{"id":"https://openalex.org/W2215528301","doi":"https://doi.org/10.1109/tmi.2015.2474383","title":"Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion","display_name":"Efficient Compressed Sensing SENSE pMRI Reconstruction With Joint Sparsity Promotion","publication_year":2015,"publication_date":"2015-08-28","ids":{"openalex":"https://openalex.org/W2215528301","doi":"https://doi.org/10.1109/tmi.2015.2474383","mag":"2215528301","pmid":"https://pubmed.ncbi.nlm.nih.gov/26336120"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2015.2474383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2015.2474383","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-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/A5020501362","display_name":"Il Yong Chun","orcid":"https://orcid.org/0000-0002-4226-3760"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Il Yong Chun","raw_affiliation_strings":["Department of Mathematics, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065352983","display_name":"Ben Adcock","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ben Adcock","raw_affiliation_strings":["Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069085935","display_name":"Thomas M. Talavage","orcid":"https://orcid.org/0000-0003-4977-6398"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas M. Talavage","raw_affiliation_strings":["Purdue University, School of Electrical & Computer Engineering and Weldon School of Biomedical Engineering, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Purdue University, School of Electrical & Computer Engineering and Weldon School of Biomedical Engineering, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9483,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.96553073,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"35","issue":"1","first_page":"354","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":1.0,"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":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sense","display_name":"Sense (electronics)","score":0.7419483661651611},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7103752493858337},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.6244388818740845},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5981998443603516},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5748034119606018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.524442732334137},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5074095129966736},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45964834094047546},{"id":"https://openalex.org/keywords/electromagnetic-coil","display_name":"Electromagnetic coil","score":0.413468599319458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38873428106307983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3263370394706726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.321585476398468},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.143487811088562},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12583985924720764}],"concepts":[{"id":"https://openalex.org/C143141573","wikidata":"https://www.wikidata.org/wiki/Q7450971","display_name":"Sense (electronics)","level":2,"score":0.7419483661651611},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7103752493858337},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6244388818740845},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5981998443603516},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5748034119606018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.524442732334137},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5074095129966736},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45964834094047546},{"id":"https://openalex.org/C30403606","wikidata":"https://www.wikidata.org/wiki/Q2981904","display_name":"Electromagnetic coil","level":2,"score":0.413468599319458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38873428106307983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3263370394706726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.321585476398468},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.143487811088562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12583985924720764},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"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":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2015.2474383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2015.2474383","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"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 Medical Imaging","raw_type":"journal-article"},{"id":"pmid:26336120","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26336120","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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G188872238","display_name":null,"funder_award_id":"1318894","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"}],"funders":[{"id":"https://openalex.org/F4320309410","display_name":"Indiana State Department of Health","ror":"https://ror.org/00hdf4w21"},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W19536506","https://openalex.org/W1202875439","https://openalex.org/W1497904071","https://openalex.org/W1557005360","https://openalex.org/W1751744080","https://openalex.org/W1848264314","https://openalex.org/W1896990905","https://openalex.org/W1913250981","https://openalex.org/W1922757677","https://openalex.org/W1933541558","https://openalex.org/W1967829907","https://openalex.org/W1968909094","https://openalex.org/W1978333359","https://openalex.org/W1979954835","https://openalex.org/W1980003430","https://openalex.org/W1985967149","https://openalex.org/W1996287810","https://openalex.org/W2002712188","https://openalex.org/W2003271614","https://openalex.org/W2011344206","https://openalex.org/W2013816305","https://openalex.org/W2032038095","https://openalex.org/W2037983998","https://openalex.org/W2044762091","https://openalex.org/W2047544187","https://openalex.org/W2076459392","https://openalex.org/W2076482644","https://openalex.org/W2086903403","https://openalex.org/W2093716483","https://openalex.org/W2094568618","https://openalex.org/W2096761902","https://openalex.org/W2103368607","https://openalex.org/W2105199122","https://openalex.org/W2108067537","https://openalex.org/W2111388536","https://openalex.org/W2115723093","https://openalex.org/W2116581540","https://openalex.org/W2117530999","https://openalex.org/W2117649283","https://openalex.org/W2117700900","https://openalex.org/W2123031198","https://openalex.org/W2135718700","https://openalex.org/W2136390628","https://openalex.org/W2137198385","https://openalex.org/W2142058898","https://openalex.org/W2142808775","https://openalex.org/W2145020729","https://openalex.org/W2146598152","https://openalex.org/W2150446794","https://openalex.org/W2151354228","https://openalex.org/W2159122269","https://openalex.org/W2160074925","https://openalex.org/W2164278908","https://openalex.org/W2165428057","https://openalex.org/W2167233877","https://openalex.org/W2169326247","https://openalex.org/W2321425723","https://openalex.org/W2400972628","https://openalex.org/W2962904605","https://openalex.org/W3103827634","https://openalex.org/W3106359998","https://openalex.org/W4249760698","https://openalex.org/W4292363360","https://openalex.org/W4300662640","https://openalex.org/W6639376260","https://openalex.org/W6669494726","https://openalex.org/W6675464237","https://openalex.org/W6700623845"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W2896778670"],"abstract_inverted_index":{"The":[0,85,118],"theory":[1],"and":[2,40,109,131,143,160,211],"techniques":[3,173],"of":[4,29,56,103,113,120,136],"compressed":[5],"sensing":[6],"(CS)":[7],"have":[8],"shown":[9],"their":[10],"potential":[11],"as":[12,134],"a":[13,62],"breakthrough":[14],"in":[15,33,82,170,233],"accelerating":[16],"k-space":[17,57],"data":[18,58],"acquisition":[19],"for":[20,44,89,235],"parallel":[21],"magnetic":[22],"resonance":[23],"imaging":[24],"(pMRI).":[25],"However,":[26],"the":[27,90,104,114,121,127,132,147,165,183,195],"performance":[28],"CS":[30,41,64,78,93,106,116,129,137,167,191,197,217,225],"reconstruction":[31,51,69,142,184],"models":[32],"pMRI":[34,45,68],"has":[35],"not":[36],"been":[37],"fully":[38],"maximized,":[39],"recovery":[42,86],"guarantees":[43],"are":[46,153],"largely":[47],"absent.":[48],"To":[49],"improve":[50],"accuracy":[52,185],"from":[53],"parsimonious":[54],"amounts":[55],"while":[59],"maintaining":[60],"flexibility,":[61],"new":[63,122],"SENSitivity":[65],"Encoding":[66],"(SENSE)":[67],"framework":[70],"promoting":[71],"joint":[72],"sparsity":[73],"(JS)":[74],"across":[75],"channels":[76],"(JS":[77],"SENSE)":[79],"is":[80,96,124,186,208],"proposed":[81,91,210],"this":[83],"paper.":[84],"guarantee":[87],"derived":[88],"JS":[92,166,190,216,224],"SENSE":[94,107,168,192,226],"model":[95,108,123,130,169,207],"demonstrated":[97],"to":[98,111,175,213],"be":[99],"better":[100,125],"than":[101,126],"that":[102,112,135,182,222],"conventional":[105,196],"similar":[110],"coil-by-coil":[115,128],"model.":[117],"flexibility":[119],"same":[133],"SENSE.":[138,198,218],"For":[139,164],"fast":[140],"image":[141],"fair":[144],"comparisons,":[145],"all":[146],"introduced":[148],"CS-based":[149,230],"constrained":[150],"optimization":[151],"problems":[152],"solved":[154],"with":[155,194],"split":[156],"Bregman,":[157],"variable":[158],"splitting,":[159],"combined-variable":[161],"splitting":[162],"techniques.":[163],"particular,":[171],"these":[172],"lead":[174],"an":[176,201],"efficient":[177],"algorithm.":[178],"Numerical":[179,219],"experiments":[180],"show":[181,221],"significantly":[187],"improved":[188],"by":[189],"compared":[193],"In":[199],"addition,":[200],"accurate":[202],"residual-JS":[203],"regularized":[204],"sensitivity":[205],"estimation":[206],"also":[209],"extended":[212],"calibration-less":[214,231],"(CaL)":[215],"results":[220],"CaL":[223],"outperforms":[227],"other":[228],"state-of-the-art":[229],"methods":[232],"particular":[234],"reconstructing":[236],"non-piecewise":[237],"constant":[238],"images.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":45},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}