{"id":"https://openalex.org/W2018225730","doi":"https://doi.org/10.1109/icassp.2014.6854876","title":"Compressed sensing for magnetic resonance images with phase variations","display_name":"Compressed sensing for magnetic resonance images with phase variations","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2018225730","doi":"https://doi.org/10.1109/icassp.2014.6854876","mag":"2018225730"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101773852","display_name":"Satoshi Ito","orcid":"https://orcid.org/0000-0002-4647-563X"},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Ito","raw_affiliation_strings":["Research Division of Intelligence and Information Sciences, Utsunomiya Univ., Utsunomiya, Japan","Res. Div. of Intell. & Inf. Sci., Utsunomiya Univ., Utsunomiya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Division of Intelligence and Information Sciences, Utsunomiya Univ., Utsunomiya, Japan","institution_ids":["https://openalex.org/I207399273"]},{"raw_affiliation_string":"Res. Div. of Intell. & Inf. Sci., Utsunomiya Univ., Utsunomiya, Japan","institution_ids":["https://openalex.org/I207399273"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102139229","display_name":"Yoshifumi Yamada","orcid":null},"institutions":[{"id":"https://openalex.org/I207399273","display_name":"Utsunomiya University","ror":"https://ror.org/05bx1gz93","country_code":"JP","type":"education","lineage":["https://openalex.org/I207399273"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshifumi Yamada","raw_affiliation_strings":["Research Division of Intelligence and Information Sciences, Utsunomiya Univ., Utsunomiya, Japan","Res. Div. of Intell. & Inf. Sci., Utsunomiya Univ., Utsunomiya, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Division of Intelligence and Information Sciences, Utsunomiya Univ., Utsunomiya, Japan","institution_ids":["https://openalex.org/I207399273"]},{"raw_affiliation_string":"Res. Div. of Intell. & Inf. Sci., Utsunomiya Univ., Utsunomiya, Japan","institution_ids":["https://openalex.org/I207399273"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I207399273"],"apc_list":null,"apc_paid":null,"fwci":0.3848,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63524799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6598","last_page":"6601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9991999864578247,"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":0.9990000128746033,"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/compressed-sensing","display_name":"Compressed sensing","score":0.7059736847877502},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6469531059265137},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.578941822052002},{"id":"https://openalex.org/keywords/phase-space","display_name":"Phase space","score":0.557222306728363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5542423725128174},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5433330535888672},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5415904521942139},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5386180281639099},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5315313935279846},{"id":"https://openalex.org/keywords/k-space","display_name":"k-space","score":0.5261770486831665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5254423022270203},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4833202362060547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4700424075126648},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4587249457836151},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43712976574897766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3287467956542969},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.3136455714702606},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.22390475869178772},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.1231653094291687},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09342736005783081}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.7059736847877502},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6469531059265137},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.578941822052002},{"id":"https://openalex.org/C151342819","wikidata":"https://www.wikidata.org/wiki/Q62542","display_name":"Phase space","level":2,"score":0.557222306728363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5542423725128174},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5433330535888672},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5415904521942139},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5386180281639099},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5315313935279846},{"id":"https://openalex.org/C197413143","wikidata":"https://www.wikidata.org/wiki/Q1050490","display_name":"k-space","level":3,"score":0.5261770486831665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254423022270203},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4833202362060547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4700424075126648},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4587249457836151},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43712976574897766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3287467956542969},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3136455714702606},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.22390475869178772},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.1231653094291687},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09342736005783081},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1483454560","https://openalex.org/W1514248469","https://openalex.org/W1998701654","https://openalex.org/W2041883052","https://openalex.org/W2101675075","https://openalex.org/W2133665775","https://openalex.org/W2296616510","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2896778670","https://openalex.org/W2951714568","https://openalex.org/W1988158806","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W1995070803","https://openalex.org/W2801815023"],"abstract_inverted_index":{"The":[0,100],"application":[1],"of":[2,19,79,112,118,137],"compressed":[3],"sensing":[4],"(CS)":[5],"to":[6,11,46,50,66,73,92,140],"MRI":[7],"has":[8],"the":[9,17,26,34,57,69,74,80,89,113,121,129,141],"potential":[10],"significantly":[12],"reduce":[13],"scan":[14],"time.":[15],"However,":[16],"quality":[18,136],"reconstructed":[20],"images":[21,28,119,138],"will":[22],"be":[23,84],"degraded":[24],"when":[25],"MR":[27,54],"have":[29],"strong":[30],"phase":[31,51],"variations.":[32],"In":[33],"present":[35],"paper,":[36],"we":[37],"propose":[38],"a":[39,134],"new":[40],"CS":[41,131],"method":[42,102,132],"that":[43,128],"is":[44,62],"easy":[45],"implement":[47],"and":[48,76,109,115],"robust":[49],"variations":[52],"on":[53],"images.":[55],"When":[56],"signal":[58,71,91],"trajectory":[59],"in":[60],"k-space":[61,70,90,107],"symmetrical":[63,106],"with":[64],"respect":[65],"its":[67],"origin,":[68],"corresponding":[72],"real":[75,114],"imaginary":[77,116],"parts":[78,117],"complex":[81],"image":[82],"can":[83],"synthesized":[85],"independently":[86],"by":[87],"restricting":[88],"an":[93,97],"even":[94],"function":[95],"or":[96],"odd":[98],"function.":[99],"proposed":[101,130],"involves":[103],"random":[104],"but":[105],"acquisition":[108],"independent":[110],"reconstruction":[111],"using":[120],"real-valued":[122],"constraint.":[123],"Several":[124],"numerical":[125],"experiments":[126],"demonstrate":[127],"provides":[133],"better":[135],"compared":[139],"other":[142],"methods.":[143]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
