{"id":"https://openalex.org/W3012133332","doi":"https://doi.org/10.1117/12.2549531","title":"Deep learning based CT-CBCT image registration for adaptive radio therapy","display_name":"Deep learning based CT-CBCT image registration for adaptive radio therapy","publication_year":2020,"publication_date":"2020-03-10","ids":{"openalex":"https://openalex.org/W3012133332","doi":"https://doi.org/10.1117/12.2549531","mag":"3012133332"},"language":"en","primary_location":{"id":"doi:10.1117/12.2549531","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","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/A5091733645","display_name":"Sven Kuckertz","orcid":"https://orcid.org/0000-0002-4374-0880"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sven Kuckertz","raw_affiliation_strings":["Fraunhofer Institute for Digital Medicine MEVIS (Germany)"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Digital Medicine MEVIS (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068323578","display_name":"Nils Papenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nils Papenberg","raw_affiliation_strings":["Fraunhofer Institute for Digital Medicine MEVIS (Germany)"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Digital Medicine MEVIS (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070488220","display_name":"Jonas Honegger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150834","display_name":"Varian Medical Systems (Switzerland)","ror":"https://ror.org/049tb1q96","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210150834","https://openalex.org/I46603895"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jonas Honegger","raw_affiliation_strings":["Varian Medical Systems (Switzerland)"],"affiliations":[{"raw_affiliation_string":"Varian Medical Systems (Switzerland)","institution_ids":["https://openalex.org/I4210150834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070179399","display_name":"Tomasz Morga\u015b","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150834","display_name":"Varian Medical Systems (Switzerland)","ror":"https://ror.org/049tb1q96","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210150834","https://openalex.org/I46603895"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Tomasz Morgas","raw_affiliation_strings":["Varian Medical Systems (Switzerland)"],"affiliations":[{"raw_affiliation_string":"Varian Medical Systems (Switzerland)","institution_ids":["https://openalex.org/I4210150834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020345741","display_name":"Benjamin de Haas","orcid":"https://orcid.org/0000-0003-1722-7757"},"institutions":[{"id":"https://openalex.org/I4210150834","display_name":"Varian Medical Systems (Switzerland)","ror":"https://ror.org/049tb1q96","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210150834","https://openalex.org/I46603895"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Benjamin Haas","raw_affiliation_strings":["Varian Medical Systems (Switzerland)"],"affiliations":[{"raw_affiliation_string":"Varian Medical Systems (Switzerland)","institution_ids":["https://openalex.org/I4210150834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001706294","display_name":"Stefan Heldmann","orcid":"https://orcid.org/0000-0002-9206-2086"},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Heldmann","raw_affiliation_strings":["Fraunhofer Institute for Digital Medicine MEVIS (Germany)"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Digital Medicine MEVIS (Germany)","institution_ids":["https://openalex.org/I4210137873"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091733645"],"corresponding_institution_ids":["https://openalex.org/I4210137873"],"apc_list":null,"apc_paid":null,"fwci":0.4405,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65622617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994999766349792,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994999766349792,"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/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/T14510","display_name":"Medical Imaging and Analysis","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7728286981582642},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.7559177875518799},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650692224502563},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6340761184692383},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6282033920288086},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5307735800743103},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45618927478790283},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4522819519042969},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4261000454425812},{"id":"https://openalex.org/keywords/cone-beam-computed-tomography","display_name":"Cone beam computed tomography","score":0.41513410210609436},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32745760679244995},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.27997899055480957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1565171480178833},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12499687075614929},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09198394417762756}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7728286981582642},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7559177875518799},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650692224502563},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6340761184692383},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6282033920288086},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5307735800743103},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45618927478790283},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4522819519042969},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4261000454425812},{"id":"https://openalex.org/C2779813781","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam computed tomography","level":3,"score":0.41513410210609436},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32745760679244995},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.27997899055480957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1565171480178833},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12499687075614929},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09198394417762756}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2549531","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2549531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-614851","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-614851.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer MEVIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/409810","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/409810","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2471562626","https://openalex.org/W2461863667","https://openalex.org/W2295804706","https://openalex.org/W3168515805"],"abstract_inverted_index":{"While":[0],"deep":[1,88,205,234],"learning":[2,89,206,235],"based":[3,207,236],"methods":[4,20],"for":[5,21,91,118],"medical":[6],"deformable":[7,93],"image":[8,52,109,182],"registration":[9,53,194,201,213,227],"have":[10],"recently":[11],"shown":[12],"significant":[13],"advances":[14],"in":[15,23,40,54,100],"both":[16],"speed":[17],"and":[18,38,63,73,111,123,144,150,176,187,219],"accuracy,":[19],"use":[22],"radio":[24,55],"therapy":[25,56],"are":[26],"still":[27],"rarely":[28],"proposed":[29],"due":[30],"to":[31,58,70,76,105,168,191,211],"several":[32],"challenges":[33],"such":[34],"as":[35,148,221,223],"low":[36],"contrast":[37],"artifacts":[39],"cone":[41],"beam":[42],"CT":[43,62,143],"(CBCT)":[44],"images":[45,147],"or":[46],"extreme":[47,137],"deformations.":[48,138],"The":[49],"aim":[50],"of":[51,121,130,136,166,184,203],"is":[57,160,209],"align":[59],"a":[60,86,98,112,116,145],"baseline":[61],"low-dose":[64],"CBCT":[65,146],"images,":[66],"which":[67],"allows":[68],"contours":[69],"be":[71,77],"propagated":[72],"applied":[74],"doses":[75],"tracked":[78],"over":[79],"time.":[80],"To":[81],"this":[82],"end,":[83],"we":[84,126],"present":[85],"novel":[87],"method":[90,140,159,179,237],"multi-modal":[92],"CT-CBCT":[94],"registration.":[95],"We":[96,174],"train":[97,175],"CNN":[99],"weakly":[101],"supervised":[102],"manner,":[103],"aiming":[104],"optimize":[106],"an":[107],"edge-based":[108],"similarity":[110],"deformation":[113,171],"regularizer":[114],"including":[115],"penalty":[117],"local":[119],"changes":[120],"topology":[122],"foldings.":[124],"Additionally,":[125],"measure":[127],"the":[128,134,164,185,200,244],"alignment":[129],"given":[131],"segmentations,":[132],"facing":[133],"problem":[135],"Our":[139,196],"receives":[141],"only":[142],"input":[149],"uses":[151],"groundtruth":[152],"segmentations":[153,218],"exclusively":[154],"during":[155],"training.":[156],"Furthermore,":[157,232],"our":[158,178,189,204,233],"not":[161],"dependent":[162],"on":[163,180],"availability":[165],"difficult":[167],"access":[169],"ground-truth":[170,230],"vector":[172],"fields.":[173],"evaluate":[177],"follow-up":[181],"pairs":[183],"pelvis":[186],"compare":[188],"results":[190],"conventional":[192],"iterative":[193,212,224,245],"algorithms.":[195],"experiments":[197],"show":[198],"that":[199,228],"accuracy":[202],"approach":[208],"superior":[210],"without":[214],"additional":[215],"guidance":[216],"by":[217],"nearly":[220],"good":[222],"structure":[225],"guided":[226],"requires":[229],"segmentations.":[231],"runs":[238],"approximately":[239],"100":[240],"times":[241],"faster":[242],"than":[243],"methods.":[246]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-03-23T00:00:00"}
