{"id":"https://openalex.org/W2913237031","doi":"https://doi.org/10.1109/access.2019.2894943","title":"Deformable Cardiovascular Image Registration via Multi-Channel Convolutional Neural Network","display_name":"Deformable Cardiovascular Image Registration via Multi-Channel Convolutional Neural Network","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2913237031","doi":"https://doi.org/10.1109/access.2019.2894943","mag":"2913237031"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2894943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894943","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08633360.pdf","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://ieeexplore.ieee.org/ielx7/6287639/8600701/08633360.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101670070","display_name":"Shaoya Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaoya Guan","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052057753","display_name":"Meng Cai","orcid":"https://orcid.org/0000-0002-0711-5949"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cai Meng","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101562215","display_name":"Yi Xie","orcid":"https://orcid.org/0000-0002-7028-8842"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Xie","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341384","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0003-3462-5458"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053739372","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0003-2281-5051"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Digital Media, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057674506","display_name":"Tianmiao Wang","orcid":"https://orcid.org/0000-0003-3153-7524"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianmiao Wang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101670070"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.399,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88218721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"17524","last_page":"17534"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9993000030517578,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9990000128746033,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7522265911102295},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7336779832839966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7178588509559631},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7053915858268738},{"id":"https://openalex.org/keywords/digital-subtraction-angiography","display_name":"Digital subtraction angiography","score":0.5935910940170288},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.5917702317237854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5120928287506104},{"id":"https://openalex.org/keywords/angiography","display_name":"Angiography","score":0.36666592955589294},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3517584800720215},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20706889033317566},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15807634592056274},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.1525518000125885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522265911102295},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7336779832839966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7178588509559631},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7053915858268738},{"id":"https://openalex.org/C2778286760","wikidata":"https://www.wikidata.org/wiki/Q1224954","display_name":"Digital subtraction angiography","level":3,"score":0.5935910940170288},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.5917702317237854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5120928287506104},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.36666592955589294},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3517584800720215},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20706889033317566},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15807634592056274},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1525518000125885},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2894943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894943","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08633360.pdf","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:doaj.org/article:476f6deef9dd434286391afa55086f20","is_oa":true,"landing_page_url":"https://doaj.org/article/476f6deef9dd434286391afa55086f20","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 7, Pp 17524-17534 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2894943","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2894943","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08633360.pdf","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":[{"display_name":"Good health and well-being","score":0.550000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4470850380","display_name":null,"funder_award_id":"61533016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6343211393","display_name":null,"funder_award_id":"61873010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320320698","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321496","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913237031.pdf","grobid_xml":"https://content.openalex.org/works/W2913237031.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W125199751","https://openalex.org/W1525401561","https://openalex.org/W1533861849","https://openalex.org/W1836465849","https://openalex.org/W1870947790","https://openalex.org/W1965971134","https://openalex.org/W1972344168","https://openalex.org/W1990364567","https://openalex.org/W2000529452","https://openalex.org/W2011095615","https://openalex.org/W2011978761","https://openalex.org/W2039440456","https://openalex.org/W2085726606","https://openalex.org/W2104800411","https://openalex.org/W2108395775","https://openalex.org/W2112521440","https://openalex.org/W2116871808","https://openalex.org/W2126440019","https://openalex.org/W2130428136","https://openalex.org/W2133606340","https://openalex.org/W2136922672","https://openalex.org/W2143272247","https://openalex.org/W2163605009","https://openalex.org/W2272541133","https://openalex.org/W2336590502","https://openalex.org/W2344328023","https://openalex.org/W2407128372","https://openalex.org/W2604343295","https://openalex.org/W2767463438","https://openalex.org/W2950094539","https://openalex.org/W2963406602","https://openalex.org/W3098315580","https://openalex.org/W6605009338","https://openalex.org/W6631943919","https://openalex.org/W6639282920","https://openalex.org/W6684191040","https://openalex.org/W6713666037","https://openalex.org/W6721013650"],"related_works":["https://openalex.org/W2124245542","https://openalex.org/W2410792662","https://openalex.org/W2331987950","https://openalex.org/W2007853748","https://openalex.org/W2170087772","https://openalex.org/W2082302807","https://openalex.org/W2884270309","https://openalex.org/W2381035926","https://openalex.org/W2151112203","https://openalex.org/W2430937403"],"abstract_inverted_index":{"Vascular":[0],"image":[1,44],"registration":[2,45,49,119,159],"is":[3,34,92,145,161],"an":[4],"essential":[5],"approach":[6],"to":[7,154],"combine":[8],"the":[9,37,59,138,179],"advantages":[10],"of":[11,36,62,94,111,121,125,132,137],"preoperative":[12],"3D":[13,106],"computed":[14],"tomography":[15],"angiography":[16,23],"images":[17,25,98,102],"and":[18,32,176],"intraoperative":[19],"2D":[20],"X-ray/digital":[21],"subtraction":[22],"(DSA)":[24],"together.":[26],"Cardiovascular":[27],"deformation":[28],"caused":[29],"by":[30],"heartbeat":[31],"respiration":[33],"one":[35],"most":[38],"vital":[39],"factors":[40],"that":[41,79],"affect":[42],"vascular":[43,86,185],"accuracy.":[46],"Traditional":[47],"optimized-based":[48],"methods":[50,64],"suffer":[51],"severely":[52],"from":[53],"high":[54],"computational":[55],"complexity,":[56],"which":[57],"hinders":[58],"clinical":[60],"applications":[61],"these":[63,68],"seriously.":[65],"To":[66],"overcome":[67],"challenges,":[69],"we":[70],"developed":[71],"a":[72,81,84,109,166],"novel":[73],"multi-channel":[74],"convolutional":[75],"neural":[76],"network":[77],"(MCNN)":[78],"combines":[80],"CNN":[82,168],"with":[83,103],"periodic":[85],"diameter":[87],"variation":[88],"model.":[89,169],"Our":[90,113,170],"method":[91,172],"capable":[93],"registering":[95],"simulated":[96],"DSA":[97,101],"or":[99,150],"real":[100],"their":[104],"corresponding":[105],"models":[107],"in":[108,142,158],"matter":[110],"milliseconds.":[112],"presented":[114,141],"MCNN":[115,139,156,171],"model":[116,140,157],"achieves":[117],"excellent":[118],"results":[120],"three":[122],"different":[123],"kinds":[124],"cardiovascular":[126],"patients.":[127],"The":[128,152],"mean":[129],"absolute":[130],"error":[131],"all":[133],"six":[134],"transformation":[135],"parameters":[136],"this":[143],"paper":[144],"less":[146],"than":[147,163,178],"1":[148],"mm":[149],"1\u00b0.":[151],"improvement":[153],"our":[155],"accuracy":[160],"larger":[162],"75%":[164],"over":[165],"single-channel":[167],"performs":[173],"more":[174],"effectively":[175],"stable":[177],"state-of-the-art":[180],"intensity-based":[181],"methods,":[182],"especially":[183],"when":[184],"deformations":[186],"occur.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
