{"id":"https://openalex.org/W3215123994","doi":"https://doi.org/10.1109/tim.2021.3130287","title":"Image Reconstruction Based on Sequential Monte Carlo Principle for EMT","display_name":"Image Reconstruction Based on Sequential Monte Carlo Principle for EMT","publication_year":2021,"publication_date":"2021-11-30","ids":{"openalex":"https://openalex.org/W3215123994","doi":"https://doi.org/10.1109/tim.2021.3130287","mag":"3215123994"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3130287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3130287","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/A5031644149","display_name":"Guoxing Huang","orcid":"https://orcid.org/0000-0002-4591-0900"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoxing Huang","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051274324","display_name":"Wenqing Qian","orcid":"https://orcid.org/0000-0002-8425-7027"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqing Qian","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461874","display_name":"Jingwen Wang","orcid":"https://orcid.org/0000-0002-1405-4697"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Wang","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089911056","display_name":"Weidang Lu","orcid":"https://orcid.org/0000-0002-8919-0327"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidang Lu","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103010721","display_name":"Hong Peng","orcid":"https://orcid.org/0000-0002-9434-3148"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Peng","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031644149"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.6016,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.67628789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9977999925613403,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.7434042096138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5807191729545593},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5039023756980896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44268450140953064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3986409902572632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2359083592891693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13141697645187378}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7434042096138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5807191729545593},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5039023756980896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44268450140953064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3986409902572632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2359083592891693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13141697645187378}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3130287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3130287","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":[{"display_name":"Sustainable cities and communities","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G481692064","display_name":null,"funder_award_id":"LQ20F030017","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6792339348","display_name":null,"funder_award_id":"62101495","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2128685733","https://openalex.org/W2150871548","https://openalex.org/W2165582594","https://openalex.org/W2316183151","https://openalex.org/W2325154660","https://openalex.org/W2398406966","https://openalex.org/W2597313254","https://openalex.org/W2611915393","https://openalex.org/W2620889673","https://openalex.org/W2660988387","https://openalex.org/W2705202223","https://openalex.org/W2750248918","https://openalex.org/W2766714612","https://openalex.org/W2794246591","https://openalex.org/W2802449772","https://openalex.org/W2836448562","https://openalex.org/W2900767634","https://openalex.org/W2901242804","https://openalex.org/W2910921862","https://openalex.org/W2941730162","https://openalex.org/W2946646696","https://openalex.org/W2971748233","https://openalex.org/W2979853609","https://openalex.org/W2992486873","https://openalex.org/W2993758187","https://openalex.org/W2998948403","https://openalex.org/W2999729051","https://openalex.org/W3005352732","https://openalex.org/W3008745348","https://openalex.org/W3017690115","https://openalex.org/W3029120371","https://openalex.org/W3035112388","https://openalex.org/W3040044860","https://openalex.org/W3047238636","https://openalex.org/W3049666340","https://openalex.org/W3097724613","https://openalex.org/W3100703164","https://openalex.org/W3101691590","https://openalex.org/W3102052605","https://openalex.org/W3108660956","https://openalex.org/W3117833210","https://openalex.org/W3124596402","https://openalex.org/W3126951095","https://openalex.org/W3133216609","https://openalex.org/W3134311896","https://openalex.org/W3139109065","https://openalex.org/W3174868585","https://openalex.org/W4255899634"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Due":[0],"to":[1,19,57,90,133,159,189],"the":[2,12,21,41,53,78,93,100,111,123,134,143,152,160,167,174,184],"single":[3],"and":[4,66,127,142,162,166,196,199],"limited":[5],"prior":[6],"information":[7],"in":[8,96,193],"electromagnetic":[9],"tomography":[10],"(EMT),":[11],"existing":[13,191],"reconstruction":[14,37,65,71,81,112],"methods":[15,192],"are":[16,120,130,147],"often":[17],"unable":[18],"reconstruct":[20],"image":[22,36,60,70,80,194],"with":[23],"high":[24,69],"accuracy":[25],"for":[26,46,62,73,92],"different":[27,74,115],"kinds":[28],"of":[29,55,105,139,145],"flow":[30,75,116],"patterns.":[31,76,117],"In":[32],"this":[33],"article,":[34],"an":[35],"algorithm":[38],"based":[39],"on":[40],"sequential":[42],"Monte":[43],"Carlo":[44],"principle":[45],"EMT":[47,63,79],"is":[48,83,156,170,177,187],"proposed.":[49],"It":[50],"can":[51,109],"increase":[52],"diversity":[54,144],"samples":[56,119,141,146,161],"extract":[58],"more":[59],"features":[61],"images":[64],"maintain":[67],"a":[68,86],"effect":[72,113],"First,":[77],"process":[82],"modeled":[84],"as":[85],"dynamic":[87],"time-varying":[88],"system":[89,153,168],"search":[91],"optimal":[94,175],"estimation":[95,155],"state":[97,154,169],"space.":[98],"At":[99],"same":[101],"time,":[102],"controllable":[103],"adjustment":[104],"probability":[106],"density":[107],"distribution":[108],"improve":[110],"under":[114],"Second,":[118],"obtained":[121],"from":[122],"initial":[124],"sample":[125],"space,":[126],"their":[128,163],"weights":[129],"updated":[131,164,171],"according":[132,158],"samples\u2019":[135],"information.":[136],"The":[137],"numbers":[138],"effective":[140],"increased":[148],"by":[149],"resampling.":[150],"Finally,":[151],"calculated":[157],"weights,":[165],"iteratively":[172],"until":[173],"solution":[176],"obtained.":[178],"Simulation":[179],"results":[180],"have":[181],"shown":[182],"that":[183],"proposed":[185],"method":[186],"superior":[188],"other":[190],"error":[195],"correlation":[197],"coefficient,":[198],"has":[200],"better":[201],"imaging":[202],"quality.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
