_name":"Pulmonary artery","score":0.5599431991577148},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47103291749954224},{"id":"https://openalex.org/keywords/descending-aorta","display_name":"Descending aorta","score":0.46497654914855957},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4580908715724945},{"id":"https://openalex.org/keywords/pulmonary-hypertension","display_name":"Pulmonary hypertension","score":0.43093276023864746},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.4026850163936615},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3788726329803467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32673007249832153},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.32035332918167114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2779284417629242},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07028007507324219}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.731335461139679},{"id":"https://openalex.org/C2779980429","wikidata":"https://www.wikidata.org/wiki/Q101004","display_name":"Aorta","level":2,"score":0.6423895359039307},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5986754298210144},{"id":"https://openalex.org/C2780940725","wikidata":"https://www.wikidata.org/wiki/Q206280","display_name":"Pulmonary artery","level":2,"score":0.5599431991577148},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47103291749954224},{"id":"https://openalex.org/C2780663194","wikidata":"https://www.wikidata.org/wiki/Q3270170","display_name":"Descending aorta","level":3,"score":0.46497654914855957},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4580908715724945},{"id":"https://openalex.org/C2780930700","wikidata":"https://www.wikidata.org/wiki/Q1128595","display_name":"Pulmonary hypertension","level":2,"score":0.43093276023864746},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.4026850163936615},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3788726329803467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32673007249832153},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.32035332918167114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2779284417629242},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07028007507324219},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2612705","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2612705","pdf_url":null,"source":{"id":"https://openalex.org/S4363606689","display_name":"Medical Imaging 2022: Computer-Aided Diagnosis","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":"Medical Imaging 2022: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00906:0006781700","is_oa":true,"landing_page_url":"https://tokushima-u.repo.nii.ac.jp/records/2009806","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of SPIE","raw_type":"journal article"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:00906:0006781700","is_oa":true,"landing_page_url":"https://tokushima-u.repo.nii.ac.jp/records/2009806","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of SPIE","raw_type":"journal article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1981009218","https://openalex.org/W2014444834","https://openalex.org/W2030160331","https://openalex.org/W2052971463","https://openalex.org/W2055600987","https://openalex.org/W2154528779","https://openalex.org/W2157574022","https://openalex.org/W2464708700","https://openalex.org/W2798122215","https://openalex.org/W2916314754","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6653031141","https://openalex.org/W6653483111","https://openalex.org/W6698334943","https://openalex.org/W6713134421","https://openalex.org/W6748387687","https://openalex.org/W6749783963","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W2375940781","https://openalex.org/W4321512403","https://openalex.org/W2102416332","https://openalex.org/W2415275177","https://openalex.org/W3033050737","https://openalex.org/W1995895914","https://openalex.org/W2223700545","https://openalex.org/W2133035948","https://openalex.org/W2394087250","https://openalex.org/W1967913082"],"abstract_inverted_index":{"Enlargement":[0],"of":[1,9,14,28,38,66,96,100,105,112,123,160,185],"the":[2,15,26,35,39,48,64,67,86,89,97,116,124,193,197],"pulmonary":[3,10,19,29,80],"artery":[4,20],"is":[5,47],"a":[6,179],"morphological":[7],"abnormality":[8],"hypertension":[11,81],"patients.":[12],"Diameters":[13],"aorta":[16,40,68,125,167],"and":[17,41,69,77,84,120,126,162,168],"main":[18],"(MPA)":[21],"are":[22],"useful":[23],"for":[24,75],"predicting":[25],"presence":[27],"hypertension.":[30],"A":[31],"major":[32],"problem":[33],"in":[34,135],"automatic":[36],"segmentation":[37,65,98,122,131,170],"MPA":[42,70,127,169],"from":[43,71],"non-contrast":[44,72],"CT":[45,73],"images":[46,74],"invisible":[49],"boundary":[50,199],"caused":[51,188],"by":[52],"contact":[53,183],"with":[54,142,148,192],"blood":[55,92,186],"vessels.":[56,93],"In":[57],"this":[58],"study,":[59],"we":[60],"applied":[61],"U-Net":[62,141,147,174],"to":[63,88,115],"normal":[76],"chronic":[78],"thromboembolic":[79],"(CTEPH)":[82],"cases":[83],"evaluated":[85],"robustness":[87],"contacts":[90],"between":[91],"Our":[94],"approach":[95],"consists":[99],"three":[101],"steps:":[102],"(1)":[103],"detection":[104],"trachea":[106,117],"branch":[107,118],"point,":[108,119],"(2)":[109],"cropping":[110],"region":[111],"interest":[113],"centered":[114],"(3)":[121],"using":[128,172],"U-Net.":[129],"The":[130,166,182],"performances":[132],"were":[133,201],"compared":[134,191],"seven":[136],"methods:":[137],"2D":[138,140,146,152],"U-Net,":[139,154,156],"pre-trained":[143,149],"VGG-16":[144],"encoder,":[145,151],"VGG-19":[150],"Attention":[153],"3D":[155],"an":[157],"ensemble":[158],"method":[159],"them,":[161],"our":[163],"conventional":[164,180],"method.":[165,181],"methods":[171],"these":[173],"achieved":[175],"higher":[176],"performance":[177,190],"than":[178],"boundaries":[184],"vessels":[187],"lower":[189],"non-contact":[194],"boundaries,":[195],"whereas":[196],"mean":[198],"distances":[200],"below":[202],"about":[203],"one":[204],"pixel.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
