{"id":"https://openalex.org/W4376851193","doi":"https://doi.org/10.1109/tim.2023.3276030","title":"A Deep-Learning-Based Method for Correction of Bone-Induced CT Beam-Hardening Artifacts","display_name":"A Deep-Learning-Based Method for Correction of Bone-Induced CT Beam-Hardening Artifacts","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4376851193","doi":"https://doi.org/10.1109/tim.2023.3276030"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3276030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3276030","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5007565319","display_name":"Xu Ji","orcid":"https://orcid.org/0000-0001-7901-5253"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Ji","raw_affiliation_strings":["Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","The School of Computer Science and Engineering, Laboratory of Image Science and Technology, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7901-5253","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"The School of Computer Science and Engineering, Laboratory of Image Science and Technology, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054403175","display_name":"Da-Zhi Gao","orcid":"https://orcid.org/0000-0002-9734-6918"},"institutions":[{"id":"https://openalex.org/I2799773085","display_name":"Nanjing General Hospital of Nanjing Military Command","ror":"https://ror.org/04kmpyd03","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2799773085"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazhi Gao","raw_affiliation_strings":["Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9734-6918","affiliations":[{"raw_affiliation_string":"Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915","https://openalex.org/I2799773085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101911807","display_name":"Y. Gan","orcid":"https://orcid.org/0009-0000-9332-9507"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Gan","raw_affiliation_strings":["Laboratory of Image Science and Technology and the School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-9332-9507","affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology and the School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629918","display_name":"Yikun Zhang","orcid":"https://orcid.org/0000-0002-4048-4869"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikun Zhang","raw_affiliation_strings":["Laboratory of Image Science and Technology and the School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4048-4869","affiliations":[{"raw_affiliation_string":"Laboratory of Image Science and Technology and the School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050645206","display_name":"Yan Xi","orcid":"https://orcid.org/0000-0001-6143-3107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Xi","raw_affiliation_strings":["Jiangsu First-Imaging Medical Equipment Company Ltd., Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-6143-3107","affiliations":[{"raw_affiliation_string":"Jiangsu First-Imaging Medical Equipment Company Ltd., Jiangsu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033344283","display_name":"Guotao Quan","orcid":"https://orcid.org/0000-0002-1079-0718"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotao Quan","raw_affiliation_strings":["CT RPA Department, United Imaging Healthcare Company Ltd., Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1079-0718","affiliations":[{"raw_affiliation_string":"CT RPA Department, United Imaging Healthcare Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009586297","display_name":"Zhikai Lu","orcid":"https://orcid.org/0000-0002-7941-8893"},"institutions":[{"id":"https://openalex.org/I4210164142","display_name":"Ningbo No.6 Hospital","ror":"https://ror.org/054qnke07","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164142"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhikai Lu","raw_affiliation_strings":["Department of Orthopedics, No. 906 Hospital of Joint Logistic Support Force of PLA, Ningbo, Zhejiang, China","Department of Orthopedics, No. 906 Hospital of Joint Logistic Support Force of PLA, 377 Zhongshan East Road, Ningbo, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-7941-8893","affiliations":[{"raw_affiliation_string":"Department of Orthopedics, No. 906 Hospital of Joint Logistic Support Force of PLA, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4210164142"]},{"raw_affiliation_string":"Department of Orthopedics, No. 906 Hospital of Joint Logistic Support Force of PLA, 377 Zhongshan East Road, Ningbo, Zhejiang, China","institution_ids":["https://openalex.org/I4210164142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350437","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0002-5660-6349"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","The School of Computer Science and Engineering, Laboratory of Image Science and Technology, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5660-6349","affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"The School of Computer Science and Engineering, Laboratory of Image Science and Technology, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8748,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.69224789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":1.0,"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"}},{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9997000098228455,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.6460222005844116},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5557448863983154},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5381719470024109},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5201054811477661},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5074295401573181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4993467330932617},{"id":"https://openalex.org/keywords/hardening","display_name":"Hardening (computing)","score":0.4783287048339844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47699978947639465},{"id":"https://openalex.org/keywords/attenuation-coefficient","display_name":"Attenuation coefficient","score":0.46321019530296326},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4157556891441345},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3733042776584625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3467409014701843},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.275886595249176},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24928390979766846}],"concepts":[{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6460222005844116},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5557448863983154},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5381719470024109},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5201054811477661},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5074295401573181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4993467330932617},{"id":"https://openalex.org/C44255700","wikidata":"https://www.wikidata.org/wiki/Q978423","display_name":"Hardening (computing)","level":3,"score":0.4783287048339844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47699978947639465},{"id":"https://openalex.org/C159774933","wikidata":"https://www.wikidata.org/wiki/Q902086","display_name":"Attenuation coefficient","level":2,"score":0.46321019530296326},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4157556891441345},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3733042776584625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3467409014701843},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.275886595249176},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24928390979766846},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3276030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3276030","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G6592847144","display_name":null,"funder_award_id":"T2225025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8171676995","display_name":null,"funder_award_id":"BK20220825","funder_id":"https://openalex.org/F4320313574","funder_display_name":"Jiangsu Province Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320313574","display_name":"Jiangsu Province Postdoctoral Science Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1944106919","https://openalex.org/W1969726300","https://openalex.org/W1972037630","https://openalex.org/W1973203270","https://openalex.org/W1975061714","https://openalex.org/W1975563492","https://openalex.org/W2000441297","https://openalex.org/W2016827952","https://openalex.org/W2018562406","https://openalex.org/W2039698779","https://openalex.org/W2087099103","https://openalex.org/W2098494036","https://openalex.org/W2110594768","https://openalex.org/W2113473141","https://openalex.org/W2128425910","https://openalex.org/W2154280873","https://openalex.org/W2159840967","https://openalex.org/W2168730277","https://openalex.org/W2584483805","https://openalex.org/W2593200160","https://openalex.org/W2753044865","https://openalex.org/W2784480683","https://openalex.org/W2963891322","https://openalex.org/W2964335577","https://openalex.org/W2972491395","https://openalex.org/W2999942426","https://openalex.org/W3011375157","https://openalex.org/W3022143182","https://openalex.org/W3096461526","https://openalex.org/W3103454039","https://openalex.org/W3111960529","https://openalex.org/W3124491415","https://openalex.org/W3156941979","https://openalex.org/W3165135268","https://openalex.org/W3176647595","https://openalex.org/W3181191415","https://openalex.org/W3196786996","https://openalex.org/W3213236098","https://openalex.org/W4205881135","https://openalex.org/W4210251949","https://openalex.org/W4210704094","https://openalex.org/W4306407394","https://openalex.org/W4312730028","https://openalex.org/W6734359964","https://openalex.org/W6789093004"],"related_works":["https://openalex.org/W1972843425","https://openalex.org/W2017440862","https://openalex.org/W2111253917","https://openalex.org/W2081357658","https://openalex.org/W1983828010","https://openalex.org/W2381193396","https://openalex.org/W2362035597","https://openalex.org/W2066020861","https://openalex.org/W3161045350","https://openalex.org/W2507321801"],"abstract_inverted_index":{"The":[0],"x-ray":[1,8],"attenuation":[2,27],"coefficients":[3,28],"generally":[4],"decrease":[5],"as":[6],"the":[7,21,26,48,75,86,89,94,98,110,118,122,139,143],"energy":[9,30],"increases,":[10],"which":[11,84],"leads":[12],"to":[13,20,46,72,108],"beam":[14,53],"hardening":[15,54],"artifacts":[16],"in":[17,36,146],"CT.":[18],"Due":[19],"difference":[22],"of":[23,25,88,97],"dependence":[24],"on":[29,59,127],"for":[31],"soft":[32],"tissue":[33],"and":[34,63,67,113,121,134,149],"bone":[35],"human":[37],"body,":[38],"a":[39,79],"simple":[40],"water":[41],"precorrection":[42],"procedure":[43],"was":[44],"unable":[45],"correct":[47,74],"bone-induced":[49],"artifacts.":[50,76],"Conventional":[51],"empirical":[52,60,95],"correction":[55],"(EBHC)":[56],"method":[57,100,112,120,141],"reply":[58],"image":[61],"segmentation":[62],"data":[64],"combination":[65],"processes":[66],"may":[68],"not":[69],"be":[70],"able":[71],"fully":[73],"We":[77],"developed":[78],"physics-driven":[80],"deep":[81],"learning-based":[82],"method,":[83,91],"followed":[85],"workflow":[87],"EBHC":[90,99,119],"but":[92],"replaced":[93],"components":[96],"with":[101,117],"neural":[102,130],"networks.":[103],"Numerical":[104],"experiments":[105],"were":[106],"performed":[107],"validate":[109],"proposed":[111,140],"benchmark":[114],"its":[115],"performance":[116,145],"end-to-end":[123],"training":[124],"strategies":[125],"based":[126],"two":[128],"popular":[129],"networks,":[131],"i.e.,":[132],"U-net":[133],"RED-CNN.":[135],"Results":[136],"demonstrate":[137],"that":[138],"achieved":[142],"best":[144],"both":[147],"qualitative":[148],"quantitative":[150],"aspects.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
