{"id":"https://openalex.org/W2090268707","doi":"https://doi.org/10.1117/12.878347","title":"Iterative wavelet thresholding for rapid MRI reconstruction","display_name":"Iterative wavelet thresholding for rapid MRI reconstruction","publication_year":2011,"publication_date":"2011-03-03","ids":{"openalex":"https://openalex.org/W2090268707","doi":"https://doi.org/10.1117/12.878347","mag":"2090268707"},"language":"en","primary_location":{"id":"doi:10.1117/12.878347","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.878347","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5015281486","display_name":"Mohammad H. Kayvanrad","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mohammad H. Kayvanrad","raw_affiliation_strings":["Robarts Research Institute  (Canada)","The Univ. of Western Ontario (Canada)"],"affiliations":[{"raw_affiliation_string":"Robarts Research Institute  (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082021039","display_name":"Charles A. McKenzie","orcid":"https://orcid.org/0000-0002-9614-1582"},"institutions":[{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]},{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Charles A. McKenzie","raw_affiliation_strings":["The Univ. of Western Ontario (Canada)","Robarts Research Institute  (Canada)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Robarts Research Institute  (Canada)","institution_ids":["https://openalex.org/I4210105758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111897184","display_name":"Terry M. Peters","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]},{"id":"https://openalex.org/I4210105758","display_name":"Robarts Clinical Trials","ror":"https://ror.org/01e36dv41","country_code":"CA","type":"facility","lineage":["https://openalex.org/I125749732","https://openalex.org/I4210105758","https://openalex.org/I4405252475"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Terry M. Peters","raw_affiliation_strings":["Robarts Research Institute  (Canada)","The Univ. of Western Ontario (Canada)"],"affiliations":[{"raw_affiliation_string":"Robarts Research Institute  (Canada)","institution_ids":["https://openalex.org/I4210105758"]},{"raw_affiliation_string":"The Univ. of Western Ontario (Canada)","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015281486"],"corresponding_institution_ids":["https://openalex.org/I125749732","https://openalex.org/I4210105758"],"apc_list":null,"apc_paid":null,"fwci":0.7625,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74215688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7962","issue":null,"first_page":"79624S","last_page":"79624S"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6922680735588074},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6795827150344849},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6352630853652954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.630304753780365},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6125537157058716},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5935823321342468},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.5314775109291077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5181592702865601},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.49956846237182617},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.44486433267593384},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.42119747400283813},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.4168972671031952},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3694659173488617},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3629118800163269},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18668976426124573}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6922680735588074},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6795827150344849},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352630853652954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.630304753780365},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6125537157058716},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5935823321342468},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.5314775109291077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5181592702865601},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.49956846237182617},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.44486433267593384},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.42119747400283813},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.4168972671031952},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3694659173488617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3629118800163269},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18668976426124573},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.878347","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.878347","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W4285251805","https://openalex.org/W3104324607","https://openalex.org/W4386634531","https://openalex.org/W3205778756","https://openalex.org/W2308961925","https://openalex.org/W2077694017","https://openalex.org/W2087312114","https://openalex.org/W4206981968","https://openalex.org/W1485082952"],"abstract_inverted_index":{"According":[0],"to":[1,32,71,161,177,192],"the":[2,5,18,30,41,60,73,105,119,156,159,164,185,203,207,217],"developments":[3],"in":[4,52,55,142,202,206,216],"field":[6],"of":[7,17,20,62,75,91,104,107,121,129,139,169,187,209,219,225],"compressed":[8],"sampling":[9,43],"and":[10,11,65,131,175,197,205],"sparse":[12,51],"recovery,":[13],"one":[14],"might":[15],"take\r\nadvantage":[16],"sparsity":[19,106,160],"an":[21,24,85],"object,":[22,31],"as":[23,153],"additional":[25],"a":[26,116,127,223],"priori":[27],"knowledge":[28],"about":[29],"reconstruct\r\nit":[33],"from":[34,94,222],"fewer":[35],"samples":[36],"than":[37],"that":[38,144,184],"needed":[39],"by":[40],"traditional":[42],"strategies.":[44],"Since":[45],"most":[46,108],"magnetic":[47],"resonance\r\n(MR)":[48],"images":[49,93,110,141],"are":[50,145],"some":[53],"domain,":[54],"this":[56,69],"work":[57],"we":[58],"consider":[59],"problem":[61],"MR":[63,76,92,109,135],"reconstruction":[64,90,165,188,218],"how\r\none":[66],"could":[67],"apply":[68],"idea":[70],"accelerate":[72],"process":[74],"image/map":[77],"acquisition.":[78],"In":[79,181],"particular,":[80],"based":[81],"on":[82,155],"the\r\nPaupolis-Gerchgerg":[83],"algorithm,":[84],"iterative":[86],"thresholding":[87,130],"algorithm":[88,200],"for":[89],"limited\r\nk-space":[95],"observations":[96],"is":[97,123,172,189],"proposed.":[98],"The":[99,167],"proposed":[100],"method":[101],"takes":[102],"advantage":[103],"in\r\nthe":[111],"wavelet":[112],"domain.":[113],"Initializing":[114],"with":[115],"minimum-energy":[117],"reconstruction,":[118],"object":[120,157],"interest":[122],"reconstructed\r\nby":[124],"going":[125],"through":[126],"sequence":[128],"recovery":[132],"iterations.":[133],"Furthermore,":[134],"studies":[136],"often":[137],"involve\r\nacquisition":[138],"multiple":[140],"time":[143],"highly":[146,226],"correlated.":[147],"This":[148],"correlation":[149],"can":[150],"be":[151],"used":[152],"additional\r\nknowledge":[154],"beside":[158],"further":[162],"reduce":[163],"time.":[166],"performance":[168],"the\r\nproposed":[170],"algorithms":[171],"experimentally":[173],"evaluated":[174],"compared":[176,191],"other":[178],"state-of-the-art":[179],"methods.":[180],"particular,\r\nwe":[182],"show":[183,213],"quality":[186],"increased":[190],"total":[193],"variation":[194],"(TV)":[195],"regularization,":[196],"the\r\nconventional":[198],"Papoulis-Gerchberg":[199],"both":[201],"absence":[204],"presence":[208],"noise.":[210],"Also,":[211],"phantom\r\nexperiments":[212],"good":[214],"accuracy":[215],"relaxation":[220],"maps":[221],"set":[224],"undersampled\r\nk-space":[227],"observations.":[228]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}