{"id":"https://openalex.org/W4253630365","doi":"https://doi.org/10.1109/embc.2014.6943898","title":"Exploiting similarity in adjacent slices for compressed sensing MRI","display_name":"Exploiting similarity in adjacent slices for compressed sensing MRI","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W4253630365","doi":"https://doi.org/10.1109/embc.2014.6943898","pmid":"https://pubmed.ncbi.nlm.nih.gov/25570266"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6943898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","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/A5060152553","display_name":"Lior Weizman","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Lior Weizman","raw_affiliation_strings":["Department of EE, Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of EE, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091027283","display_name":"Ohad Rahamim","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Ohad Rahamim","raw_affiliation_strings":["Department of EE, Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of EE, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067943708","display_name":"Roey Dekel","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Roey Dekel","raw_affiliation_strings":["Department of EE, Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of EE, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Department of EE, Technion, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Department of EE, Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030090317","display_name":"Dafna Ben Bashat","orcid":"https://orcid.org/0000-0001-8396-1031"},"institutions":[{"id":"https://openalex.org/I2799807261","display_name":"Tel Aviv Sourasky Medical Center","ror":"https://ror.org/04nd58p63","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I2799807261"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dafna Ben-Bashat","raw_affiliation_strings":["Sourasky Medical Center, Tel-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Sourasky Medical Center, Tel-Aviv, Israel","institution_ids":["https://openalex.org/I2799807261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060152553"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":1.5769,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83177778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2014","issue":null,"first_page":"1549","last_page":"1552"},"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9984999895095825,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7577899694442749},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6632287502288818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524415016174316},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5999244451522827},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5726377964019775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.56437748670578},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5309407711029053},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.518925666809082},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5172843933105469},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4639095664024353},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.46110019087791443},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4579424560070038},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44700387120246887},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4284239411354065},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4069443941116333},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.382593035697937}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7577899694442749},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6632287502288818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524415016174316},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5999244451522827},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5726377964019775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56437748670578},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5309407711029053},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.518925666809082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5172843933105469},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4639095664024353},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.46110019087791443},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4579424560070038},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44700387120246887},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4284239411354065},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4069443941116333},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.382593035697937},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":"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},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6943898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6943898","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25570266","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25570266","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":11,"referenced_works":["https://openalex.org/W1979954835","https://openalex.org/W1981545460","https://openalex.org/W1982376581","https://openalex.org/W1997301483","https://openalex.org/W2029816571","https://openalex.org/W2084159174","https://openalex.org/W2123620676","https://openalex.org/W2132122471","https://openalex.org/W2149855549","https://openalex.org/W4250955649","https://openalex.org/W4300263211"],"related_works":["https://openalex.org/W2896778670","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"],"abstract_inverted_index":{"Due":[0],"to":[1,39,55,79,85],"fundamental":[2],"characteristics":[3],"of":[4,29,44,104,108,115,127,140],"MRI":[5,25,45,82,134],"that":[6,122],"limit":[7],"scan":[8],"speedup,":[9],"sub-sampling":[10],"techniques":[11],"such":[12],"as":[13,70],"compressed":[14],"sensing":[15],"(CS)":[16],"have":[17],"been":[18],"developed":[19],"for":[20,74],"rapid":[21],"MRI.":[22,76],"Current":[23],"CS":[24,75,133],"approaches":[26],"utilize":[27],"sparsity":[28],"the":[30,33,56,65,71,87,91,96,112,116,123,128,137],"image":[31,57,124],"in":[32],"wavelet":[34],"or":[35],"other":[36],"transform":[37],"domains":[38],"speed-up":[40],"acquisition.":[41],"Another":[42],"drawback":[43],"is":[46,53],"its":[47],"poor":[48],"signal-to-noise":[49],"ratio":[50],"(SNR),":[51],"which":[52],"proportional":[54],"slice":[58],"thickness.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"use":[64],"difference":[66],"between":[67,98],"adjacent":[68,99],"slices":[69,83,89],"sparse":[72],"domain":[73],"We":[77],"propose":[78],"acquire":[80],"thick":[81,92,105],"and":[84],"reconstruct":[86],"thin":[88,100,109],"from":[90],"slices'":[93],"data,":[94],"utilizing":[95],"similarity":[97],"slices.":[101],"The":[102],"acquisition":[103],"slices,":[106],"instead":[107],"ones,":[110],"improves":[111],"total":[113],"SNR":[114],"reconstructed":[117],"image.":[118],"Experimental":[119],"results":[120],"show":[121],"reconstruction":[125],"quality":[126],"proposed":[129],"method":[130],"outperforms":[131],"existing":[132],"methods":[135],"using":[136],"same":[138],"number":[139],"measurements.":[141]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
