{"id":"https://openalex.org/W3130493884","doi":"https://doi.org/10.1117/12.2581083","title":"Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy","display_name":"Deep learning-based deformable image registration of inter-fraction CBCT images for adaptive radiation therapy","publication_year":2021,"publication_date":"2021-02-13","ids":{"openalex":"https://openalex.org/W3130493884","doi":"https://doi.org/10.1117/12.2581083","mag":"3130493884"},"language":"en","primary_location":{"id":"doi:10.1117/12.2581083","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077595417","display_name":"Huiqiao Xie","orcid":"https://orcid.org/0000-0002-1146-2134"},"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":"Huiqiao Xie","raw_affiliation_strings":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"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/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)"],"raw_orcid":null,"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/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":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"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":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"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/A5001823365","display_name":"Xiangyang Tang","orcid":"https://orcid.org/0000-0003-0631-4898"},"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":"Xiangyang Tang","raw_affiliation_strings":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"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/A5026088869","display_name":"Walter J. Curran","orcid":"https://orcid.org/0000-0002-7552-4453"},"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":"Walter J. Curran","raw_affiliation_strings":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"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/A5024852113","display_name":"Pretesh Patel","orcid":"https://orcid.org/0000-0002-3522-1204"},"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":"Pretesh Patel","raw_affiliation_strings":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"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/A5100365653","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-5810-4318"},"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":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"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":["The Winship Cancer Institute of Emory Univ. (United States)"],"raw_orcid":null,"affiliations":[{"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.8942,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70149968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"86"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9975000023841858,"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":0.9975000023841858,"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":0.995199978351593,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.989300012588501,"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":0.7880405187606812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7064317464828491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6542875170707703},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6467140913009644},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.47881656885147095},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.43655166029930115},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40505293011665344},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15008136630058289},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11082422733306885}],"concepts":[{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7880405187606812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7064317464828491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6542875170707703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6467140913009644},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.47881656885147095},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.43655166029930115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40505293011665344},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15008136630058289},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11082422733306885},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2581083","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2581083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2021: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W178140751","https://openalex.org/W1191014223","https://openalex.org/W1137063513","https://openalex.org/W2355955825","https://openalex.org/W2056534599","https://openalex.org/W4206801305","https://openalex.org/W2382476776","https://openalex.org/W4387682966","https://openalex.org/W3093605827","https://openalex.org/W590438032"],"abstract_inverted_index":{"Cone-beam":[0],"computed":[1],"tomography":[2],"(CBCT)":[3],"has":[4,115],"been":[5],"widely":[6],"used":[7],"in":[8,21,30,118],"image-guided":[9],"radiation":[10,32,126],"therapy.":[11,33,127],"Deformable":[12],"image":[13,64,83],"registration":[14,110],"(DIR)":[15],"among":[16],"inter-fraction":[17,81],"CBCTs":[18],"is":[19],"essential":[20],"order":[22],"to":[23],"evaluate":[24,86],"the":[25,35,42,60,87,104,120],"geometric":[26],"and":[27,55,62],"anatomic":[28],"changes":[29,123],"adaptive":[31,125],"However,":[34],"bulky":[36],"data":[37],"size":[38],"and,":[39],"more":[40],"importantly,":[41],"poor":[43],"quality":[44],"of":[45,91,112],"CBCT":[46,82,93],"images,":[47],"such":[48],"as":[49],"scattering/beam":[50],"hardening":[51],"artifacts,":[52],"motion":[53],"artifacts":[54],"CT":[56],"number":[57],"inaccuracy,":[58],"impedes":[59],"fast":[61],"accurate":[63],"registration.":[65,84],"In":[66],"this":[67],"study,":[68],"we":[69],"propose":[70],"a":[71],"novel":[72],"unsupervised":[73],"spatial":[74],"transformation":[75],"network":[76],"(STN)-based":[77],"DIR":[78],"method":[79],"for":[80,124],"To":[85],"proposed":[88,105],"method,":[89,106],"datasets":[90],"abdominal":[92],"patient":[94],"images":[95],"are":[96],"retrospectively":[97],"investigated.":[98],"The":[99],"preliminary":[100],"results":[101],"show":[102],"that":[103],"with":[107],"average":[108],"target":[109],"error":[111],"2.91&plusmn;1.16":[113],"mm,":[114],"great":[116],"potential":[117],"quantifying":[119],"daily":[121],"anatomy":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
