{"id":"https://openalex.org/W2534875008","doi":"https://doi.org/10.1109/embc.2016.7591417","title":"Effects of phase aberration correction methods on the minimum variance beamformer","display_name":"Effects of phase aberration correction methods on the minimum variance beamformer","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2534875008","doi":"https://doi.org/10.1109/embc.2016.7591417","mag":"2534875008","pmid":"https://pubmed.ncbi.nlm.nih.gov/28268996"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7591417","is_oa":false,"landing_page_url":"http://doi.org/10.1109/embc.2016.7591417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th 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/A5063725458","display_name":"Gustavo Chau","orcid":"https://orcid.org/0000-0002-3153-3868"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontifical Catholic University of Peru","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"Gustavo R. Chau","raw_affiliation_strings":["Laboratorio de Imagenes Medicas, Pontificia Universidad Catolica del Peru, Lima, Peru"],"affiliations":[{"raw_affiliation_string":"Laboratorio de Imagenes Medicas, Pontificia Universidad Catolica del Peru, Lima, Peru","institution_ids":["https://openalex.org/I65285256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091413823","display_name":"Jeremy Dahl","orcid":"https://orcid.org/0000-0001-9877-452X"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeremy J. Dahl","raw_affiliation_strings":["Ultrasound Laboratory, Department of Radiology, Stanford University, CA, USA"],"affiliations":[{"raw_affiliation_string":"Ultrasound Laboratory, Department of Radiology, Stanford University, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038540622","display_name":"Roberto Lavarello","orcid":"https://orcid.org/0000-0001-8472-5161"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontifical Catholic University of Peru","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Roberto J. Lavarello","raw_affiliation_strings":["Laboratorio de Imagenes Medicas, Pontificia Universidad Catolica del Peru, Lima, Peru"],"affiliations":[{"raw_affiliation_string":"Laboratorio de Imagenes Medicas, Pontificia Universidad Catolica del Peru, Lima, Peru","institution_ids":["https://openalex.org/I65285256"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063725458"],"corresponding_institution_ids":["https://openalex.org/I65285256"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11963061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"3231","last_page":"3234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9998000264167786,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.686068594455719},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6450332403182983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5606374740600586},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5344765782356262},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.505115807056427},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4839808940887451},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.45085448026657104},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.45019862055778503},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4215394854545593},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4121677875518799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3894299864768982},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2233949601650238},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.22089523077011108},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2040340006351471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16573691368103027},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14868876338005066},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12070706486701965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09220808744430542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08857741951942444}],"concepts":[{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.686068594455719},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6450332403182983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5606374740600586},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5344765782356262},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.505115807056427},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4839808940887451},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.45085448026657104},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.45019862055778503},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4215394854545593},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4121677875518799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3894299864768982},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2233949601650238},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.22089523077011108},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2040340006351471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16573691368103027},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14868876338005066},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12070706486701965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09220808744430542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08857741951942444},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"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":"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":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2016.7591417","is_oa":false,"landing_page_url":"http://doi.org/10.1109/embc.2016.7591417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28268996","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28268996","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":[{"id":"https://openalex.org/F4320327333","display_name":"Pontificia Universidad Cat\u00f3lica del Per\u00fa","ror":"https://ror.org/00013q465"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1600902065","https://openalex.org/W1733340718","https://openalex.org/W1965931978","https://openalex.org/W1991854144","https://openalex.org/W2081359092","https://openalex.org/W2095789474","https://openalex.org/W2102502738","https://openalex.org/W2105909006","https://openalex.org/W2123908547","https://openalex.org/W2128921817","https://openalex.org/W2164256114","https://openalex.org/W2167589082","https://openalex.org/W2169198655","https://openalex.org/W6637500814","https://openalex.org/W6676315433"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2009075871","https://openalex.org/W2033329112","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W2803318287","https://openalex.org/W3013496310","https://openalex.org/W2606661315"],"abstract_inverted_index":{"The":[0,126],"minimum":[1],"variance":[2],"(MV)":[3],"beamformer":[4,85,117,134,162,261],"is":[5,152,167,194],"a":[6,83],"method":[7],"that":[8,154,197],"has":[9],"the":[10,14,40,53,60,92,112,115,119,132,160,180,202,233,248,259,267],"potential":[11],"to":[12,26,48,165,215,226,230,237,245,252,262],"enhance":[13],"resolution":[15,182,212],"and":[16,31,104,108,139,235,241,250],"contrast":[17,228],"of":[18,28,42,55,62,75,114,121,159,178,183],"ultrasound":[19],"images.":[20],"However,":[21],"it":[22],"suffers":[23],"from":[24,213],"sensitivity":[25],"speed":[27],"sound":[29],"errors":[30],"aberration.":[32],"Although":[33],"there":[34],"have":[35],"been":[36],"several":[37],"studies":[38],"on":[39,87,111,137],"application":[41],"phase":[43,63,124,149],"aberration":[44,64,171,179,269],"correction":[45],"(PAC)":[46],"methods":[47,57,128,200,207],"conventional":[49],"delay-and-sum":[50],"(DAS)":[51],"beamforming,":[52],"benefits":[54],"PAC":[56,88,98,127,199,206],"in":[58,65,81,91,118,129,157,210,221,266],"mitigating":[59],"effects":[61],"MV":[66,116,133,161,189,204,260],"beamformed":[67],"images":[68],"are":[69,219],"not":[70],"well":[71],"understood.":[72],"A":[73],"study":[74,95],"this":[76],"type":[77],"would":[78],"be":[79],"helpful":[80],"designing":[82],"robust":[84],"based":[86],"knowledge":[89],"present":[90],"literature.":[93],"This":[94],"analyzes":[96],"three":[97],"algorithms":[99],"(multi-lag":[100],"cross-correlation,":[101],"Rigby's":[102],"beamsum":[103],"scaled":[105],"covariance":[106],"matrix)":[107],"their":[109],"impact":[110],"performance":[113,158],"presence":[120],"second":[122],"order":[123],"aberrations.":[125],"combination":[130],"with":[131,143,163],"were":[135],"tested":[136],"simulated":[138],"experimental":[140],"data":[141],"corrupted":[142],"an":[144],"electronically":[145],"created":[146],"near":[147],"field":[148],"aberrator.":[150],"It":[151,193],"shown":[153,196],"all":[155],"gains":[156],"respect":[164],"DAS":[166,184,264],"lost":[168],"at":[169,175],"high":[170],"strengths.":[172],"For":[173],"instance,":[174],"60":[176],"ns":[177],"lateral":[181,211],"degrades":[185,190],"by":[186,191],"22%":[187],"while":[188],"600%.":[192],"also":[195],"basic":[198],"improve":[201],"aberrated":[203],"beamformer.":[205],"reduces":[208],"degradation":[209],"600%":[214],"5%.":[216],"Similar":[217],"improvements":[218],"observed":[220],"peak":[222],"sidelobe":[223],"level":[224],"(96%":[225],"27%),":[227],"(88%":[229],"49%":[231],"for":[232,239,247,254],"simulations":[234,249],"43%":[236],"15%":[238],"experiments)":[240],"contrast-to-noise":[242],"ratio":[243],"(86%":[244],"42%":[246],"68%":[251],"55%":[253],"experiments).":[255],"These":[256],"enhancements":[257],"allow":[258],"outperform":[263],"even":[265],"strongest":[268],"case.":[270]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
