{"id":"https://openalex.org/W3159970517","doi":"https://doi.org/10.1109/isspit51521.2020.9408713","title":"Resolution, Sidelobe, and Contrast Analysis of Ultrasound Fourier Based High Frame Rate Imaging","display_name":"Resolution, Sidelobe, and Contrast Analysis of Ultrasound Fourier Based High Frame Rate Imaging","publication_year":2020,"publication_date":"2020-12-09","ids":{"openalex":"https://openalex.org/W3159970517","doi":"https://doi.org/10.1109/isspit51521.2020.9408713","mag":"3159970517"},"language":"en","primary_location":{"id":"doi:10.1109/isspit51521.2020.9408713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit51521.2020.9408713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045393373","display_name":"Zhaohui Wang","orcid":"https://orcid.org/0000-0002-6291-7338"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhaohui Wang","raw_affiliation_strings":["North Carolina A&T State University, Greensboro, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Carolina A&T State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5045393373"],"corresponding_institution_ids":["https://openalex.org/I35777872"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28338279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.998199999332428,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.998199999332428,"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":0.9969000220298767,"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/T10958","display_name":"Ultrasound and Hyperthermia Applications","score":0.9898999929428101,"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/hfr-cell","display_name":"Hfr cell","score":0.9993276596069336},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.503170907497406},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.44834181666374207},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.4167959690093994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.13937494158744812},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.10501450300216675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08828994631767273}],"concepts":[{"id":"https://openalex.org/C109297637","wikidata":"https://www.wikidata.org/wiki/Q492907","display_name":"Hfr cell","level":4,"score":0.9993276596069336},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.503170907497406},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.44834181666374207},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4167959690093994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.13937494158744812},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.10501450300216675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08828994631767273},{"id":"https://openalex.org/C547475151","wikidata":"https://www.wikidata.org/wiki/Q25419","display_name":"Escherichia coli","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit51521.2020.9408713","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit51521.2020.9408713","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W615872992","https://openalex.org/W1975775713","https://openalex.org/W1979781506","https://openalex.org/W1987902389","https://openalex.org/W2038522815","https://openalex.org/W2047488822","https://openalex.org/W2102925984","https://openalex.org/W2129140100","https://openalex.org/W2129700943","https://openalex.org/W2136972275","https://openalex.org/W2140446601","https://openalex.org/W2143398273","https://openalex.org/W2160373009","https://openalex.org/W2162774107","https://openalex.org/W2162997589","https://openalex.org/W2163150860","https://openalex.org/W2165383438","https://openalex.org/W2165995642","https://openalex.org/W2531385724","https://openalex.org/W4253046425","https://openalex.org/W6684224297"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2050194483","https://openalex.org/W3159970517","https://openalex.org/W2032065809","https://openalex.org/W2010351083","https://openalex.org/W1962641975","https://openalex.org/W2047279422","https://openalex.org/W2431610312","https://openalex.org/W2162562077","https://openalex.org/W2935759653"],"abstract_inverted_index":{"Recently,":[0],"a":[1,63,72,248],"variable":[2],"frame":[3,218,233,250],"rate":[4,219,251],"imaging":[5,23,220],"method":[6,150,221,230],"based":[7],"on":[8,85,142,153],"Fourier":[9,254],"transformation":[10],"has":[11,136],"been":[12,46],"developed":[13],"to":[14,57],"increase":[15],"resolution":[16,87,111,240],"and":[17,39,66,80,88,106,127,133,148,169,187,228,241],"reduce":[18],"sidelobe.":[19,139],"Experiments":[20],"with":[21,92,159,197,252],"the":[22,50,86,96,137,143,209,216,225,236],"methods":[24],"including":[25],"D&S,":[26,126,186],"1-angle":[27],"HFR":[28,32,36,41,102,104,107,120,122,124,128,134,147,180,182,184,188,206],"(HFR":[29,33,37,42],"1),":[30],"11-angle":[31],"11),":[34],"19-angle":[35],"19),":[38],"91-angle":[40],"91)":[43],"have":[44,109],"also":[45],"carried":[47],"out.":[48],"In":[49],"experiment,":[51],"one":[52,154],"linear":[53],"array":[54,70],"was":[55],"used":[56],"construct":[58],"2D":[59],"B-mode":[60],"images":[61,243],"for":[62,119,179],"tissue-equivalent":[64,155],"phantom":[65],"pointer":[67,93],"scatterer.":[68],"The":[69,83,117,140,173,201],"had":[71],"center":[73],"frequency":[74],"of":[75,78,176,205],"2.5MHz,":[76],"dimensions":[77],"19.2mm\u00d714mm,":[79],"128":[81],"elements.":[82],"experiments":[84,141],"sidelobe":[89,118,199],"were":[90],"done":[91],"scatterer":[94],"in":[95,131,192],"water":[97],"tank.":[98],"Results":[99],"show":[100,214],"that":[101,215],"11,":[103,123,183],"19,":[105,125,185],"91":[108,129,135,189,207],"higher":[110],"than":[112,224],"D&S":[113,149],"at":[114,247],"all":[115],"depths.":[116],"1,":[121,181],"decreases":[130],"turn,":[132,193],"lowest":[138],"contrast":[144,174,202],"comparison":[145],"between":[146],"are":[151,235],"made":[152],"phantom,":[156],"eight":[157,177],"cones":[158,178],"different":[160],"contrasts":[161],"(-15dB,":[162],"-10dB,":[163],"-5dB,":[164],"-2dB,":[165],"2dB,":[166],"4dB,":[167],"7.5dB":[168],"12dB)":[170],"over":[171],"background.":[172],"curves":[175],"shift":[190],"downward":[191],"which":[194],"is":[195,208,222],"compatible":[196],"their":[198,232],"property.":[200],"recognition":[203],"accuracy":[204],"best.":[210],"All":[211],"evaluation":[212],"standards":[213],"high":[217,239,249],"better":[223],"conventional":[226],"delay":[227],"sum":[229],"if":[231],"rates":[234],"same,":[237],"so":[238],"low-sidelobe":[242],"can":[244],"be":[245],"constructed":[246],"this":[253],"method.":[255]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}