{"id":"https://openalex.org/W2920911464","doi":"https://doi.org/10.1117/12.2512980","title":"Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction","display_name":"Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2920911464","doi":"https://doi.org/10.1117/12.2512980","mag":"2920911464"},"language":"en","primary_location":{"id":"doi:10.1117/12.2512980","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: 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/A5027587968","display_name":"Frederic Madesta","orcid":"https://orcid.org/0000-0001-8987-7690"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I4210108711","display_name":"University Medical Center Hamburg-Eppendorf","ror":"https://ror.org/01zgy1s35","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Frederic Madesta","raw_affiliation_strings":["Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028360498","display_name":"Tobias Gauer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108711","display_name":"University Medical Center Hamburg-Eppendorf","ror":"https://ror.org/01zgy1s35","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]},{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Gauer","raw_affiliation_strings":["Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075582704","display_name":"Thilo Sentker","orcid":"https://orcid.org/0000-0001-6663-0003"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I4210108711","display_name":"University Medical Center Hamburg-Eppendorf","ror":"https://ror.org/01zgy1s35","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thilo Sentker","raw_affiliation_strings":["Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010196512","display_name":"Ren\u00e9 Werner","orcid":"https://orcid.org/0000-0002-2296-3305"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I4210108711","display_name":"University Medical Center Hamburg-Eppendorf","ror":"https://ror.org/01zgy1s35","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ren\u00e9 Werner","raw_affiliation_strings":["Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4tsklinikum Hamburg-Eppendorf (Germany)","institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027587968"],"corresponding_institution_ids":["https://openalex.org/I159176309","https://openalex.org/I4210108711"],"apc_list":null,"apc_paid":null,"fwci":0.9013,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73214286,"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":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10358","display_name":"Advanced Radiotherapy Techniques","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9990000128746033,"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/boosting","display_name":"Boosting (machine learning)","score":0.8024662137031555},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7226095795631409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6925932168960571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6324561834335327},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6225691437721252},{"id":"https://openalex.org/keywords/cone-beam-computed-tomography","display_name":"Cone beam computed tomography","score":0.6002009510993958},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5698886513710022},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5128076672554016},{"id":"https://openalex.org/keywords/cone-beam-ct","display_name":"Cone beam ct","score":0.44463613629341125},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44141221046447754},{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.386663019657135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2304002344608307},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12311601638793945},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12195250391960144}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8024662137031555},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7226095795631409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6925932168960571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6324561834335327},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6225691437721252},{"id":"https://openalex.org/C2779813781","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam computed tomography","level":3,"score":0.6002009510993958},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5698886513710022},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5128076672554016},{"id":"https://openalex.org/C3018399558","wikidata":"https://www.wikidata.org/wiki/Q1224951","display_name":"Cone beam ct","level":3,"score":0.44463613629341125},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44141221046447754},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.386663019657135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2304002344608307},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12311601638793945},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12195250391960144},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2512980","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2512980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2019: Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1993563199","https://openalex.org/W2020061308","https://openalex.org/W2034905155","https://openalex.org/W2093613106","https://openalex.org/W2127480863","https://openalex.org/W2157812230","https://openalex.org/W2792765328","https://openalex.org/W2964350391","https://openalex.org/W6655210343","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W2559007626","https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520"],"abstract_inverted_index":{"Inter-fractional":[0],"magnitude":[1],"and":[2,21,88],"trajectory":[3],"changes":[4],"are":[5,114],"of":[6,12,23],"great":[7],"importance":[8],"for":[9,70],"radiotherapy":[10],"(RT)":[11],"moving":[13],"targets.":[14],"In":[15,61],"order":[16],"to":[17,28,44,91],"verify":[18],"the":[19,48,99],"amount":[20],"characteristics":[22],"patient-specific":[24],"respiratory":[25],"motion":[26],"prior":[27],"each":[29],"RT":[30],"treatment":[31],"session,":[32],"a":[33,64],"time-resolved":[34],"cone-beam":[35],"computed":[36],"tomography":[37],"(4D":[38],"CBCT)":[39],"is":[40,52,74,89,96,103],"necessary.":[41],"However,":[42],"due":[43],"sparse":[45,110],"view":[46,111],"artifacts,":[47],"resulting":[49],"image":[50,101],"quality":[51,102],"limited":[53],"when":[54],"applying":[55],"current":[56],"4D":[57,71,85],"CBCT":[58,72],"reconstruction":[59,73,93],"approaches.":[60],"this":[62],"study,":[63],"new":[65],"deep":[66],"learning-based":[67],"boosting":[68],"approach":[69],"presented":[75],"that":[76,98],"does":[77],"not":[78],"rely":[79],"on":[80],"any":[81],"a-priori":[82],"information":[83],"(e.g.":[84],"CT":[86],"images)":[87],"applicable":[90],"arbitrary":[92],"algorithms.":[94],"It":[95],"shown":[97],"overall":[100],"significantly":[104],"improved":[105],"after":[106],"boosting;":[107],"in":[108],"particular,":[109],"sampling":[112],"artifacts":[113],"suppressed.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
