{"id":"https://openalex.org/W2593661785","doi":"https://doi.org/10.1117/12.2254327","title":"A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast enhanced CT","display_name":"A hybrid 3D region growing and 4D curvature analysis-based automatic abdominal blood vessel segmentation through contrast enhanced CT","publication_year":2017,"publication_date":"2017-03-03","ids":{"openalex":"https://openalex.org/W2593661785","doi":"https://doi.org/10.1117/12.2254327","mag":"2593661785"},"language":"en","primary_location":{"id":"doi:10.1117/12.2254327","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254327","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5022700854","display_name":"Ahmed S. Maklad","orcid":"https://orcid.org/0000-0003-2201-7084"},"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":"Ahmed S. Maklad","raw_affiliation_strings":["Tokushima Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"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)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085175647","display_name":"Hidenobu Suzuki","orcid":"https://orcid.org/0000-0002-2605-1100"},"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":"Hidenobu Suzuki","raw_affiliation_strings":["Tokushima Univ. (Japan)"],"raw_orcid":null,"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)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013719582","display_name":"Noboru Niki","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":"Noboru Niki","raw_affiliation_strings":["Tokushima Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066565101","display_name":"Mitsuo Shimada","orcid":"https://orcid.org/0000-0003-1255-4783"},"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":"Mitsuo Shimada","raw_affiliation_strings":["Tokushima Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokushima Univ. (Japan)","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033123655","display_name":"Gen Iinuma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gen Iinuma","raw_affiliation_strings":["National Cancer Ctr. Hospital (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Cancer Ctr. Hospital (Japan)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01172779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10134","issue":null,"first_page":"101344C","last_page":"101344C"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9819999933242798,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7659499645233154},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.6762825846672058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6363674402236938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6062519550323486},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4847418963909149},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4828627407550812},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44092410802841187},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43763527274131775},{"id":"https://openalex.org/keywords/rib-cage","display_name":"Rib cage","score":0.43738412857055664},{"id":"https://openalex.org/keywords/pelvis","display_name":"Pelvis","score":0.4164605438709259},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3572138249874115},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3553085923194885},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.2499730885028839},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15328410267829895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11864405870437622}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7659499645233154},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.6762825846672058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6363674402236938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062519550323486},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4847418963909149},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4828627407550812},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44092410802841187},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43763527274131775},{"id":"https://openalex.org/C160306043","wikidata":"https://www.wikidata.org/wiki/Q2576226","display_name":"Rib cage","level":2,"score":0.43738412857055664},{"id":"https://openalex.org/C2778357063","wikidata":"https://www.wikidata.org/wiki/Q713102","display_name":"Pelvis","level":2,"score":0.4164605438709259},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3572138249874115},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3553085923194885},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.2499730885028839},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15328410267829895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11864405870437622},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2254327","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2254327","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2009933150","https://openalex.org/W2139924999","https://openalex.org/W2168005337","https://openalex.org/W2333361544","https://openalex.org/W3217410942","https://openalex.org/W4298164899","https://openalex.org/W6702911451"],"related_works":["https://openalex.org/W1985827995","https://openalex.org/W2913145587","https://openalex.org/W2125447159","https://openalex.org/W2990896816","https://openalex.org/W2460163667","https://openalex.org/W4290169775","https://openalex.org/W1852468608","https://openalex.org/W2093077424","https://openalex.org/W3209530690","https://openalex.org/W2094797619"],"abstract_inverted_index":{"In":[0],"abdominal":[1,6,11,96],"disease":[2],"diagnosis":[3],"and":[4,24,50,66,78,83,95,117,139,145],"various":[5],"surgeries":[7],"planning,":[8],"segmentation":[9,21],"of":[10,27,46,62,98],"blood":[12],"vessel":[13],"(ABVs)":[14],"is":[15,76,134],"a":[16,31,44,108,113],"very":[17,135],"imperative":[18],"task.":[19],"Automatic":[20],"enables":[22],"fast":[23],"accurate":[25],"processing":[26],"ABVs.":[28],"We":[29],"proposed":[30,55,132],"fully":[32],"automatic":[33],"approach":[34,110],"for":[35],"segmenting":[36,138,142],"ABVs":[37,65,86,104,144],"through":[38],"contrast":[39],"enhanced":[40],"CT":[41],"images":[42],"by":[43,70,107],"hybrid":[45,109],"3D":[47,114],"region":[48,115],"growing":[49,116],"4D":[51,118],"curvature":[52,119],"analysis.":[53,120],"The":[54],"method":[56,133],"comprises":[57],"three":[58],"stages.":[59],"First,":[60],"candidates":[61],"bone,":[63,141],"kidneys,":[64],"heart":[67,100],"are":[68,87,101,105,122],"segmented":[69,89,106],"an":[71],"auto-adapted":[72],"threshold.":[73],"Second,":[74],"bone":[75],"auto-segmented":[77],"classified":[79],"into":[80],"spine,":[81],"ribs":[82],"pelvis.":[84],"Third,":[85],"automatically":[88],"in":[90,137,150],"two":[91,125],"sub-steps:":[92],"(1)":[93],"kidneys":[94],"part":[97],"the":[99,131],"segmented,":[102],"(2)":[103],"that":[111,130],"integrates":[112],"Results":[121,128],"compared":[123],"with":[124],"conventional":[126],"methods.":[127],"show":[129],"promising":[136],"classifying":[140],"whole":[143],"may":[146],"have":[147],"potential":[148],"utility":[149],"clinical":[151],"use.":[152]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
