{"id":"https://openalex.org/W2018644436","doi":"https://doi.org/10.1109/icsmc.2012.6377932","title":"Nonrigid image registration method for thoracic CT images using vessel structure information","display_name":"Nonrigid image registration method for thoracic CT images using vessel structure information","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2018644436","doi":"https://doi.org/10.1109/icsmc.2012.6377932","mag":"2018644436"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2012.6377932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6377932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5113817921","display_name":"Shinya Maeda","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shinya Maeda","raw_affiliation_strings":["Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080756118","display_name":"Hyoung Seop Kim","orcid":"https://orcid.org/0000-0002-3155-583X"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hyoungseop Kim","raw_affiliation_strings":["Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103084139","display_name":"Joo Kooi Tan","orcid":"https://orcid.org/0000-0001-9611-7139"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Joo Kooi Tan","raw_affiliation_strings":["Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040103126","display_name":"Seiji Ishikawa","orcid":"https://orcid.org/0000-0002-5044-7789"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiji Ishikawa","raw_affiliation_strings":["Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113815135","display_name":"Seiichi Murakami","orcid":null},"institutions":[{"id":"https://openalex.org/I188700360","display_name":"University of Occupational and Environmental Health Japan","ror":"https://ror.org/020p3h829","country_code":"JP","type":"education","lineage":["https://openalex.org/I188700360"]},{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichi Murakami","raw_affiliation_strings":["Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","University of Occupational and Environmental Health, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan","institution_ids":["https://openalex.org/I207014233"]},{"raw_affiliation_string":"University of Occupational and Environmental Health, Kitakyushu, Japan","institution_ids":["https://openalex.org/I188700360"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017101356","display_name":"Takatoshi Aoki","orcid":"https://orcid.org/0000-0002-7973-110X"},"institutions":[{"id":"https://openalex.org/I188700360","display_name":"University of Occupational and Environmental Health Japan","ror":"https://ror.org/020p3h829","country_code":"JP","type":"education","lineage":["https://openalex.org/I188700360"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takatoshi Aoki","raw_affiliation_strings":["University of Occupational and Environmental Health, Kitakyushu, Japan"],"affiliations":[{"raw_affiliation_string":"University of Occupational and Environmental Health, Kitakyushu, Japan","institution_ids":["https://openalex.org/I188700360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113817921"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.27651998,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56141342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1413","last_page":"1417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9987000226974487,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9961000084877014,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7401319742202759},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6930525302886963},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6907286047935486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6638315320014954},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6215758919715881},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.61935955286026},{"id":"https://openalex.org/keywords/subtraction","display_name":"Subtraction","score":0.5430362820625305},{"id":"https://openalex.org/keywords/image-subtraction","display_name":"Image subtraction","score":0.5360366106033325},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.42681100964546204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4203774333000183},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3866383731365204},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2807478904724121},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.17776736617088318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1695554554462433},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.06593263149261475}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7401319742202759},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6930525302886963},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6907286047935486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6638315320014954},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6215758919715881},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.61935955286026},{"id":"https://openalex.org/C68060419","wikidata":"https://www.wikidata.org/wiki/Q40754","display_name":"Subtraction","level":2,"score":0.5430362820625305},{"id":"https://openalex.org/C37672646","wikidata":"https://www.wikidata.org/wiki/Q6002283","display_name":"Image subtraction","level":5,"score":0.5360366106033325},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.42681100964546204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4203774333000183},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3866383731365204},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2807478904724121},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.17776736617088318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1695554554462433},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.06593263149261475},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2012.6377932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6377932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8100000023841858,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1971997700","https://openalex.org/W1980852339","https://openalex.org/W2009544339","https://openalex.org/W2079399768","https://openalex.org/W2096320880","https://openalex.org/W2113576511","https://openalex.org/W2129534965","https://openalex.org/W2141619730","https://openalex.org/W2142311337","https://openalex.org/W2143667750"],"related_works":["https://openalex.org/W2156130696","https://openalex.org/W2050611153","https://openalex.org/W2093013253","https://openalex.org/W1968254755","https://openalex.org/W2330962891","https://openalex.org/W2013855924","https://openalex.org/W1971961143","https://openalex.org/W4251986860","https://openalex.org/W2376188964","https://openalex.org/W2598755044"],"abstract_inverted_index":{"Temporal":[0],"Subtraction":[1],"Technique":[2],"is":[3,50,54,83,91],"one":[4],"of":[5,10,21,32,46,60,87,95,99,109,115,141,148],"effective":[6],"tools":[7],"for":[8],"diagnosis":[9],"lung":[11,66],"cancer":[12],"from":[13],"thoracic":[14,135],"CT":[15],"images.":[16,116],"By":[17],"comparing":[18],"two":[19,48],"images":[20,49],"the":[22,30,44,58,61,88,96,112,118,139],"same":[23],"subject":[24],"but":[25],"shot":[26],"at":[27],"different":[28],"time,":[29],"detection":[31],"temporal":[33],"changing":[34],"becomes":[35],"facilitated.":[36],"To":[37],"acquire":[38],"a":[39,72],"more":[40],"accurate":[41],"subtraction":[42],"image,":[43],"registration":[45,76,126,142],"these":[47],"critical.":[51],"However":[52],"it":[53],"not":[55],"easy":[56],"as":[57,65,122],"influence":[59],"slight":[62],"structures":[63],"such":[64],"blood":[67],"vessel.":[68],"In":[69],"this":[70,107],"paper,":[71],"novel":[73],"nonrigid":[74],"image":[75],"method":[77,130,151],"based":[78],"on":[79],"vessel":[80],"structure":[81,90,101],"information":[82,114],"proposed.":[84],"The":[85,128,146],"similarity":[86,108,123],"vessels":[89,100,110],"defined":[92],"by":[93],"means":[94],"likelihood":[97],"function":[98],"and":[102,138],"their":[103],"direction.":[104],"We":[105],"combine":[106],"with":[111],"intensity":[113],"And":[117],"metrics":[119],"are":[120],"used":[121],"measure":[124],"in":[125],"procedure.":[127],"proposed":[129,150],"has":[131],"been":[132],"applied":[133],"to":[134],"MDCT":[136],"images,":[137],"improvement":[140],"accuracy":[143],"was":[144,152],"investigated.":[145],"efficiency":[147],"our":[149],"indicated.":[153]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
