{"id":"https://openalex.org/W3007402901","doi":"https://doi.org/10.1109/i2mtc43012.2020.9128898","title":"Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model","display_name":"Image Reconstruction for Multi-frequency Electromagnetic Tomography based on Multiple Measurement Vector Model","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3007402901","doi":"https://doi.org/10.1109/i2mtc43012.2020.9128898","mag":"3007402901"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc43012.2020.9128898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9128898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.00990","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010341431","display_name":"Jinxi Xiang","orcid":"https://orcid.org/0000-0002-5476-3690"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jinxi Xiang","raw_affiliation_strings":["University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382828","display_name":"Zhou Chen","orcid":"https://orcid.org/0009-0008-9378-3900"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhou Chen","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101526463","display_name":"Yonggui Dong","orcid":"https://orcid.org/0000-0003-3469-674X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonggui Dong","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044092715","display_name":"Yunjie Yang","orcid":"https://orcid.org/0000-0002-5797-9753"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yunjie Yang","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, U.K"],"affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010341431"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.2074,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49108763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9915000200271606,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.6214985251426697},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.614745020866394},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5375876426696777},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42918121814727783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36082130670547485},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3480682075023651},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3438848853111267},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.27616044878959656}],"concepts":[{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.6214985251426697},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.614745020866394},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5375876426696777},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42918121814727783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36082130670547485},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3480682075023651},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3438848853111267},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.27616044878959656}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/i2mtc43012.2020.9128898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc43012.2020.9128898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.00990","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.00990","pdf_url":"https://arxiv.org/pdf/2003.00990","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.00990","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.00990","pdf_url":"https://arxiv.org/pdf/2003.00990","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":[{"display_name":"Affordable and clean energy","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2006932873","https://openalex.org/W2014932741","https://openalex.org/W2020282020","https://openalex.org/W2028823365","https://openalex.org/W2085884133","https://openalex.org/W2087874725","https://openalex.org/W2137446763","https://openalex.org/W2142340744","https://openalex.org/W2146000945","https://openalex.org/W2152279006","https://openalex.org/W2607867235","https://openalex.org/W2749919169","https://openalex.org/W2795198316","https://openalex.org/W2800638053","https://openalex.org/W2803966412","https://openalex.org/W2943605539","https://openalex.org/W2963789209"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Imaging":[0],"the":[1,12,53,67,101,104,115,129],"bio-impedance":[2],"distribution":[3],"of":[4,21,39,42,103,112],"a":[5,27,80],"biological":[6],"sample":[7],"can":[8],"provide":[9],"understandings":[10],"about":[11],"sample\u2019s":[13],"electrical":[14],"properties":[15],"which":[16],"is":[17,76,86,118],"an":[18],"important":[19],"indicator":[20],"physiological":[22],"status.":[23],"This":[24],"paper":[25],"presents":[26],"multi-frequency":[28],"electromagnetic":[29],"tomography":[30],"(mfEMT)":[31],"technique":[32],"for":[33,89,124],"biomedical":[34],"imaging.":[35],"The":[36,73],"system":[37],"consists":[38],"8":[40],"channels":[41],"gradiometer":[43],"coils":[44],"with":[45],"adjustable":[46],"sensitivity":[47],"and":[48,94],"excitation":[49],"frequency.":[50],"To":[51],"exploit":[52],"frequency":[54,62],"correlation":[55],"among":[56],"each":[57],"measurement,":[58],"we":[59],"reconstruct":[60],"multiple":[61,113],"data":[63,123],"simultaneously":[64],"based":[65],"on":[66],"Multiple":[68],"Measurement":[69],"Vector":[70],"(MMV)":[71],"model.":[72,135],"MMV":[74],"problem":[75],"solved":[77],"by":[78,109],"using":[79],"sparse":[81,90],"Bayesian":[82],"learning":[83],"method":[84,117],"that":[85,108],"especially":[87],"effective":[88],"distribution.":[91],"Both":[92],"simulations":[93],"experiments":[95],"have":[96],"been":[97],"conducted":[98],"to":[99,121,128],"verify":[100],"performance":[102],"method.":[105],"Results":[106],"show":[107],"taking":[110],"advantage":[111],"measurements,":[114],"proposed":[116],"more":[119],"robust":[120],"noisy":[122],"ill-posed":[125],"problems":[126],"compared":[127],"commonly":[130],"used":[131],"single":[132],"measurement":[133],"vector":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
