{"id":"https://openalex.org/W2990097336","doi":"https://doi.org/10.1109/tci.2020.3008782","title":"Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium","display_name":"Distributed Iterative CT Reconstruction Using Multi-Agent Consensus Equilibrium","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2990097336","doi":"https://doi.org/10.1109/tci.2020.3008782","mag":"2990097336"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2020.3008782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2020.3008782","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1911.09278","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078634269","display_name":"Venkatesh Sridhar","orcid":"https://orcid.org/0000-0002-0394-5830"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkatesh Sridhar","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0002-0394-5830","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100411431","display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0001-6545-1943"},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["Boston Children's Hospital and Harvard Medical School, Boston, MA, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0001-6545-1943","affiliations":[{"raw_affiliation_string":"Boston Children's Hospital and Harvard Medical School, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113","https://openalex.org/I136199984"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020010248","display_name":"Gregery T. Buzzard","orcid":"https://orcid.org/0000-0001-9777-3090"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregery T. Buzzard","raw_affiliation_strings":["Department of Mathematics, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"raw_orcid":"https://orcid.org/0000-0001-9777-3090","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"PURDUE UNIVERSITY","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]},{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles A. Bouman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","Harvard University ,"],"raw_orcid":"https://orcid.org/0000-0001-8504-0383","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Harvard University ,","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1031,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43330323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"6","issue":null,"first_page":"1153","last_page":"1166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9947999715805054,"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/T11885","display_name":"MRI in cancer diagnosis","score":0.9883999824523926,"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/computer-science","display_name":"Computer science","score":0.7642344236373901},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6753055453300476},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5551832318305969},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5471472144126892},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4720367193222046},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.45974355936050415},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4387722909450531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2227291762828827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7642344236373901},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6753055453300476},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5551832318305969},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5471472144126892},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4720367193222046},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.45974355936050415},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4387722909450531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2227291762828827},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tci.2020.3008782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2020.3008782","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2334-0118","2573-0436"],"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 Computational Imaging","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1911.09278","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.09278","pdf_url":"https://arxiv.org/pdf/1911.09278","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.1911.09278","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1911.09278","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2990097336","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1911.09278","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1911.09278","pdf_url":"https://arxiv.org/pdf/1911.09278","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G7282745900","display_name":null,"funder_award_id":"2013-ST-061-ED0001","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"}],"funders":[{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W50823897","https://openalex.org/W205960364","https://openalex.org/W1570909928","https://openalex.org/W1588929156","https://openalex.org/W1986262252","https://openalex.org/W1999320095","https://openalex.org/W2003624223","https://openalex.org/W2056370875","https://openalex.org/W2087416986","https://openalex.org/W2097073572","https://openalex.org/W2097846568","https://openalex.org/W2110733023","https://openalex.org/W2141991262","https://openalex.org/W2142419873","https://openalex.org/W2144132602","https://openalex.org/W2145522579","https://openalex.org/W2166887721","https://openalex.org/W2272618324","https://openalex.org/W2296055064","https://openalex.org/W2508457857","https://openalex.org/W2523352299","https://openalex.org/W2573726823","https://openalex.org/W2581533092","https://openalex.org/W2768032319","https://openalex.org/W2774197211","https://openalex.org/W2884298988","https://openalex.org/W2913535645","https://openalex.org/W2953594885","https://openalex.org/W2964215687","https://openalex.org/W2986879213","https://openalex.org/W3105425607","https://openalex.org/W4229650096","https://openalex.org/W6634251294","https://openalex.org/W6727201239","https://openalex.org/W6758920291"],"related_works":["https://openalex.org/W2889700716","https://openalex.org/W3032338157","https://openalex.org/W2297137102","https://openalex.org/W2347821054","https://openalex.org/W3133689921","https://openalex.org/W3116263893","https://openalex.org/W2995400136","https://openalex.org/W284912194","https://openalex.org/W3081485894","https://openalex.org/W2767131137","https://openalex.org/W3115326848","https://openalex.org/W3173361423","https://openalex.org/W2181407706","https://openalex.org/W3206766216","https://openalex.org/W3210235006","https://openalex.org/W2885383822","https://openalex.org/W3058242690","https://openalex.org/W3207467947","https://openalex.org/W2776160996","https://openalex.org/W2950563672"],"abstract_inverted_index":{"Model-Based":[0],"Image":[1],"Reconstruction":[2],"(MBIR)":[3],"methods":[4],"significantly":[5],"enhance":[6,105],"the":[7,39,69,91,117,150],"quality":[8],"of":[9,43,50,62,68,120,173],"computed":[10],"tomographic":[11],"(CT)":[12],"reconstructions":[13],"relative":[14],"to":[15,90,104,116,130,149],"analytical":[16],"techniques,":[17],"but":[18],"are":[19],"limited":[20],"by":[21],"high":[22],"computational":[23],"cost.":[24],"In":[25,53,108,128],"this":[26,109],"article,":[27],"we":[28,111,125,134,155],"propose":[29],"a":[30,47,59,65,77,113,136,160,177],"multi-agent":[31],"consensus":[32],"equilibrium":[33],"(MACE)":[34],"algorithm":[35],"for":[36],"distributing":[37],"both":[38],"computation":[40],"and":[41,64,72,144],"memory":[42,162],"MBIR":[44],"reconstruction":[45,106,184],"across":[46],"large":[48],"number":[49],"parallel":[51,74,114],"nodes.":[52],"MACE,":[54],"each":[55,73],"node":[56,75],"stores":[57],"only":[58],"sparse":[60],"subset":[61],"views":[63],"small":[66],"portion":[67],"system":[70,163],"matrix,":[71],"performs":[76],"local":[78],"sparse-view":[79],"reconstruction,":[80],"which":[81,124],"based":[82],"on":[83,159,176],"repeated":[84],"feedback":[85],"from":[86],"other":[87],"nodes,":[88],"converges":[89,148],"global":[92,152],"optimum.":[93],"Our":[94],"distributed":[95,161],"approach":[96,158,175],"can":[97,181],"also":[98,169],"incorporate":[99],"advanced":[100],"denoisers":[101],"as":[102],"priors":[103],"quality.":[107],"case,":[110],"obtain":[112],"solution":[115],"serial":[118],"framework":[119],"Plug-n-play":[121],"(PnP)":[122],"priors,":[123],"call":[126],"MACE-PnP.":[127],"order":[129],"make":[131],"MACE":[132],"practical,":[133],"introduce":[135],"partial":[137],"update":[138],"method":[139],"that":[140,146,180],"eliminates":[141],"nested":[142],"iterations":[143],"prove":[145],"it":[147],"same":[151],"solution.":[153],"Finally,":[154],"validate":[156],"our":[157,174],"with":[164],"real":[165],"CT":[166],"data.":[167],"We":[168],"demonstrate":[170],"an":[171],"implementation":[172],"massive":[178],"supercomputer":[179],"perform":[182],"large-scale":[183],"in":[185],"real-time.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}