{"id":"https://openalex.org/W2794394409","doi":"https://doi.org/10.1109/globalsip.2017.8309061","title":"Automatic accuracy assessment of ultrasound elastography using correlation profile and prior information of displacement continuity","display_name":"Automatic accuracy assessment of ultrasound elastography using correlation profile and prior information of displacement continuity","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2794394409","doi":"https://doi.org/10.1109/globalsip.2017.8309061","mag":"2794394409"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2017.8309061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5010861634","display_name":"Mohamad Ghasemi Amidabadi","orcid":"https://orcid.org/0000-0002-2347-9267"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I4210148195","display_name":"Concordia University","ror":"https://ror.org/04dwckp88","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148195"]}],"countries":["CA","US"],"is_corresponding":true,"raw_author_name":"M. Ghasemi Amidabadi","raw_affiliation_strings":["Concordia University, Montreal, QC, CA"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, CA","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I4210148195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068820891","display_name":"M. Omair Ahmad","orcid":"https://orcid.org/0000-0002-2924-6659"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]},{"id":"https://openalex.org/I4210148195","display_name":"Concordia University","ror":"https://ror.org/04dwckp88","country_code":"US","type":"education","lineage":["https://openalex.org/I4210148195"]}],"countries":["CA","US"],"is_corresponding":false,"raw_author_name":"M. Omair Ahmad","raw_affiliation_strings":["Concordia University, Montreal, QC, CA"],"affiliations":[{"raw_affiliation_string":"Concordia University, Montreal, QC, CA","institution_ids":["https://openalex.org/I60158472","https://openalex.org/I4210148195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077743201","display_name":"Hassan Rivaz","orcid":"https://orcid.org/0000-0001-5800-3034"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H. Rivaz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010861634"],"corresponding_institution_ids":["https://openalex.org/I4210148195","https://openalex.org/I60158472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28452589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"755","last_page":"759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9868000149726868,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7806522250175476},{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.6669108867645264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490557193756104},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.6109132766723633},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5992531776428223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5822985172271729},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.57911217212677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5790998935699463},{"id":"https://openalex.org/keywords/linear-correlation","display_name":"Linear correlation","score":0.4876953065395355},{"id":"https://openalex.org/keywords/ultrasound-elastography","display_name":"Ultrasound elastography","score":0.48301634192466736},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.4797973930835724},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4519994258880615},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.394784152507782},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32605427503585815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24874231219291687},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12490671873092651},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12311306595802307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08543726801872253}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7806522250175476},{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.6669108867645264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490557193756104},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.6109132766723633},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5992531776428223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5822985172271729},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.57911217212677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5790998935699463},{"id":"https://openalex.org/C2989041947","wikidata":"https://www.wikidata.org/wiki/Q186290","display_name":"Linear correlation","level":2,"score":0.4876953065395355},{"id":"https://openalex.org/C2909095640","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Ultrasound elastography","level":4,"score":0.48301634192466736},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.4797973930835724},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4519994258880615},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.394784152507782},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32605427503585815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24874231219291687},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12490671873092651},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12311306595802307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08543726801872253},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2017.8309061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2017.8309061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W603714379","https://openalex.org/W1967845942","https://openalex.org/W1974915238","https://openalex.org/W2009109102","https://openalex.org/W2023839685","https://openalex.org/W2051589149","https://openalex.org/W2062104948","https://openalex.org/W2102248332","https://openalex.org/W2106942461","https://openalex.org/W2129103337","https://openalex.org/W2131986555","https://openalex.org/W2136753555","https://openalex.org/W2139203565","https://openalex.org/W2156095453","https://openalex.org/W2159651496","https://openalex.org/W2163274127","https://openalex.org/W2168203251","https://openalex.org/W2293126964","https://openalex.org/W2296703136","https://openalex.org/W2527808433","https://openalex.org/W2646681762","https://openalex.org/W2765837552","https://openalex.org/W4251957920","https://openalex.org/W6618408314","https://openalex.org/W6727380189"],"related_works":["https://openalex.org/W1630285771","https://openalex.org/W3032264382","https://openalex.org/W2378287340","https://openalex.org/W3101514091","https://openalex.org/W2367100617","https://openalex.org/W2377917514","https://openalex.org/W2496788260","https://openalex.org/W2911720581","https://openalex.org/W2364074829","https://openalex.org/W4312406547"],"abstract_inverted_index":{"Calculation":[0],"of":[1,21,40,89,124],"the":[2,8,14,19,85,90,94,121,126],"Normalized":[3],"Cross":[4],"Correlation":[5],"(NCC)":[6],"at":[7,51],"estimated":[9],"displacement":[10],"has":[11],"been":[12],"usually":[13],"only":[15],"way":[16],"to":[17,99,119],"assess":[18],"accuracy":[20,52],"Time-Delay":[22],"Estimation":[23],"(TDE)":[24],"in":[25,27,35,54,71,97,102],"elastography":[26],"recent":[28],"years.":[29],"However,":[30],"a":[31,55,108],"method":[32],"is":[33],"proposed":[34,101,127],"[1]":[36],"which":[37],"takes":[38],"advantage":[39],"using":[41],"NCC":[42],"profile":[43],"with":[44],"7":[45],"valuable":[46],"features":[47,70,83,96,100],"and":[48,73,87],"also":[49],"looks":[50],"assessment":[53],"supervised":[56],"approach.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,106],"build":[62],"on":[63,114],"our":[64,103],"previous":[65,104],"work":[66],"by":[67],"utilizing":[68,125],"continuity":[69,95],"axial":[72],"lateral":[74],"directions":[75],"as":[76],"useful":[77],"information.":[78],"We":[79],"show":[80,120],"that":[81],"these":[82],"improve":[84],"sensitivity":[86],"specificity":[88],"classifier.":[91],"After":[92],"extracting":[93],"addition":[98],"work,":[105],"train":[107],"linear":[109],"Support":[110],"Vector":[111],"Machine":[112],"(SVM)":[113],"three":[115],"in-vivo":[116],"data":[117],"sets":[118],"significant":[122],"improvement":[123],"features.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
