{"id":"https://openalex.org/W2069949220","doi":"https://doi.org/10.1109/bmei.2012.6512928","title":"Dynamic MR imaging reconstruction by three-dimensional dictionary learning","display_name":"Dynamic MR imaging reconstruction by three-dimensional dictionary learning","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2069949220","doi":"https://doi.org/10.1109/bmei.2012.6512928","mag":"2069949220"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6512928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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/A5100631937","display_name":"Ying Song","orcid":"https://orcid.org/0000-0002-4685-7267"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Song","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 200240","Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 200240","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058685565","display_name":"Jun Zhao","orcid":"https://orcid.org/0000-0002-3539-2249"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 200240","Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China, 200240","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100631937"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4852,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6945901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"39"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9997000098228455,"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/undersampling","display_name":"Undersampling","score":0.9760109186172485},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7702187299728394},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7025749087333679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6701056361198425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6049100160598755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47892531752586365},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.4720517098903656},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46225327253341675},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.45453953742980957},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.43777161836624146},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41295549273490906},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4093337655067444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4009575843811035},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.39286285638809204},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2794516086578369},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2454008162021637}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.9760109186172485},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7702187299728394},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7025749087333679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6701056361198425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6049100160598755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47892531752586365},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.4720517098903656},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46225327253341675},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.45453953742980957},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.43777161836624146},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41295549273490906},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4093337655067444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4009575843811035},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.39286285638809204},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2794516086578369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2454008162021637},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/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/bmei.2012.6512928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1599359994","https://openalex.org/W1890834058","https://openalex.org/W2053723322","https://openalex.org/W2056775112","https://openalex.org/W2059930507","https://openalex.org/W2101675075","https://openalex.org/W2116148865","https://openalex.org/W2132122471","https://openalex.org/W2138500679","https://openalex.org/W2145096794","https://openalex.org/W2151693816","https://openalex.org/W2160547390","https://openalex.org/W2168668658","https://openalex.org/W2291260727","https://openalex.org/W2296399167"],"related_works":["https://openalex.org/W3011226087","https://openalex.org/W2212041357","https://openalex.org/W2895530314","https://openalex.org/W3214931932","https://openalex.org/W1959447026","https://openalex.org/W2052082011","https://openalex.org/W2903019797","https://openalex.org/W2218273114","https://openalex.org/W2545365977","https://openalex.org/W2030107647"],"abstract_inverted_index":{"Magnetic":[0],"Resonance":[1],"Imaging":[2],"(MRI)":[3],"has":[4],"been":[5],"widely":[6],"used":[7],"in":[8,79,115,122,127,177,212],"medical":[9],"diagnosis":[10],"due":[11],"to":[12,16,85,189,202],"its":[13],"excellent":[14],"discernibility":[15],"soft":[17],"tissues":[18],"and":[19,71,120,147],"no":[20,100],"radiation":[21],"damage.":[22],"Recent":[23],"years,":[24],"compressed":[25],"sensing":[26],"(CS)":[27],"based":[28],"reconstruction":[29,42,66,162,168,191],"method":[30,61,159],"for":[31,38,62],"dynamic":[32,64],"MRI":[33,65],"is":[34,95,106,193],"a":[35,59,142,171],"hot":[36],"topic":[37],"it":[39],"enables":[40],"accurate":[41],"from":[43,82,200],"undersampled":[44],"k-space":[45,126],"data,":[46],"which":[47],"can":[48,204],"significantly":[49],"reduce":[50],"the":[51,77,123,157,161,165,184,190,207],"data-acquisition":[52],"time.":[53],"In":[54,88],"this":[55,89],"paper,":[56],"we":[57],"proposed":[58,104,158],"novel":[60],"three-dimensional":[63,136,167],"with":[67,99,141,170],"higher":[68],"undersampling":[69,145],"rates":[70],"better":[72],"imaging":[73],"quality":[74,163,192,209],"by":[75,153],"extending":[76],"atoms":[78],"dictionary":[80,113],"learning":[81,114],"two":[83,110],"dimensions":[84],"three":[86,124],"dimensions.":[87],"way,":[90],"spatial":[91],"correlation":[92],"among":[93],"slices":[94],"fully":[96],"exploited":[97],"implicitly":[98],"artificial":[101],"interference.":[102],"The":[103,149,196],"algorithm":[105],"simply":[107],"composed":[108],"of":[109,139,144,173,186],"steps:":[111],"adaptive":[112],"one":[116],"step,":[117],"then":[118],"restoring":[119],"filling":[121],"dimensional":[125],"another":[128],"step.":[129],"Numerical":[130],"experiments":[131],"were":[132],"carried":[133],"out":[134],"on":[135],"MR":[137],"images":[138],"anatomies":[140],"variety":[143],"schemes":[146],"ratios.":[148],"results":[150],"show":[151],"that,":[152],"only":[154,205],"30":[155],"iterations,":[156],"improves":[160],"over":[164],"state-of-the-art":[166],"methods":[169],"reduction":[172],"more":[174],"than":[175],"95%":[176],"normalized":[178],"mean":[179],"square":[180],"error":[181],"(NMSE).":[182],"Besides,":[183],"influence":[185],"parameter":[187,197],"variations":[188],"also":[194],"analyzed.":[195],"variation":[198],"ranging":[199],"20%":[201],"200%":[203],"bias":[206],"image":[208],"within":[210],"0.001":[211],"NMSE.":[213]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
