{"id":"https://openalex.org/W2577660281","doi":"https://doi.org/10.1109/mmsp.2016.7813392","title":"Robust MRI reconstruction via re-weighted total variation and non-local sparse regression","display_name":"Robust MRI reconstruction via re-weighted total variation and non-local sparse regression","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2577660281","doi":"https://doi.org/10.1109/mmsp.2016.7813392","mag":"2577660281"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp.2016.7813392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-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/A5101782837","display_name":"Mingli Zhang","orcid":"https://orcid.org/0000-0001-5801-5692"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mingli Zhang","raw_affiliation_strings":["Department of Software and IT Engineering, Ecole de technologie sup\u00e9rieure, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Software and IT Engineering, Ecole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017608284","display_name":"Christian Desrosiers","orcid":"https://orcid.org/0000-0002-9162-9650"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christian Desrosiers","raw_affiliation_strings":["Department of Software and IT Engineering, Ecole de technologie sup\u00e9rieure, Montreal, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Software and IT Engineering, Ecole de technologie sup\u00e9rieure, Montreal, Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101782837"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.6079,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7098424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998999834060669,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6874324679374695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310368776321411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054983735084534},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5746815204620361},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5713378190994263},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.536276638507843},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5133256316184998},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.48570117354393005},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.47870874404907227},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4462847113609314},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42706650495529175},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41737306118011475},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41540780663490295},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.344289094209671},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33001136779785156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08372867107391357}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6874324679374695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310368776321411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054983735084534},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5746815204620361},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5713378190994263},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.536276638507843},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5133256316184998},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.48570117354393005},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.47870874404907227},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4462847113609314},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42706650495529175},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41737306118011475},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41540780663490295},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.344289094209671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33001136779785156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08372867107391357},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmsp.2016.7813392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp.2016.7813392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1978418556","https://openalex.org/W2003863798","https://openalex.org/W2018990310","https://openalex.org/W2097474301","https://openalex.org/W2101675075","https://openalex.org/W2106440213","https://openalex.org/W2106617178","https://openalex.org/W2107861471","https://openalex.org/W2115660589","https://openalex.org/W2119259145","https://openalex.org/W2133665775","https://openalex.org/W2141168890","https://openalex.org/W2146420155","https://openalex.org/W2163973643","https://openalex.org/W2164278908","https://openalex.org/W2167396304","https://openalex.org/W2168903001","https://openalex.org/W2191349405","https://openalex.org/W2212883665","https://openalex.org/W2293255637","https://openalex.org/W2405113653","https://openalex.org/W2798909945","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6674737082","https://openalex.org/W6684531467","https://openalex.org/W6750968397"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W1605636162","https://openalex.org/W2344001031","https://openalex.org/W2896778670","https://openalex.org/W2756378021","https://openalex.org/W4292601995","https://openalex.org/W2890366747","https://openalex.org/W2037789795","https://openalex.org/W2613828789","https://openalex.org/W4297923868"],"abstract_inverted_index":{"Total":[0],"variation":[1],"(TV)":[2],"based":[3,68,98],"sparsity":[4],"and":[5,123,141],"non":[6,83],"local":[7,84],"self-similarity":[8],"have":[9],"been":[10],"shown":[11],"to":[12,26,72,110,131],"be":[13],"powerful":[14],"tools":[15],"for":[16,57],"the":[17,27,40,44,58,80,88,100,114,145],"reconstruction":[18,59],"of":[19,30,46,60,82,90,104],"magnetic":[20],"resonance":[21],"(MR)":[22],"images.":[23],"However,":[24],"due":[25],"uniform":[28],"regularization":[29,66],"gradient":[31],"sparsity,":[32],"standard":[33],"TV":[34,71],"approaches":[35],"often":[36],"over-smooth":[37],"edges":[38,140],"in":[39,43,144],"image,":[41],"resulting":[42],"loss":[45],"important":[47],"details.":[48],"This":[49,76],"paper":[50],"presents":[51],"a":[52,65,91,120],"novel":[53],"compressed":[54,134],"sensing":[55,135],"method":[56,77,130],"MRI":[61],"data,":[62],"which":[63],"uses":[64],"strategy":[67,97],"on":[69,99,119],"re-weighted":[70],"preserve":[73],"image":[74,85],"edges.":[75],"also":[78],"leverages":[79],"redundancy":[81],"patches":[86],"through":[87],"use":[89],"sparse":[92],"regression":[93],"model.":[94,116],"An":[95],"efficient":[96],"Alternating":[101],"Direction":[102],"Method":[103],"Multipliers":[105],"(ADMM)":[106],"algorithm":[107],"is":[108],"used":[109],"recover":[111],"images":[112],"with":[113],"proposed":[115],"Experimental":[117],"results":[118],"simulated":[121],"phantom":[122],"real":[124],"brain":[125],"MR":[126],"data":[127],"show":[128],"our":[129],"outperform":[132],"state-of-the-art":[133],"approaches,":[136],"by":[137],"better":[138],"preserving":[139],"removing":[142],"artifacts":[143],"image.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}