{"id":"https://openalex.org/W7128823421","doi":"https://doi.org/10.1109/tci.2026.3664753","title":"Fast Electrical Impedance Tomography With Hybrid Priors","display_name":"Fast Electrical Impedance Tomography With Hybrid Priors","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128823421","doi":"https://doi.org/10.1109/tci.2026.3664753"},"language":null,"primary_location":{"id":"doi:10.1109/tci.2026.3664753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3664753","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":"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/A5101912843","display_name":"Shuaikai Shi","orcid":"https://orcid.org/0000-0003-1985-6530"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Shuaikai Shi","raw_affiliation_strings":["Department of Computer Science, Khalifa University, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0003-1985-6530","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063035150","display_name":"Ruiyuan Kang","orcid":"https://orcid.org/0000-0002-9137-6999"},"institutions":[{"id":"https://openalex.org/I4210087059","display_name":"Technology Innovation Institute","ror":"https://ror.org/001kv2y39","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210087059"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ruiyuan Kang","raw_affiliation_strings":["Wave and Machine Intelligence Department, Technology Innovation Institute, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-9137-6999","affiliations":[{"raw_affiliation_string":"Wave and Machine Intelligence Department, Technology Innovation Institute, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I4210087059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083852325","display_name":"Panos Liatsis","orcid":"https://orcid.org/0000-0002-5490-6030"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Panos Liatsis","raw_affiliation_strings":["Department of Computer Science, Khalifa University, Abu Dhabi, UAE"],"raw_orcid":"https://orcid.org/0000-0002-5490-6030","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Khalifa University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18397826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"573","last_page":"586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9836999773979187,"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":0.9836999773979187,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.005400000140070915,"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":0.003599999938160181,"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/electrical-impedance-tomography","display_name":"Electrical impedance tomography","score":0.9150000214576721},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6444000005722046},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6438999772071838},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6287000179290771},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5895000100135803},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5486999750137329},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.420199990272522},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.4108999967575073},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.40310001373291016},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C155175808","wikidata":"https://www.wikidata.org/wiki/Q1326472","display_name":"Electrical impedance tomography","level":3,"score":0.9150000214576721},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6444000005722046},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6438999772071838},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6287000179290771},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5895000100135803},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5486999750137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45350000262260437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44830000400543213},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.4108999967575073},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40310001373291016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C17829176","wikidata":"https://www.wikidata.org/wiki/Q179043","display_name":"Electrical impedance","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32339999079704285},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.3158999979496002},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3050999939441681},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.3000999987125397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C131540310","wikidata":"https://www.wikidata.org/wiki/Q907564","display_name":"Conductivity","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.28060001134872437},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.27129998803138733},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.257999986410141},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2026.3664753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2026.3664753","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1978770244","https://openalex.org/W1999337588","https://openalex.org/W2005490094","https://openalex.org/W2011678679","https://openalex.org/W2031489346","https://openalex.org/W2036178417","https://openalex.org/W2041625018","https://openalex.org/W2056370875","https://openalex.org/W2064694526","https://openalex.org/W2087416986","https://openalex.org/W2112890043","https://openalex.org/W2113761410","https://openalex.org/W2133665775","https://openalex.org/W2138248326","https://openalex.org/W2166981273","https://openalex.org/W2278331350","https://openalex.org/W2485153272","https://openalex.org/W2594988164","https://openalex.org/W2795198316","https://openalex.org/W2896344704","https://openalex.org/W2898288076","https://openalex.org/W2941524667","https://openalex.org/W3009250710","https://openalex.org/W3025051614","https://openalex.org/W3119900676","https://openalex.org/W3123906210","https://openalex.org/W3138516171","https://openalex.org/W3167568784","https://openalex.org/W3175610975","https://openalex.org/W3209243150","https://openalex.org/W4205623635","https://openalex.org/W4210444635","https://openalex.org/W4226336696","https://openalex.org/W4250589301","https://openalex.org/W4292363360","https://openalex.org/W4312616583","https://openalex.org/W4313526215","https://openalex.org/W4319663645","https://openalex.org/W4387245239","https://openalex.org/W4387778354","https://openalex.org/W4392309076","https://openalex.org/W4393252887","https://openalex.org/W4400405483","https://openalex.org/W4405601683","https://openalex.org/W4408325111","https://openalex.org/W4417505512"],"related_works":[],"abstract_inverted_index":{"Electrical":[0],"impedance":[1],"tomography":[2],"(EIT)":[3],"is":[4,30,65,199,229,242,281],"a":[5,33,140,180,183,187,202,234],"non-ionizing":[6],"and":[7,27,44,79,87,102,155,179,186,205,209,224,260,272],"non-invasive":[8],"imaging":[9,40],"technique":[10],"that":[11,237],"reconstructs":[12],"the":[13,53,71,80,160,169,175,191,195,220,225,238,247,264,267],"electrical":[14,47],"conductivity":[15,55,83,115,143,192,227],"patterns":[16],"within":[17,159],"an":[18,66],"object.":[19],"Due":[20],"to":[21,41,70,94,190,246],"its":[22],"low":[23],"cost,":[24],"real-time":[25],"nature":[26,119],"portability,":[28],"it":[29],"popular":[31],"in":[32],"variety":[34],"of":[35,164,172,266],"applications":[36],"ranging":[37],"from":[38],"medical":[39],"industrial":[42],"monitoring":[43],"geoscience.":[45],"When":[46],"currents":[48],"are":[49],"injected,":[50],"EIT":[51,62,274],"reveals":[52],"internal":[54],"distribution":[56],"through":[57,99],"boundary":[58,76],"voltage":[59,77,176],"measurements.":[60],"However,":[61],"image":[63,103,144,228,275],"reconstruction":[64,122,145,177,276],"ill-posed":[67],"problem":[68],"due":[69],"significant":[72],"disparity":[73],"between":[74],"sparse":[75,181],"measurements":[78],"desired":[81,226],"high-resolution":[82],"images.":[84,193],"Both":[85],"conventional":[86,107],"deep":[88],"learning":[89,125],"approaches":[90],"have":[91],"been":[92],"developed":[93],"address":[95],"this":[96,136],"challenge,":[97],"primarily":[98],"spatial":[100],"regularization":[101,241],"regression":[104],"techniques.":[105],"While":[106],"methods":[108],"employing":[109],"regularizers":[110],"can":[111],"generate":[112],"physically":[113],"plausible":[114],"distributions,":[116],"their":[117],"linear":[118],"often":[120],"limits":[121],"accuracy.":[123],"Deep":[124],"models":[126],"achieve":[127],"superior":[128],"results":[129],"but":[130,252],"require":[131],"substantial":[132],"training":[133],"datasets.":[134],"In":[135],"work,":[137],"we":[138,232],"propose":[139],"novel":[141],"iterative":[142],"method":[146,163,269],"for":[147],"EIT,":[148],"termed":[149],"PnPEIT,":[150],"which":[151],"integrates":[152],"both":[153,258],"handcrafted":[154],"plug-and-play":[156],"(PnP)":[157],"priors":[158],"alternating":[161,218],"direction":[162],"multipliers":[165],"(ADMM)":[166],"framework.":[167],"Specifically,":[168],"objective":[170],"function":[171],"PnPEIT":[173],"contains":[174],"error":[178],"constraint,":[182],"graph":[184,239],"regularization,":[185],"PnP":[188,196],"prior":[189,197],"Next,":[194],"term":[198],"optimized":[200],"by":[201,207],"denoising":[203,215,250],"operator":[204],"implemented":[206],"block-matching":[208],"3D":[210],"filtering":[211],"(BM3D)":[212],"or":[213],"pre-trained":[214],"networks.":[216],"Through":[217],"iterations,":[219],"algorithm":[221],"converges":[222],"rapidly":[223],"obtained.":[230],"Moreover,":[231],"provide":[233],"simple":[235],"proof":[236],"Laplacian":[240],"not":[243],"only":[244],"equivalent":[245],"non-local":[248],"means":[249],"algorithm,":[251],"also":[253],"accelerates":[254],"convergence.":[255],"Experiments":[256],"on":[257],"synthetic":[259],"real-world":[261],"datasets":[262],"emphasize":[263],"advantage":[265],"proposed":[268],"over":[270],"traditional":[271],"cutting-edge":[273],"approaches.":[277],"The":[278],"source":[279],"code":[280],"available":[282],"at":[283],"<uri":[284],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[285],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/shuaikaishi/PnPEIT</uri>.":[286]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-14T00:00:00"}
