{"id":"https://openalex.org/W2766409986","doi":"https://doi.org/10.23919/eusipco.2017.8081582","title":"Structurally random Fourier domain compressive sampling and frequency domain beamforming for ultrasound imaging","display_name":"Structurally random Fourier domain compressive sampling and frequency domain beamforming for ultrasound imaging","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2766409986","doi":"https://doi.org/10.23919/eusipco.2017.8081582","mag":"2766409986"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081582","doi":"https://doi.org/10.23919/eusipco.2017.8081582","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081582","pdf_url":null,"source":{"id":"https://openalex.org/S4363607788","display_name":"European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1159940","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103063129","display_name":"Foroohar Foroozan","orcid":"https://orcid.org/0000-0002-9408-9741","observed_orcids":["https://orcid.org/0000-0002-9408-9741"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Foroohar Foroozan","raw_affiliation_strings":["Analog Devices, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Analog Devices, Toronto, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007096878","display_name":"Rozhin Yousefi","orcid":"https://orcid.org/0000-0003-2402-5467","observed_orcids":["https://orcid.org/0000-0003-2402-5467"]},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rozhin Yousefi","raw_affiliation_strings":["IBBME, University of Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBBME, University of Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068612701","display_name":"Parastoo Sadeghi","orcid":"https://orcid.org/0000-0002-9965-9483","observed_orcids":["https://orcid.org/0000-0002-9965-9483"]},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Parastoo Sadeghi","raw_affiliation_strings":["Australian National University, Canberra, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027024186","display_name":"Michael C. Kolios","orcid":"https://orcid.org/0000-0002-9994-8293","observed_orcids":["https://orcid.org/0000-0002-9994-8293"]},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michael C. Kolios","raw_affiliation_strings":["Ryerson University, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ryerson University, Toronto, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"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":0.24213333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"2111","last_page":"2115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.8672000169754028,"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":0.8672000169754028,"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":0.07919999957084656,"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":0.007699999958276749,"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/compressed-sensing","display_name":"compressed sensing","score":0.7689999938011169},{"id":"https://openalex.org/keywords/structured-random-matrices","display_name":"structured random matrices","score":0.7170000076293945},{"id":"https://openalex.org/keywords/frequency-domain-beamforming","display_name":"frequency-domain beamforming","score":0.949999988079071},{"id":"https://openalex.org/keywords/ultrasound-image-reconstruction","display_name":"ultrasound image reconstruction","score":0.7960000038146973},{"id":"https://openalex.org/keywords/point-of-care-ultrasound","display_name":"point-of-care ultrasound","score":0.9869999885559082},{"id":"https://openalex.org/keywords/two-dimensional-ultrasound","display_name":"two-dimensional ultrasound","score":0.6840000152587891},{"id":"https://openalex.org/keywords/data-acquisition-reduction","display_name":"data acquisition reduction","score":0.5320000052452087},{"id":"https://openalex.org/keywords/carotid-imaging","display_name":"carotid artery imaging","score":0.8059999942779541},{"id":"https://openalex.org/keywords/wire-phantom","display_name":"wire phantom","score":0.48100000619888306}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6950694918632507},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6934028267860413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055865287780762},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.5947422981262207},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5562247037887573},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.546213686466217},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4986875057220459},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4955381155014038},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43432775139808655},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4273817837238312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4197659492492676},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4161064624786377},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2358739674091339},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1675397753715515},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14986473321914673},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.1135515570640564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1125883162021637},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08603700995445251},{"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.23919/eusipco.2017.8081582","doi":"https://doi.org/10.23919/eusipco.2017.8081582","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081582","pdf_url":null,"source":{"id":"https://openalex.org/S4363607788","display_name":"European Signal Processing Conference (EUSIPCO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"doi:10.32920/27913407","doi":"https://doi.org/10.32920/27913407","is_oa":false,"landing_page_url":"https://doi.org/10.32920/27913407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Toronto Metropolitan University","raw_type":"posted-content"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/204448","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/204448","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"25th European Signal Processing Conference, EUSIPCO 2017","raw_type":"Conference paper"},{"id":"pmh:oai:zenodo.org:1159940","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/1159940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},{"id":"doi:10.5281/zenodo.1159939","doi":"https://doi.org/10.5281/zenodo.1159939","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1159939","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.1159940","doi":"https://doi.org/10.5281/zenodo.1159940","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1159940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1159940","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/1159940","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W560926363","https://openalex.org/W1023732853","https://openalex.org/W1528134863","https://openalex.org/W1774526428","https://openalex.org/W1774599862","https://openalex.org/W1966637115","https://openalex.org/W1984305442","https://openalex.org/W1989970939","https://openalex.org/W2002758948","https://openalex.org/W2018426687","https://openalex.org/W2035094989","https://openalex.org/W2056283746","https://openalex.org/W2065656021","https://openalex.org/W2089957712","https://openalex.org/W2109357213","https://openalex.org/W2111273705","https://openalex.org/W2115706991","https://openalex.org/W2127271355","https://openalex.org/W2127712303","https://openalex.org/W2130040209","https://openalex.org/W2133665775","https://openalex.org/W2140157092","https://openalex.org/W2145096794","https://openalex.org/W2155792383","https://openalex.org/W2159563318","https://openalex.org/W2162547327","https://openalex.org/W2338600608","https://openalex.org/W2396076372","https://openalex.org/W2535845769","https://openalex.org/W2803670972","https://openalex.org/W4205390861","https://openalex.org/W4300419407"],"related_works":["https://openalex.org/W2537798423","https://openalex.org/W2153968719","https://openalex.org/W2023143321","https://openalex.org/W1987902389","https://openalex.org/W2372038329","https://openalex.org/W2770158657","https://openalex.org/W2582249465","https://openalex.org/W2014782651","https://openalex.org/W2130040209","https://openalex.org/W2018426687"],"abstract_inverted_index":{"Advances":[0],"in":[1,79,98],"ultrasound":[2,72,87,104,117],"technology":[3],"have":[4],"fueled":[5],"the":[6,25,30,38,112],"emergence":[7],"of":[8,24,32,71,111,119],"Point-Of-Care":[9],"Ultrasound":[10],"(PoCU)":[11],"imaging,":[12],"including":[13],"improved":[14],"ease-of-use,":[15],"superior":[16],"image":[17,51,88],"quality,":[18],"and":[19,50,81,97,109,116],"lower":[20],"cost":[21],"ultrasound.":[22],"One":[23],"approaches":[26],"that":[27],"can":[28,53],"make":[29,37],"adoption":[31],"PoCU":[33],"universal":[34],"is":[35,92],"to":[36],"data":[39,102,114],"acquisition":[40],"module":[41],"as":[42,44],"simple":[43],"a":[45],"\"stethoscope\"":[46],"while":[47],"further":[48],"processing":[49],"construction":[52],"be":[54],"done":[55],"using":[56,106],"cloud-based":[57],"processors.":[58],"Toward":[59],"this":[60],"goal,":[61],"we":[62],"use":[63],"Structurally":[64],"Random":[65],"Matrices":[66],"(SRM)":[67],"for":[68,77,85],"compressive":[69],"sensing":[70],"data,":[73],"Fourier":[74],"sparsifying":[75],"matrix":[76],"recovery":[78],"1D,":[80],"frequency":[82],"domain":[83],"approach":[84,91],"2D":[86],"reconstruction.":[89],"This":[90],"demonstrated":[93],"through":[94],"wire":[95],"phantom":[96],"vivo":[99],"carotid":[100],"arteries":[101],"from":[103],"system":[105],"25%,":[107],"12.5%,":[108],"6.25%":[110],"full":[113],"rate":[115],"images":[118],"similar":[120],"perceived":[121],"quality":[122],"quantified":[123],"by":[124],"Structural":[125],"Similarity":[126],"Index":[127],"Metric":[128],"(SSIM).":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2017-11-10T00:00:00"}