{"id":"https://openalex.org/W4385218226","doi":"https://doi.org/10.1109/tim.2023.3298389","title":"Electrical Impedance Tomography Guided by Digital Twins and Deep Learning for Lung Monitoring","display_name":"Electrical Impedance Tomography Guided by Digital Twins and Deep Learning for Lung Monitoring","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385218226","doi":"https://doi.org/10.1109/tim.2023.3298389"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3298389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3298389","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":true,"oa_status":"green","oa_url":"https://purehost.bath.ac.uk/ws/files/287959945/EIT_Guided_by_DT_and_DL_final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101608115","display_name":"Liying Zhu","orcid":"https://orcid.org/0000-0002-2037-1269"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Liying Zhu","raw_affiliation_strings":["Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-2037-1269","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063303592","display_name":"Wu Lu","orcid":"https://orcid.org/0000-0001-5237-5486"},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Lu","raw_affiliation_strings":["School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5237-5486","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085895836","display_name":"Manuchehr Soleimani","orcid":"https://orcid.org/0000-0002-6341-9592"},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manuchehr Soleimani","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Bath, Bath, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6341-9592","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Bath, Bath, U.K","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356712","display_name":"Zhe Li","orcid":"https://orcid.org/0000-0003-3738-4418"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I2800570007","display_name":"Renji Hospital","ror":"https://ror.org/03ypbx660","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800570007"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Li","raw_affiliation_strings":["Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3738-4418","affiliations":[{"raw_affiliation_string":"Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I2800570007","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101951237","display_name":"Maomao Zhang","orcid":"https://orcid.org/0000-0002-1742-4665"},"institutions":[{"id":"https://openalex.org/I4210114105","display_name":"Tsinghua\u2013Berkeley Shenzhen Institute","ror":"https://ror.org/02hhwwz98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114105","https://openalex.org/I95457486","https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maomao Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1742-4665","affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I4210114105"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1357,"has_fulltext":true,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97145365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"9"},"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12537","display_name":"Flow Measurement and Analysis","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.9029638767242432},{"id":"https://openalex.org/keywords/electrical-impedance","display_name":"Electrical impedance","score":0.5942360162734985},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.519890308380127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4109501838684082},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.39644280076026917},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.38644617795944214},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.35850393772125244},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3440430164337158},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.32835865020751953},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2777141332626343},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.21972426772117615},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20614281296730042},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19660380482673645}],"concepts":[{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.9029638767242432},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.5942360162734985},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.519890308380127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4109501838684082},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.39644280076026917},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.38644617795944214},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.35850393772125244},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3440430164337158},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.32835865020751953},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2777141332626343},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.21972426772117615},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20614281296730042},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19660380482673645}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2023.3298389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3298389","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"},{"id":"pmh:oai:purehost.bath.ac.uk:publications/60157ba7-981f-4e3f-a2db-6367ace3698d","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/60157ba7-981f-4e3f-a2db-6367ace3698d","pdf_url":"https://purehost.bath.ac.uk/ws/files/287959945/EIT_Guided_by_DT_and_DL_final.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, L, Lu, W, Soleimani, M, Li, Z & Zhnag, M 2023, 'Electrical Impedance Tomography Guided by Digital Twins and Deep Learning for Lung Monitoring', IEEE Transactions on Instrumentation and Measurement, vol. 72, 4009309. https://doi.org/10.1109/TIM.2023.3298389","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:purehost.bath.ac.uk:publications/60157ba7-981f-4e3f-a2db-6367ace3698d","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/60157ba7-981f-4e3f-a2db-6367ace3698d","pdf_url":"https://purehost.bath.ac.uk/ws/files/287959945/EIT_Guided_by_DT_and_DL_final.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhu, L, Lu, W, Soleimani, M, Li, Z & Zhnag, M 2023, 'Electrical Impedance Tomography Guided by Digital Twins and Deep Learning for Lung Monitoring', IEEE Transactions on Instrumentation and Measurement, vol. 72, 4009309. https://doi.org/10.1109/TIM.2023.3298389","raw_type":"article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8410518223","display_name":null,"funder_award_id":"JSGG20210802154006018","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385218226.pdf","grobid_xml":"https://content.openalex.org/works/W4385218226.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1634235246","https://openalex.org/W1901129140","https://openalex.org/W1984648720","https://openalex.org/W1990890705","https://openalex.org/W2026616100","https://openalex.org/W2028662175","https://openalex.org/W2041556066","https://openalex.org/W2043571477","https://openalex.org/W2049772201","https://openalex.org/W2052625285","https://openalex.org/W2064694526","https://openalex.org/W2068743359","https://openalex.org/W2069378059","https://openalex.org/W2083927153","https://openalex.org/W2133665775","https://openalex.org/W2563619737","https://openalex.org/W2606669953","https://openalex.org/W2738352648","https://openalex.org/W2767248316","https://openalex.org/W2795198316","https://openalex.org/W2896048271","https://openalex.org/W2913384339","https://openalex.org/W2963231761","https://openalex.org/W2981658631","https://openalex.org/W2999365564","https://openalex.org/W2999516274","https://openalex.org/W3087721441","https://openalex.org/W3090731561","https://openalex.org/W3092624083","https://openalex.org/W3101681511","https://openalex.org/W3104882764","https://openalex.org/W3119900676","https://openalex.org/W3124082710","https://openalex.org/W3127717877","https://openalex.org/W3172378354","https://openalex.org/W3184569878","https://openalex.org/W3207648641","https://openalex.org/W4200629770","https://openalex.org/W4226206947","https://openalex.org/W4229062197","https://openalex.org/W4285818280","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6797176516"],"related_works":["https://openalex.org/W2104029157","https://openalex.org/W2467534401","https://openalex.org/W2133170116","https://openalex.org/W2313404873","https://openalex.org/W1999681764","https://openalex.org/W2167767104","https://openalex.org/W2536974292","https://openalex.org/W2067324555","https://openalex.org/W2348091821","https://openalex.org/W3211813625"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4,151,177],"been":[5],"an":[6],"increasing":[7],"interest":[8],"in":[9,15,81,122,182],"applying":[10],"electrical":[11,96,187],"impedance":[12],"tomography":[13],"(EIT)":[14],"lung":[16,55,64,90,100],"monitoring":[17,56],"due":[18],"to":[19,101,117,158,179],"its":[20],"advantages":[21],"of":[22,98],"being":[23],"noninvasive,":[24],"nonionizing,":[25],"real":[26],"time,":[27],"and":[28,66,95,106,125,146,154,176],"functional":[29],"imaging":[30,85,164],"with":[31],"no":[32],"harmful":[33],"side":[34],"effects.":[35],"However,":[36],"the":[37,74,93,99,110,119,123,128,132],"EIT":[38,84,140,163,174],"images":[39],"reconstructed":[40],"by":[41,58],"traditional":[42,159],"algorithms":[43],"suffer":[44],"from":[45],"low":[46],"spatial":[47],"resolution.":[48],"This":[49],"article":[50],"proposes":[51],"a":[52,60,67,103,142,167],"novel":[53],"EIT-based":[54],"scheme":[57],"using":[59,141],"3-D":[61],"digital":[62,88,144],"twin":[63,89,145],"model":[65,91],"deep":[68,147],"learning-based":[69,148],"image":[70,111,149],"reconstruction":[71,112,150],"algorithm.":[72],"Unlike":[73],"static":[75],"numerical":[76],"or":[77],"experimental":[78],"simulations":[79],"used":[80,116,181],"other":[82],"data-driven":[83,184],"methods,":[86],"our":[87],"incorporates":[92],"biomechanical":[94],"properties":[97],"generate":[102],"more":[104],"realistic":[105],"dynamic":[107],"dataset.":[108],"Additionally,":[109],"network":[113],"(IR-Net)":[114],"is":[115],"learn":[118],"prior":[120],"information":[121],"dataset":[124],"accurately":[126],"reconstruct":[127],"conductivity":[129],"variation":[130],"within":[131],"lungs":[133],"during":[134],"respiration.":[135],"The":[136,161],"results":[137],"indicate":[138],"that":[139],"guided":[143],"better":[152],"accuracy":[153],"anti-noise":[155],"performance":[156],"compared":[157],"EIT.":[160],"proposed":[162],"framework":[165],"provides":[166],"new":[168],"idea":[169],"for":[170,186],"efficiently":[171],"creating":[172],"labeled":[173],"data":[175],"potential":[178],"be":[180],"various":[183],"methods":[185],"biomedical":[188],"imaging.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}