{"id":"https://openalex.org/W3047122857","doi":"https://doi.org/10.1109/tci.2021.3074881","title":"Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction","display_name":"Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3047122857","doi":"https://doi.org/10.1109/tci.2021.3074881","mag":"3047122857"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2021.3074881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2021.3074881","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.01567","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026380428","display_name":"Soumendu Majee","orcid":"https://orcid.org/0000-0002-8442-2897"},"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":true,"raw_author_name":"Soumendu Majee","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"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/A5048698903","display_name":"Thilo Balke","orcid":"https://orcid.org/0000-0002-1716-5923"},"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":"Thilo Balke","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"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/A5075349279","display_name":"Craig A. J. Kemp","orcid":null},"institutions":[{"id":"https://openalex.org/I168537998","display_name":"Eli Lilly (United States)","ror":"https://ror.org/01qat3289","country_code":"US","type":"company","lineage":["https://openalex.org/I168537998"]},{"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":"Craig Kemp","raw_affiliation_strings":["Eli Lilly and Company, Indianapolis, IN, USA","PURDUE UNIVERSITY"],"affiliations":[{"raw_affiliation_string":"Eli Lilly and Company, Indianapolis, IN, USA","institution_ids":["https://openalex.org/I168537998"]},{"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/I168537998","display_name":"Eli Lilly (United States)","ror":"https://ror.org/01qat3289","country_code":"US","type":"company","lineage":["https://openalex.org/I168537998"]},{"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 Buzzard","raw_affiliation_strings":["Department of Mathematics, Purdue University, West Lafayette, IN, USA","Eli Lilly & Company"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"Eli Lilly & Company","institution_ids":["https://openalex.org/I168537998"]}]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Bouman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","PURDUE UNIVERSITY"],"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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026380428"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00195028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"448","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"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":0.9975000023841858,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9969000220298767,"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":0.6959357261657715},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4950803816318512},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48358815908432007},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48319876194000244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47486233711242676},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45694833993911743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959357261657715},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4950803816318512},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48358815908432007},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48319876194000244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47486233711242676},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45694833993911743},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tci.2021.3074881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2021.3074881","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","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:2008.01567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.01567","pdf_url":"https://arxiv.org/pdf/2008.01567","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":"mag:3047122857","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2008.01567.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2008.01567","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.01567","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.01567","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.01567","pdf_url":"https://arxiv.org/pdf/2008.01567","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/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2784100120","display_name":null,"funder_award_id":"17099289","funder_id":"https://openalex.org/F4320307758","funder_display_name":"Eli Lilly and Company"}],"funders":[{"id":"https://openalex.org/F4320307758","display_name":"Eli Lilly and Company","ror":"https://ror.org/01qat3289"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W771875447","https://openalex.org/W1925354503","https://openalex.org/W1953936588","https://openalex.org/W1975854013","https://openalex.org/W1981401019","https://openalex.org/W2048274568","https://openalex.org/W2056370875","https://openalex.org/W2087416986","https://openalex.org/W2110733023","https://openalex.org/W2122192562","https://openalex.org/W2133665775","https://openalex.org/W2142419873","https://openalex.org/W2164278908","https://openalex.org/W2183196428","https://openalex.org/W2296055064","https://openalex.org/W2508457857","https://openalex.org/W2603684566","https://openalex.org/W2729971135","https://openalex.org/W2765431787","https://openalex.org/W2777741489","https://openalex.org/W2810889466","https://openalex.org/W2883660432","https://openalex.org/W2884298988","https://openalex.org/W2889700716","https://openalex.org/W2898685680","https://openalex.org/W2899534976","https://openalex.org/W2905525600","https://openalex.org/W2920463173","https://openalex.org/W2953594885","https://openalex.org/W2964215687","https://openalex.org/W3105425607","https://openalex.org/W4292363360","https://openalex.org/W6640273033","https://openalex.org/W6755491274"],"related_works":["https://openalex.org/W3161148529","https://openalex.org/W2953594885","https://openalex.org/W3191383088","https://openalex.org/W3042847156","https://openalex.org/W3021216484","https://openalex.org/W3166783250","https://openalex.org/W2792114632","https://openalex.org/W3032096772","https://openalex.org/W4210477505","https://openalex.org/W2895115770","https://openalex.org/W2947117330","https://openalex.org/W3211061318","https://openalex.org/W2914025279","https://openalex.org/W3011935312","https://openalex.org/W2291547523","https://openalex.org/W2949098957","https://openalex.org/W2995359922","https://openalex.org/W3189797295","https://openalex.org/W3102939816","https://openalex.org/W3022200535"],"abstract_inverted_index":{"Inverse":[0],"problems":[1],"spanning":[2],"four":[3],"or":[4,76],"more":[5],"dimensions":[6,84],"such":[7,62],"as":[8,63,133],"space,":[9],"time":[10,182],"andother":[11],"independent":[12],"parameters":[13],"have":[14,42],"become":[15],"increasingly":[16],"important.":[17],"State-of-the-art":[18],"4D":[19,112,147,178],"reconstruction":[20,26,151],"methods":[21,41],"use":[22],"model":[23],"based":[24,114],"iterative":[25],"(MBIR),":[27],"but":[28],"depend":[29],"critically":[30],"on":[31,115,169,199],"the":[32,35,92,116,138,185,190,213],"quality":[33,214],"of":[34,95,118,131,157,189,215],"prior":[36,53],"modeling.":[37],"Recently,":[38],"plug-and-play":[39],"(PnP)":[40],"been":[43],"shown":[44],"to":[45,50,82,88,146,175,205,218,225],"be":[46],"an":[47,129],"effective":[48,96],"way":[49],"incorporate":[51],"advanced":[52],"models":[54],"using":[55],"state-of-the-art":[56,60],"denoising":[57],"algorithms.":[58],"However,":[59],"denoisers":[61],"BM4D":[64],"and":[65,79,91,183,195,201,227],"deep":[66],"convolutional":[67],"neural":[68],"networks":[69],"(CNNs)":[70],"are":[71,160],"primarily":[72],"available":[73],"for":[74,111,136,152],"2D":[75],"3D":[77],"images":[78],"extending":[80],"them":[81],"higher":[83],"is":[85],"difficult":[86],"due":[87],"algorithmic":[89],"complexity":[90],"increased":[93],"difficulty":[94],"training.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101],"present":[102,193],"<italic":[103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">multi-slice":[105],"fusion</i>":[106],",":[107],"a":[108,134],"novel":[109],"algorithm":[110],"reconstruction,":[113],"fusion":[117,168,209],"multiple":[119,139],"low-dimensional":[120],"denoisers.":[121],"Our":[122],"approach":[123],"uses":[124],"multi-agent":[125],"consensus":[126],"equilibrium":[127],"(MACE),":[128],"extension":[130],"plug-and-play,":[132],"framework":[135],"integrating":[137],"lower-dimensional":[140],"models.":[141],"We":[142,165,192],"apply":[143],"our":[144],"method":[145],"cone-beam":[148],"X-ray":[149],"CT":[150,203],"non":[153],"destructive":[154],"evaluation":[155],"(NDE)":[156],"samples":[158],"that":[159,207],"dynamically":[161],"moving":[162],"during":[163],"acquisition.":[164],"implement":[166,226],"multi-slice":[167,208],"distributed,":[170],"heterogeneous":[171],"clusters":[172],"in":[173,180],"order":[174],"reconstruct":[176],"large":[177],"volumes":[179],"reasonable":[181],"demonstrate":[184,206],"inherent":[186],"parallelizable":[187],"nature":[188],"algorithm.":[191],"simulated":[194],"real":[196],"experimental":[197],"results":[198],"sparse-view":[200],"limited-angle":[202],"data":[204],"can":[210],"substantially":[211],"improve":[212],"reconstructions":[216],"relative":[217],"traditional":[219],"methods,":[220],"while":[221],"also":[222],"being":[223],"practical":[224],"train.":[228]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
