{"id":"https://openalex.org/W2116713579","doi":"https://doi.org/10.1109/ssiai.2012.6202472","title":"Compressive sampling in fast wavelet-encoded MRI","display_name":"Compressive sampling in fast wavelet-encoded MRI","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2116713579","doi":"https://doi.org/10.1109/ssiai.2012.6202472","mag":"2116713579"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2012.6202472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2012.6202472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Southwest Symposium on Image Analysis and Interpretation","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/A5100712001","display_name":"Zheng Liu","orcid":"https://orcid.org/0000-0003-3698-3646"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheng Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","Dept of Electrical and Computer Engineering, Texas Tech University, Lubbock, 79409, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Dept of Electrical and Computer Engineering, Texas Tech University, Lubbock, 79409, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041609210","display_name":"Brian Nutter","orcid":"https://orcid.org/0009-0006-3033-3596"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian Nutter","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","Dept of Electrical and Computer Engineering, Texas Tech University, Lubbock, 79409, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Dept of Electrical and Computer Engineering, Texas Tech University, Lubbock, 79409, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113580077","display_name":"Sunanda Mitra","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunanda Mitra","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","Dept of Electrical and Computer Engineering, Texas Tech University, Lubbock, 79409, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Dept of Electrical and Computer Engineering, Texas Tech University, Lubbock, 79409, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":null,"apc_paid":null,"fwci":0.5526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66368604,"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":"137","last_page":"140"},"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":0.9995999932289124,"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/undersampling","display_name":"Undersampling","score":0.8867496252059937},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.8097904920578003},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.7860700488090515},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6076713800430298},{"id":"https://openalex.org/keywords/nyquist\u2013shannon-sampling-theorem","display_name":"Nyquist\u2013Shannon sampling theorem","score":0.5420085191726685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5384426712989807},{"id":"https://openalex.org/keywords/restricted-isometry-property","display_name":"Restricted isometry property","score":0.5338049530982971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5268855094909668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3689624071121216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.326850950717926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2661435604095459}],"concepts":[{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.8867496252059937},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8097904920578003},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7860700488090515},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6076713800430298},{"id":"https://openalex.org/C288623","wikidata":"https://www.wikidata.org/wiki/Q679800","display_name":"Nyquist\u2013Shannon sampling theorem","level":2,"score":0.5420085191726685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5384426712989807},{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.5338049530982971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5268855094909668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3689624071121216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.326850950717926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2661435604095459},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2012.6202472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2012.6202472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Southwest Symposium on Image Analysis and Interpretation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1980510805","https://openalex.org/W2015418199","https://openalex.org/W2029816571","https://openalex.org/W2068105919","https://openalex.org/W2101675075","https://openalex.org/W2107882641","https://openalex.org/W2107906890","https://openalex.org/W2119667497","https://openalex.org/W2121752514","https://openalex.org/W2133758130","https://openalex.org/W2143168132","https://openalex.org/W2143470728","https://openalex.org/W2168399082","https://openalex.org/W2168668658"],"related_works":["https://openalex.org/W1595179898","https://openalex.org/W3011226087","https://openalex.org/W2212041357","https://openalex.org/W2895530314","https://openalex.org/W3214931932","https://openalex.org/W2949399405","https://openalex.org/W4301619540","https://openalex.org/W1959447026","https://openalex.org/W2468414543","https://openalex.org/W3000185773"],"abstract_inverted_index":{"Compressive":[0],"sensing":[1],"(CS)":[2],"can":[3],"be":[4],"applied":[5],"to":[6,12,52],"fast":[7],"wavelet-encoded":[8,86],"MRI":[9,26,65],"in":[10,41,46,50,63],"order":[11,51],"reconstruct":[13],"images":[14],"from":[15],"sparse":[16,25],"sampling":[17,20,32],"at":[18],"sub-Nyquist":[19],"rates.":[21],"In":[22],"this":[23],"paper,":[24],"is":[27,48,61],"achieved":[28,113],"by":[29,67,114],"a":[30,64],"well-designed":[31],"matrix":[33],"that":[34,96],"satisfies":[35],"the":[36,54,97,102,109,115],"restricted":[37],"isometry":[38],"property":[39],"(RIP)":[40],"CS.":[42],"The":[43,57,79,92],"wavelet-tree":[44],"structure":[45],"k-space":[47,60,82],"utilized":[49],"reduce":[53],"RIP":[55],"constant.":[56],"undersampling":[58],"of":[59,104],"implemented":[62],"simulator":[66],"spatially-selective":[68],"RF":[69],"excitation":[70],"pulses,":[71],"which":[72],"are":[73],"designed":[74],"as":[75],"Battle-Lemarie":[76],"wavelet":[77],"functions.":[78],"resulting":[80],"undersampled":[81],"contains":[83],"many":[84],"significant":[85],"samples":[87],"and":[88],"an":[89],"improved":[90],"RIP.":[91],"experimental":[93],"results":[94],"show":[95],"proposed":[98],"CS-MRI":[99],"scheme":[100],"reduced":[101],"number":[103],"necessary":[105],"measurements":[106],"significantly":[107],"with":[108],"same":[110],"reconstruction":[111],"precision":[112],"current":[116],"Fourier-encoded":[117],"CS-MRI.":[118]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}