{"id":"https://openalex.org/W2856827298","doi":"https://doi.org/10.1109/access.2018.2855060","title":"A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images","display_name":"A Hybrid Active Contour Segmentation Method for Myocardial D-SPECT Images","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2856827298","doi":"https://doi.org/10.1109/access.2018.2855060","mag":"2856827298"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2855060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2855060","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2855060","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009018575","display_name":"Chenxi Huang","orcid":"https://orcid.org/0000-0002-2100-0259"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenxi Huang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043394632","display_name":"Xiaoying Shan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092870","display_name":"Jiaxing University","ror":"https://ror.org/00j2a7k55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Shan","raw_affiliation_strings":["Normal College, Jiaxing University, Jiaxing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Normal College, Jiaxing University, Jiaxing, China","institution_ids":["https://openalex.org/I4210092870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011103836","display_name":"Yisha Lan","orcid":"https://orcid.org/0000-0003-4675-4767"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yisha Lan","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771922","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-1352-421X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["Department of Cardiology, Tongji University School of Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Tongji University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109293317","display_name":"Haidong Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Cai","raw_affiliation_strings":["Department of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine, Tongji University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025585958","display_name":"Wenliang Che","orcid":"https://orcid.org/0000-0002-8840-5437"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenliang Che","raw_affiliation_strings":["Department of Cardiology, Tongji University School of Medicine, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiology, Tongji University School of Medicine, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104929087","display_name":"Yongtao Hao","orcid":"https://orcid.org/0000-0001-8476-1285"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongtao Hao","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076282777","display_name":"Yongqiang Cheng","orcid":"https://orcid.org/0000-0001-7282-7638"},"institutions":[{"id":"https://openalex.org/I191240316","display_name":"University of Hull","ror":"https://ror.org/04nkhwh30","country_code":"GB","type":"education","lineage":["https://openalex.org/I191240316"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yongqiang Cheng","raw_affiliation_strings":["School of Engineering and Computer Science, University of Hull, Hull, U.K"],"raw_orcid":"https://orcid.org/0000-0001-7282-7638","affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, University of Hull, Hull, U.K","institution_ids":["https://openalex.org/I191240316"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023330203","display_name":"Yonghong Peng","orcid":"https://orcid.org/0000-0002-5508-1819"},"institutions":[{"id":"https://openalex.org/I5728261","display_name":"University of Sunderland","ror":"https://ror.org/04p55hr04","country_code":"GB","type":"education","lineage":["https://openalex.org/I5728261"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yonghong Peng","raw_affiliation_strings":["Faculty of Computer Science, University of Sunderland, Sunderland, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of Sunderland, Sunderland, U.K","institution_ids":["https://openalex.org/I5728261"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5009018575"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9085,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.89927197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"39334","last_page":"39343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9969000220298767,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9945999979972839,"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/active-contour-model","display_name":"Active contour model","score":0.7653741836547852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6342393755912781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6313666105270386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6121237874031067},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.526881754398346},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5147014260292053},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3318122625350952}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7653741836547852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6342393755912781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6313666105270386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6121237874031067},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.526881754398346},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5147014260292053},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3318122625350952}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2018.2855060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2855060","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:hull-repository.worktribe.com:937873","is_oa":true,"landing_page_url":"https://hull-repository.worktribe.com/file/937873/1/Article","pdf_url":"https://hull-repository.worktribe.com/output/937873","source":{"id":"https://openalex.org/S4306400827","display_name":"Repository@Hull (Worktribe) (University of Hull)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I191240316","host_organization_name":"University of Hull","host_organization_lineage":["https://openalex.org/I191240316"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:05c844a423804c2a86aa985eed062a29","is_oa":true,"landing_page_url":"https://doaj.org/article/05c844a423804c2a86aa985eed062a29","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 39334-39343 (2018)","raw_type":"article"},{"id":"pmh:oai:sure.sunderland.ac.uk:10174","is_oa":false,"landing_page_url":"http://sure.sunderland.ac.uk/id/eprint/10174/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402295","display_name":"Sunderland Repository (University of Sunderland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5728261","host_organization_name":"University of Sunderland","host_organization_lineage":["https://openalex.org/I5728261"],"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":"PeerReviewed"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2855060","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2855060","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6899999976158142,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1354163077","display_name":null,"funder_award_id":"81500381","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3063170875","display_name":null,"funder_award_id":"81670403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6644277875","display_name":null,"funder_award_id":"81201069","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W66352275","https://openalex.org/W1492691595","https://openalex.org/W1589124700","https://openalex.org/W1672388334","https://openalex.org/W1971923777","https://openalex.org/W1989135034","https://openalex.org/W1998259955","https://openalex.org/W2022086052","https://openalex.org/W2071536971","https://openalex.org/W2099290282","https://openalex.org/W2104095591","https://openalex.org/W2116040950","https://openalex.org/W2117271072","https://openalex.org/W2147484997","https://openalex.org/W2148395215","https://openalex.org/W2154755326","https://openalex.org/W2155343350","https://openalex.org/W2162837059","https://openalex.org/W2167354555","https://openalex.org/W2293435967","https://openalex.org/W2335187439","https://openalex.org/W2537533579","https://openalex.org/W2591232542","https://openalex.org/W2741033153","https://openalex.org/W3100146037","https://openalex.org/W3211330693","https://openalex.org/W6729237563"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2365596436","https://openalex.org/W163453029","https://openalex.org/W2083612662","https://openalex.org/W1522196789","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W4388208420"],"abstract_inverted_index":{"The":[0,171],"ischaemic":[1],"heart":[2,38],"disease":[3],"has":[4],"become":[5],"one":[6,79],"of":[7,11,45,62,80,198],"the":[8,30,81,108,125,129,153,168,181,196],"leading":[9],"causes":[10],"mortality":[12],"worldwide.":[13],"Dynamic":[14],"single-photon":[15],"emission":[16],"computed":[17],"tomography":[18],"(D-SPECT)":[19],"is":[20,48,68,78,88,113,121,138,157],"an":[21],"advanced":[22],"routine":[23],"diagnostic":[24],"tool":[25],"commonly":[26],"used":[27,158],"to":[28,59,128,159,167,201],"validate":[29],"myocardial":[31,46,54,63,109,204],"function":[32,137,164],"in":[33,50,72,84,140,147],"patients":[34],"suffering":[35],"from":[36],"various":[37],"diseases.":[39],"Accurate":[40],"automatic":[41],"localization":[42],"and":[43,56,87,93,176,186,192],"segmentation":[44,67,86],"regions":[47],"helpful":[49],"creating":[51],"a":[52,69,99,116,132,141,148,161],"3-D":[53],"model":[55,104,185],"assisting":[57],"clinicians":[58],"perform":[60],"assessments":[61],"function.":[64],"Thus,":[65],"image":[66,85,91,111,120,135,188],"key":[70],"technology":[71],"preclinical":[73],"cardiac":[74],"studies.":[75],"Intensity":[76],"inhomogeneity":[77],"common":[82],"challenges":[83],"caused":[89],"by":[90,179],"artifacts":[92],"instrument":[94],"inaccuracy.":[95],"In":[96],"this":[97],"paper,":[98],"novel":[100],"region-based":[101,118],"active":[102],"contour":[103],"that":[105],"can":[106,194],"segment":[107],"D-SPECT":[110,205],"accurately":[112],"presented.":[114],"First,":[115],"local":[117,142,187],"fitting":[119,134,183,189],"defined":[122],"based":[123],"on":[124],"information":[126],"related":[127],"intensity.":[130],"Second,":[131],"likelihood":[133],"energy":[136,163,184,190],"built":[139],"region":[143],"around":[144],"each":[145],"point":[146],"given":[149],"vector-valued":[150],"image.":[151],"Next,":[152],"level":[154],"set":[155],"method":[156],"present":[160],"global":[162],"with":[165],"respect":[166],"neighborhood":[169],"center.":[170],"proposed":[172],"approach":[173],"guarantees":[174],"precision":[175],"computational":[177],"efficiency":[178],"combining":[180],"region-scalable":[182],"model,":[191],"it":[193],"solve":[195],"issue":[197],"high":[199],"sensitivity":[200],"initialization":[202],"for":[203],"segmentation.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
