{"id":"https://openalex.org/W2713664329","doi":"https://doi.org/10.1109/icassp.2017.7952266","title":"Compressed sensing MRI using double sparsity with additional training images","display_name":"Compressed sensing MRI using double sparsity with additional training images","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2713664329","doi":"https://doi.org/10.1109/icassp.2017.7952266","mag":"2713664329"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023666469","display_name":"Chenmin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chenmin Tang","raw_affiliation_strings":["Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072074013","display_name":"Norihito Inamuro","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihito Inamuro","raw_affiliation_strings":["Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033075918","display_name":"Takashi Ijiri","orcid":"https://orcid.org/0000-0002-9057-2066"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Ijiri","raw_affiliation_strings":["Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112495604","display_name":"Akira Hirabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Hirabayashi","raw_affiliation_strings":["Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University, Graduate School of Info. Science & Eng., Kusatsu, Shiga, Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11172902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"54","issue":null,"first_page":"801","last_page":"805"},"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":0.9994000196456909,"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/computer-science","display_name":"Computer science","score":0.7941083312034607},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7839186191558838},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.6893517971038818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6488551497459412},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5741056203842163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4282623529434204},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38555651903152466},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3609442710876465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7941083312034607},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7839186191558838},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.6893517971038818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6488551497459412},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5741056203842163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4282623529434204},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38555651903152466},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3609442710876465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1933386811","https://openalex.org/W2029816571","https://openalex.org/W2040309541","https://openalex.org/W2056469265","https://openalex.org/W2099321050","https://openalex.org/W2117882039","https://openalex.org/W2160547390","https://openalex.org/W2167396304","https://openalex.org/W2168668658","https://openalex.org/W2273553327","https://openalex.org/W2406361542","https://openalex.org/W4250955649","https://openalex.org/W6684531467"],"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/W2896778670","https://openalex.org/W2613073969","https://openalex.org/W2798746587"],"abstract_inverted_index":{"The":[0],"compressed":[1],"sensing":[2],"using":[3],"dictionary":[4,46,78],"learning":[5,22,47,79],"has":[6],"led":[7],"to":[8,51,92,102],"state-of-the-art":[9],"results":[10,97,114],"for":[11,82,140],"magnetic":[12],"resonance":[13],"imaging":[14],"(MRI)":[15],"reconstruction":[16,67,132],"from":[17],"highly":[18],"under-sampled":[19],"measurements.":[20],"Dictionary":[21],"had":[23],"been":[24],"considered":[25],"time-consuming":[26],"especially":[27],"when":[28],"the":[29,33,71,76,99,117,125,130],"patch":[30],"size":[31],"or":[32],"number":[34],"of":[35,98],"training":[36],"patches":[37],"is":[38,120],"large.":[39],"Recently,":[40],"double":[41,72,109],"sparsity":[42,73,110],"model":[43,74],"and":[44,107],"online":[45,77],"algorithm":[48],"were":[49],"proposed":[50,100,118],"obtain":[52],"dictionaries":[53],"with":[54,75,106],"much":[55],"less":[56],"computational":[57],"time.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,85],"propose":[63],"an":[64],"efficient":[65],"MRI":[66,90],"method":[68],"by":[69],"adopting":[70],"method.":[80],"Besides,":[81],"better":[83,139],"reconstruction,":[84],"use":[86],"separately":[87],"prepared":[88],"fully-sampled":[89],"images":[91],"train":[93],"dictionaries.":[94],"We":[95],"compare":[96],"technique":[101,119,136],"traditional":[103,126],"offline":[104],"methods":[105,127],"without":[108],"model.":[111],"Our":[112],"simulation":[113],"show":[115],"that":[116],"approximately":[121],"twice":[122],"faster":[123],"than":[124],"while":[128],"maintaining":[129],"same":[131],"quality.":[133],"Furthermore,":[134],"our":[135],"performed":[137],"even":[138],"lower":[141],"sampling":[142],"rate.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}