{"id":"https://openalex.org/W4295430542","doi":"https://doi.org/10.1109/embc48229.2022.9872016","title":"The Complex-valued PD-net for MRI reconstruction of knee images","display_name":"The Complex-valued PD-net for MRI reconstruction of knee images","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4295430542","doi":"https://doi.org/10.1109/embc48229.2022.9872016","pmid":"https://pubmed.ncbi.nlm.nih.gov/36085925"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9872016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9872016","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5030966201","display_name":"Poornima Jain","orcid":"https://orcid.org/0000-0002-5424-8795"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Poornima Jain","raw_affiliation_strings":["International Institute of Information Technology,Bangalore,India","International Institute of Information Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Bangalore,India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113342815","display_name":"Chakka Sai Pradeep","orcid":null},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chakka Sai Pradeep","raw_affiliation_strings":["International Institute of Information Technology,Bangalore,India","International Institute of Information Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Bangalore,India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014371833","display_name":"Neelam Sinha","orcid":"https://orcid.org/0000-0001-8164-8412"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neelam Sinha","raw_affiliation_strings":["International Institute of Information Technology,Bangalore,India","International Institute of Information Technology, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology,Bangalore,India","institution_ids":["https://openalex.org/I181514455"]},{"raw_affiliation_string":"International Institute of Information Technology, Bangalore, India","institution_ids":["https://openalex.org/I181514455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030966201"],"corresponding_institution_ids":["https://openalex.org/I181514455"],"apc_list":null,"apc_paid":null,"fwci":0.8959,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76560395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2022","issue":null,"first_page":"2093","last_page":"2096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689145028591156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254394054412842},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.57491135597229},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5456079840660095},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5110131502151489},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48428481817245483},{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.45557066798210144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44022953510284424},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4351655840873718},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.41865235567092896},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39279553294181824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28260108828544617},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.20515111088752747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689145028591156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254394054412842},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.57491135597229},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5456079840660095},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5110131502151489},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48428481817245483},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.45557066798210144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44022953510284424},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4351655840873718},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.41865235567092896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39279553294181824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28260108828544617},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.20515111088752747},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007717","descriptor_name":"Knee","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007719","descriptor_name":"Knee Joint","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9872016","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9872016","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36085925","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36085925","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1528288284","https://openalex.org/W2133665775","https://openalex.org/W2738743584","https://openalex.org/W2795380527","https://openalex.org/W2836501717","https://openalex.org/W2900756484","https://openalex.org/W2979703761","https://openalex.org/W3001319253","https://openalex.org/W3010300843","https://openalex.org/W3036377007","https://openalex.org/W3098473349","https://openalex.org/W3103586216","https://openalex.org/W3127737671","https://openalex.org/W3137984567","https://openalex.org/W6738884980","https://openalex.org/W6779617128","https://openalex.org/W6790144085"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"MRI":[0,12,39,103,142],"reconstruction":[1,143],"is":[2,16,152],"the":[3,30,50,59,85,130,145,166,171,179,231,235],"fundamental":[4],"task":[5],"of":[6,20,29,58,84,132,204,230],"obtaining":[7],"diagnostic":[8],"quality":[9,56],"images":[10,72],"from":[11,110],"sensor":[13,61],"data":[14,163],"and":[15,26,82,113,164,173,191,202,207,214],"an":[17],"active":[18],"area":[19],"research":[21],"for":[22,102,141],"improving":[23],"accuracy,":[24],"speed":[25],"memory":[27],"requirements":[28],"process.":[31],"Complex-valued":[32],"neural":[33,100,139],"networks":[34,101,106,121],"have":[35,96,116],"previously":[36],"achieved":[37],"superior":[38],"reconstructions":[40,57],"compared":[41,210],"to":[42,53,211],"real-valued":[43],"nets.":[44],"But":[45],"those":[46],"works":[47,86],"operated":[48],"in":[49,79,125],"image":[51,114],"domain":[52],"denoise":[54],"poor":[55],"raw":[60,74,91,161],"(k-space)":[62],"data.":[63],"Also":[64],"small-scale":[65],"or":[66,73,105,148],"proprietary":[67],"datasets":[68],"with":[69,178,226],"few":[70],"clinical":[71],"k-space":[75,92,112,162],"volumes":[76,190],"were":[77],"used":[78],"these":[80],"works,":[81],"none":[83],"use":[87],"publicly":[88,180],"available":[89],"large-scale":[90,182],"datasets.":[93],"Recent":[94],"studies":[95],"shown":[97],"that":[98,157],"cross-domain":[99,138],"reconstruction,":[104],"which":[107,122],"leverage":[108],"information":[109],"both":[111,170],"domains,":[115],"better":[117],"potential":[118],"than":[119],"single-domain":[120],"operate":[123],"only":[124],"one":[126],"domain.":[127],"We":[128,176],"study":[129],"effects":[131],"complex-valued":[133],"operations":[134],"on":[135],"a":[136,153],"top-performing":[137],"network":[140],"called":[144],"Primal-Dual":[146],"net,":[147],"PD-net.":[149,218],"The":[150],"PD-net":[151,221],"fully":[154],"convolutional":[155],"architecture":[156],"takes":[158],"input":[159],"as":[160],"outputs":[165],"reconstructions,":[167],"thus":[168],"performing":[169],"inversion":[172],"denoising":[174],"tasks.":[175],"experiment":[177],"available,":[181],"fastMRI":[183],"single-coil":[184],"knee":[185],"dataset":[186],"having":[187],"973":[188],"train":[189],"199":[192],"validation":[193],"volumes.":[194],"Our":[195,219],"proposed":[196],"method":[197],"(Complex":[198],"PD-net)":[199],"achieves":[200,222],"PSNR":[201],"SSIM":[203,225],"33.3":[205],"dB":[206,213],"0.8033":[208],"respectively,":[209],"32.13":[212],"0.728":[215],"obtained":[216],"by":[217],"Complex":[220],"10.3%":[223],"higher":[224],"just":[227],"over":[228],"50%":[229],"total":[232],"parameters":[233],"w.r.t.":[234],"SOTA":[236],"methodology.":[237]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}