{"id":"https://openalex.org/W4408441794","doi":"https://doi.org/10.1109/tim.2025.3551476","title":"Two-View CT Reconstruction Based on a Noise-Adaptive Regularization-Guided Conditional Diffusion Model","display_name":"Two-View CT Reconstruction Based on a Noise-Adaptive Regularization-Guided Conditional Diffusion Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408441794","doi":"https://doi.org/10.1109/tim.2025.3551476"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3551476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551476","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/A5114608863","display_name":"Jiahong Liu","orcid":"https://orcid.org/0009-0006-7076-0680"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0009-0006-7076-0680","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054407228","display_name":"Xuanheng Li","orcid":"https://orcid.org/0000-0003-2606-6932"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanheng Li","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-2606-6932","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073840185","display_name":"Yi Sun","orcid":"https://orcid.org/0000-0001-6086-5741"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Sun","raw_affiliation_strings":["School of Information and Communication Engineering, Dalian University of Technology, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-6086-5741","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06586565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9933000206947327,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6219858527183533},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5024516582489014},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4446036219596863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4323517084121704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3816221356391907},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3608182668685913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35852479934692383}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6219858527183533},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5024516582489014},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4446036219596863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4323517084121704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3816221356391907},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3608182668685913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35852479934692383},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3551476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3551476","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G2828344487","display_name":null,"funder_award_id":"U23A20284","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336756","display_name":"Tianjin Science and Technology Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2145096794","https://openalex.org/W2471048935","https://openalex.org/W2791871435","https://openalex.org/W2807979819","https://openalex.org/W2901384697","https://openalex.org/W2912834247","https://openalex.org/W2965761874","https://openalex.org/W2972005899","https://openalex.org/W3046301294","https://openalex.org/W3109389373","https://openalex.org/W3138542141","https://openalex.org/W3157089313","https://openalex.org/W3186799329","https://openalex.org/W4200421901","https://openalex.org/W4210251949","https://openalex.org/W4226018553","https://openalex.org/W4226350815","https://openalex.org/W4292363360","https://openalex.org/W4310466990","https://openalex.org/W4312418426","https://openalex.org/W4320009740","https://openalex.org/W4360594930","https://openalex.org/W4372346797","https://openalex.org/W4380489494","https://openalex.org/W4386075565","https://openalex.org/W4386233498","https://openalex.org/W4386352899","https://openalex.org/W4387789888","https://openalex.org/W4389328844","https://openalex.org/W4390873749","https://openalex.org/W4390874212","https://openalex.org/W4392681580","https://openalex.org/W4403279377","https://openalex.org/W6779823529","https://openalex.org/W6786375611","https://openalex.org/W6856262111","https://openalex.org/W6856974689"],"related_works":["https://openalex.org/W3209466624","https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W4388819787","https://openalex.org/W2327107878","https://openalex.org/W2171117985","https://openalex.org/W1526760723","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3108403339"],"abstract_inverted_index":{"In":[0,128],"industrial":[1],"manufacturing,":[2],"computed":[3],"tomography":[4],"(CT)":[5],"is":[6,42],"an":[7],"effective":[8],"method":[9,222],"for":[10,31,58,140],"defect":[11],"inspection.":[12],"However,":[13,106],"it":[14],"usually":[15],"requires":[16],"360\u00b0":[17],"scan,":[18],"which":[19],"would":[20],"consume":[21],"a":[22,133,163,175,192,209,214,224],"long":[23],"scanning":[24],"time":[25],"and":[26,74,116,161,190,218,232],"thus":[27],"limit":[28],"its":[29],"application":[30],"online":[32],"detection.":[33],"To":[34,56,144,202],"achieve":[35],"extremely":[36],"fast":[37],"CT,":[38],"two-view":[39,141],"CT":[40,54,142],"reconstruction":[41,200,227],"proposed,":[43],"where":[44],"only":[45],"two":[46],"orthogonal":[47],"projections":[48],"are":[49,110],"adopted":[50],"to":[51,80,97,102,157,167,182,184,197,236],"reconstruct":[52],"3-D":[53],"volumes.":[55],"compensate":[57],"the":[59,72,75,98,113,117,149,155,159,185,199,204],"lack":[60],"of":[61,108,216,228],"projections,":[62],"most":[63,107],"existing":[64,237],"works":[65,92],"rely":[66],"on":[67,86,112],"learning":[68],"methods,":[69],"such":[70],"as":[71,154],"U-Net":[73],"generative":[76],"adversarial":[77],"network":[78],"(GAN),":[79],"provide":[81],"sufficient":[82],"prior":[83],"knowledge":[84],"based":[85,111],"datasets.":[87],"Recently,":[88],"some":[89],"diffusion":[90,137],"model-based":[91],"have":[93],"been":[94],"developed":[95],"due":[96],"model\u2019s":[99],"excellent":[100],"ability":[101],"generate":[103],"complex":[104],"images.":[105],"them":[109],"unconditional":[114],"framework,":[115],"traditional":[118],"total":[119],"variation":[120],"(TV)":[121],"regularization":[122,180],"may":[123],"not":[124],"be":[125,145],"suitable":[126],"here.":[127],"this":[129],"article,":[130],"we":[131,147,172,207],"propose":[132],"noise-adaptive":[134,177],"regularization-guided":[135],"conditional":[136],"model":[138],"(CDM)":[139],"reconstruction.":[143],"specific,":[146],"adopt":[148],"filtered":[150],"back-projection":[151],"(FBP)":[152],"results":[153],"condition":[156],"guide":[158],"generation":[160,189],"embed":[162],"TV":[164,178],"regularization-based":[165],"optimization":[166],"ensure":[168],"data":[169],"consistency.":[170],"Moreover,":[171],"particularly":[173],"design":[174],"triaxial":[176],"(NATV)":[179],"term":[181],"adapt":[183],"denoising":[186],"process":[187],"during":[188],"develop":[191],"lightweight":[193],"neural":[194],"network-based":[195],"solution":[196],"accelerate":[198],"speed.":[201],"validate":[203],"proposed":[205],"method,":[206],"establish":[208],"real":[210],"piston":[211],"dataset":[212],"with":[213],"variety":[215],"defects":[217],"demonstrate":[219],"that":[220],"our":[221],"achieves":[223],"more":[225],"precise":[226],"both":[229],"overall":[230],"shapes":[231],"tiny":[233],"structures":[234],"compared":[235],"methods.":[238]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}