{"id":"https://openalex.org/W1983628076","doi":"https://doi.org/10.1109/embc.2013.6610077","title":"Accelerating k-t sparse using k-space aliasing for dynamic MRI imaging","display_name":"Accelerating k-t sparse using k-space aliasing for dynamic MRI imaging","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1983628076","doi":"https://doi.org/10.1109/embc.2013.6610077","mag":"1983628076","pmid":"https://pubmed.ncbi.nlm.nih.gov/24110264"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6610077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6610077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","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/A5077684243","display_name":"Kamlesh Pawar","orcid":"https://orcid.org/0000-0001-6199-2312"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","IN"],"is_corresponding":false,"raw_author_name":"Kamlesh Pawar","raw_affiliation_strings":["Department of Electrical and Computer System Engineering, Indian Institute of Technology Bombay, Mumbai, India","[Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer System Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia]","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016614292","display_name":"Gary F. Egan","orcid":"https://orcid.org/0000-0002-3186-4026"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gary F. Egan","raw_affiliation_strings":["Monash Biomedical Imaging, Monash University, Clayton, Australia","Monash Biomed. Imaging, Monash Univ., Clayton, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash Biomedical Imaging, Monash University, Clayton, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"Monash Biomed. Imaging, Monash Univ., Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630361","display_name":"Jingxin Zhang","orcid":"https://orcid.org/0000-0002-4659-9624"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]},{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jingxin Zhang","raw_affiliation_strings":["Faculty of Engineering and Industrial Sciences, Swinburne Univeristy of Technology, Hawthorn, Australia","[Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Industrial Sciences, Swinburne Univeristy of Technology, Hawthorn, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia]","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08567516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2013","issue":null,"first_page":"2619","last_page":"2623"},"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":0.998199999332428,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9936000108718872,"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/aliasing","display_name":"Aliasing","score":0.8481783866882324},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.845156192779541},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.8008247017860413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6206287741661072},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5879562497138977},{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.5547077059745789},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5139304995536804},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.43890029191970825},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.43296435475349426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42206189036369324},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41694965958595276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22960570454597473},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19413751363754272},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.14153429865837097},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.12441450357437134}],"concepts":[{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.8481783866882324},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.845156192779541},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.8008247017860413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6206287741661072},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5879562497138977},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.5547077059745789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5139304995536804},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.43890029191970825},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.43296435475349426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42206189036369324},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41694965958595276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22960570454597473},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19413751363754272},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.14153429865837097},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.12441450357437134},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"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":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6610077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6610077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24110264","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24110264","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":19,"referenced_works":["https://openalex.org/W2011721142","https://openalex.org/W2053694647","https://openalex.org/W2054201780","https://openalex.org/W2081889156","https://openalex.org/W2108353674","https://openalex.org/W2112757263","https://openalex.org/W2115186446","https://openalex.org/W2123346066","https://openalex.org/W2132122471","https://openalex.org/W2155268695","https://openalex.org/W2168933312","https://openalex.org/W2171752072","https://openalex.org/W2291260727","https://openalex.org/W2772063519","https://openalex.org/W2773484101","https://openalex.org/W4249570752","https://openalex.org/W6697082711","https://openalex.org/W6746406447","https://openalex.org/W6747170323"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W2030107647","https://openalex.org/W1526570822","https://openalex.org/W2187562763","https://openalex.org/W2403497916","https://openalex.org/W1964808148","https://openalex.org/W2029015206","https://openalex.org/W4385554926","https://openalex.org/W2907262162","https://openalex.org/W2138520052"],"abstract_inverted_index":{"Dynamic":[0],"imaging":[1],"is":[2,18,177],"challenging":[3],"in":[4,32,52,67,179],"MRI":[5,61],"and":[6,42,109,165,175],"acceleration":[7,20,115,170],"techniques":[8],"are":[9],"usually":[10],"needed":[11],"to":[12,78,105,112,143],"acquire":[13,80],"dynamic":[14,44,60],"scene.":[15],"K-t":[16],"sparse":[17,108,164],"an":[19],"technique":[21,58,72,121,168],"based":[22],"on":[23,181],"compressed":[24,132,153],"sensing,":[25,133],"it":[26],"acquires":[27],"fewer":[28],"amounts":[29],"of":[30,39,49,118,131,136,139,146,156,162,172],"data":[31,66],"k-t":[33,50,107,163],"space":[34,51],"by":[35,46,63],"pseudo":[36],"random":[37],"ordering":[38],"phase":[40,141,148],"encodes":[41,142],"reconstructs":[43],"scene":[45],"exploiting":[47],"sparsity":[48],"transform":[53],"domain.":[54],"Another":[55],"recently":[56],"introduced":[57],"accelerates":[59],"scans":[62],"acquiring":[64],"k-space":[65,82,110],"aliased":[68,81,97],"form.":[69],"K-space":[70],"aliasing":[71,111],"uses":[73],"multiple":[74],"RF":[75],"excitation":[76],"pulses":[77],"deliberately":[79],"data.":[83,98,183],"During":[84],"reconstruction":[85,157],"a":[86,102,127],"simple":[87],"Fourier":[88],"transformation":[89],"along":[90],"time":[91],"frames":[92],"can":[93],"unaliase":[94],"the":[95,119,134,137,144,166],"acquired":[96,140],"This":[99],"paper":[100],"presents":[101],"novel":[103],"method":[104],"combine":[106],"achieve":[113],"higher":[114],"than":[116],"each":[117],"individual":[120],"alone.":[122],"In":[123],"this":[124],"particular":[125],"combination,":[126],"very":[128],"critical":[129],"factor":[130],"ratio":[135],"number":[138,145],"total":[147],"encode":[149],"(n/N)":[150],"increases":[151],"therefore":[152],"sensing":[154],"component":[155],"performs":[158],"exceptionally":[159],"well.":[160],"Comparison":[161],"proposed":[167],"for":[169],"factors":[171],"4,":[173],"6":[174],"8":[176],"demonstrated":[178],"simulation":[180],"cardiac":[182]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
