{"id":"https://openalex.org/W4362487928","doi":"https://doi.org/10.1117/12.2654112","title":"Deformable image registration of chest CT using deep cycle network","display_name":"Deformable image registration of chest CT using deep cycle network","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362487928","doi":"https://doi.org/10.1117/12.2654112"},"language":"en","primary_location":{"id":"doi:10.1117/12.2654112","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling","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/A5071968661","display_name":"Luke A. Matkovic","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luke Matkovic","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011903902","display_name":"Yang Lei","orcid":"https://orcid.org/0000-0002-3572-0345"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Lei","raw_affiliation_strings":["The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103918405","display_name":"Yabo Fu","orcid":"https://orcid.org/0000-0001-7301-1980"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yabo Fu","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049656223","display_name":"Tonghe Wang","orcid":"https://orcid.org/0000-0001-9021-1204"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tonghe Wang","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079930078","display_name":"Aparna H. Kesarwala","orcid":"https://orcid.org/0000-0001-8297-9643"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aparna Kesarwala","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039150049","display_name":"Marian Axente","orcid":"https://orcid.org/0000-0002-3572-1137"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marian Axente","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108367355","display_name":"Justin Roper","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin Roper","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080256711","display_name":"Kristin Higgins","orcid":"https://orcid.org/0000-0003-1496-9878"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristin Higgins","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002507883","display_name":"Jeffrey D. Bradley","orcid":"https://orcid.org/0000-0003-3047-3151"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey D. Bradley","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365649","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-2906-5110"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Liu","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory Univ. (United States)","The Winship Cancer Institute of Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"The Winship Cancer Institute of Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5071968661"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03741947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"65","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9979000091552734,"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":0.9919999837875366,"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/image-registration","display_name":"Image registration","score":0.7676100730895996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6856467723846436},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6474580764770508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6455710530281067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44977566599845886}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7676100730895996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6856467723846436},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6474580764770508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455710530281067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44977566599845886}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2654112","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2654112","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W2065319605","https://openalex.org/W2072211586","https://openalex.org/W2075559423","https://openalex.org/W2132352533","https://openalex.org/W2645975367","https://openalex.org/W2784221880","https://openalex.org/W3007763359","https://openalex.org/W3013056581","https://openalex.org/W3018159726","https://openalex.org/W3092614481","https://openalex.org/W3136762441","https://openalex.org/W4200409436","https://openalex.org/W4229875160","https://openalex.org/W4231428599","https://openalex.org/W4249533909","https://openalex.org/W4312154588"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747"],"abstract_inverted_index":{"This":[0],"study":[1],"aims":[2],"to":[3,9,36,86,101,113,133,145,189],"develop":[4],"a":[5,33,48,61,66,221],"deep":[6,172],"learning":[7],"method":[8,46,152,169,223],"effectively":[10],"consider":[11],"respiratory":[12],"motion":[13],"for":[14,21,192,201,224],"the":[15,81,88,103,109,116,127,130,147,150,157,161,176,202,211],"generation":[16],"of":[17,27,56,105,129,149,181,199,215,227],"realistic":[18,225],"dose-volume":[19],"histograms":[20],"more":[22],"accurate":[23],"and":[24,29,64,68,74,79,98,184,213],"efficient":[25],"propagation":[26],"organ":[28],"tumor":[30],"contours":[31],"from":[32],"target":[34,75],"phase":[35,58],"all":[37],"phases":[38,228],"in":[39,60,156,179,229],"lung":[40,231],"4DCT":[41,63,230],"patient":[42],"datasets.":[43,232],"Our":[44],"proposed":[45,151,168,217],"is":[47,93],"platform":[49],"that":[50],"performs":[51],"Deformable":[52],"Image":[53],"Registration":[54,164],"(DIR)":[55],"individual":[57],"datasets":[59,178,204],"simulation":[62],"comprises":[65],"generator":[67,71,92,117],"discriminator.":[69],"The":[70,91,123,167,197],"accepts":[72],"moving":[73],"CTs":[76],"as":[77],"input":[78],"outputs":[80],"Deformation":[82],"Vector":[83],"Fields":[84],"(DVFs)":[85],"match":[87],"two":[89],"CTs.":[90],"optimized":[94],"during":[95],"both":[96],"forward":[97],"backward":[99],"paths":[100],"enhance":[102],"bidirectionality":[104],"DVF":[106,136],"generation.":[107],"Further,":[108],"landmarks":[110],"are":[111],"used":[112,144],"weakly":[114],"supervise":[115],"network,":[118],"specifically":[119],"through":[120],"landmark-driven":[121,185],"loss.":[122],"discriminator":[124],"then":[125],"judges":[126],"realism":[128],"deformed":[131],"CT":[132],"provide":[134],"extra":[135],"regularization.":[137],"A":[138],"publicly":[139],"available":[140],"DIR-Lab":[141,162,177,203],"dataset":[142],"was":[143,205],"evaluate":[146],"performance":[148],"against":[153],"other":[154,171],"methods":[155,174],"literature":[158],"by":[159],"calculating":[160],"Target":[163],"Error":[165],"(TRE).":[166],"outperformed":[170],"learning-based":[173],"on":[175],"terms":[180],"TRE.":[182],"Bi-directional":[183],"loss":[186],"were":[187],"shown":[188],"be":[190],"effective":[191],"obtaining":[193],"high":[194],"registration":[195,226],"accuracy.":[196],"mean":[198],"TRE":[200],"1.03\u00b10.66":[206],"mm.":[207],"These":[208],"results":[209],"demonstrated":[210],"feasibility":[212],"efficacy":[214],"our":[216],"method,":[218],"which":[219],"provides":[220],"potential":[222]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
