{"id":"https://openalex.org/W3180753966","doi":"https://doi.org/10.1109/tim.2021.3092061","title":"RCRC: A Deep Neural Network for Dynamic Image Reconstruction of Electrical Impedance Tomography","display_name":"RCRC: A Deep Neural Network for Dynamic Image Reconstruction of Electrical Impedance Tomography","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3180753966","doi":"https://doi.org/10.1109/tim.2021.3092061","mag":"3180753966"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3092061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3092061","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/A5075293545","display_name":"Shangjie Ren","orcid":"https://orcid.org/0000-0003-2220-3856"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangjie Ren","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2220-3856","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049986750","display_name":"Ru Guan","orcid":"https://orcid.org/0000-0001-7289-5155"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ru Guan","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7289-5155","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069469484","display_name":"Guanghui Liang","orcid":"https://orcid.org/0000-0002-6064-6730"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Liang","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6064-6730","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025279788","display_name":"Feng Dong","orcid":"https://orcid.org/0000-0002-8478-8928"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Dong","raw_affiliation_strings":["Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8478-8928","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9494,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.91506548,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12537","display_name":"Flow Measurement and Analysis","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10572","display_name":"Geophysical and Geoelectrical Methods","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6709100604057312},{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.6287858486175537},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6067724227905273},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5792709589004517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5594111084938049},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5491616129875183},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5463332533836365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48523902893066406},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4807131588459015},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.4410075843334198},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4296184182167053},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.4174094796180725},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3547065556049347},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34894970059394836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3260239064693451},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.29071396589279175},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2036241590976715},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12286114692687988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11910450458526611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6709100604057312},{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.6287858486175537},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6067724227905273},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5792709589004517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5594111084938049},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5491616129875183},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5463332533836365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48523902893066406},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4807131588459015},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.4410075843334198},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4296184182167053},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.4174094796180725},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3547065556049347},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34894970059394836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3260239064693451},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.29071396589279175},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2036241590976715},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12286114692687988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11910450458526611},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3092061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3092061","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":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G1689441738","display_name":"\u5f62\u72b6\u7ea6\u675f\u5fc3\u810f\u654f\u611f\u7535\u963b\u6297\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61971304","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1864427146","display_name":null,"funder_award_id":"51976137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2407567036","display_name":null,"funder_award_id":"19JCZDJC38900","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W599344584","https://openalex.org/W1531455566","https://openalex.org/W1922658220","https://openalex.org/W1982286705","https://openalex.org/W2002574043","https://openalex.org/W2006432585","https://openalex.org/W2021137578","https://openalex.org/W2041556066","https://openalex.org/W2064675550","https://openalex.org/W2095626292","https://openalex.org/W2103520741","https://openalex.org/W2111818318","https://openalex.org/W2151220638","https://openalex.org/W2153182373","https://openalex.org/W2194187530","https://openalex.org/W2574952845","https://openalex.org/W2575872241","https://openalex.org/W2578894499","https://openalex.org/W2588773944","https://openalex.org/W2594988164","https://openalex.org/W2608090923","https://openalex.org/W2735337215","https://openalex.org/W2751205669","https://openalex.org/W2767248316","https://openalex.org/W2775487773","https://openalex.org/W2794404562","https://openalex.org/W2896048271","https://openalex.org/W2896344704","https://openalex.org/W2901111678","https://openalex.org/W2916125097","https://openalex.org/W2963231761","https://openalex.org/W2964335273","https://openalex.org/W2971452554","https://openalex.org/W2990050904","https://openalex.org/W3005368325","https://openalex.org/W3093555023","https://openalex.org/W3099236901","https://openalex.org/W3099425575","https://openalex.org/W3101681511","https://openalex.org/W3104882764","https://openalex.org/W3109750046","https://openalex.org/W3117110931","https://openalex.org/W6639497327","https://openalex.org/W6682488149","https://openalex.org/W6712297897","https://openalex.org/W6784219058"],"related_works":["https://openalex.org/W3211685995","https://openalex.org/W2532315310","https://openalex.org/W3160616384","https://openalex.org/W2905540725","https://openalex.org/W4376629886","https://openalex.org/W2000128178","https://openalex.org/W2537891456","https://openalex.org/W2902419700","https://openalex.org/W2089974647","https://openalex.org/W2093495347"],"abstract_inverted_index":{"A":[0],"deep":[1],"neural":[2,38,43],"network":[3,39,44],"is":[4,51],"proposed":[5,98,135],"for":[6],"solving":[7],"the":[8,21,27,64,73,134],"dynamic":[9,28,93,102,118],"image":[10],"reconstruction":[11,35,75],"problems":[12],"in":[13],"electrical":[14],"impedance":[15],"tomography":[16],"(EIT),":[17],"which":[18],"can":[19,57,115],"realize":[20],"filtering,":[22],"smoothing,":[23],"and":[24,47,68,79,92],"prediction":[25,128],"of":[26],"conductivity":[29,74,119,127],"reconstruction.":[30],"This":[31],"framework":[32],"includes":[33],"a":[34,85,105],"network,":[36],"convolutional":[37],"(CNN)":[40],"encoder,":[41],"recurrent":[42],"(RNN)":[45],"model,":[46],"CNN":[48],"decoder,":[49],"thus":[50],"termed":[52],"by":[53,132],"RCRC.":[54],"The":[55,109],"RCRC":[56,114],"automatically":[58],"learn":[59],"prior":[60],"spatial\u2013temporal":[61],"information":[62],"from":[63,104,121],"voltage-to-conductivity":[65],"training":[66],"dataset":[67,103],"utilize":[69],"it":[70],"to":[71,99],"enhance":[72],"accuracy.":[76],"Circular":[77],"acceleration":[78],"pendulum":[80],"systems":[81],"are":[82],"simulated":[83],"with":[84],"water":[86],"tank":[87],"model.":[88],"Stochastic":[89],"data":[90,94],"interpolation":[91],"synthesis":[95],"methods":[96],"were":[97],"generate":[100],"large-scale":[101],"small-scale":[106],"static":[107],"dataset.":[108],"experimental":[110],"results":[111],"show":[112],"that":[113],"accurately":[116],"recover":[117],"images":[120],"EIT":[122],"noisy":[123],"voltage":[124],"sequence.":[125],"Long-term":[126],"was":[129],"also":[130],"achieved":[131],"using":[133],"network.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
