{"id":"https://openalex.org/W2161824429","doi":"https://doi.org/10.1109/isbi.2013.6556416","title":"Automated posteriorwall thickness measurement from B-mode ultrasound","display_name":"Automated posteriorwall thickness measurement from B-mode ultrasound","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2161824429","doi":"https://doi.org/10.1109/isbi.2013.6556416","mag":"2161824429"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2013.6556416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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/A5050792867","display_name":"Pavan Annangi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Pavan Annangi","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035845889","display_name":"Navneeth Subramanian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Navneeth Subramanian","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054886076","display_name":"Satish C. Govind","orcid":"https://orcid.org/0000-0001-6106-687X"},"institutions":[{"id":"https://openalex.org/I288496929","display_name":"Narayana Health","ror":"https://ror.org/05kx1ke03","country_code":"IN","type":"healthcare","lineage":["https://openalex.org/I288496929"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Satish Govind","raw_affiliation_strings":["Narayana Hrudayalaya, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Narayana Hrudayalaya, Bangalore, India","institution_ids":["https://openalex.org/I288496929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111918435","display_name":"Gokul Swamy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142581","display_name":"General Electric (India)","ror":"https://ror.org/04dd9ss52","country_code":"IN","type":"company","lineage":["https://openalex.org/I1332737386","https://openalex.org/I4210142581"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gokul Swamy","raw_affiliation_strings":["GE Global Research, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"GE Global Research, Bangalore, India","institution_ids":["https://openalex.org/I4210142581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060954396","display_name":"Brian Young","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian Young","raw_affiliation_strings":["GE Healthcare, Milwaukee, USA"],"affiliations":[{"raw_affiliation_string":"GE Healthcare, Milwaukee, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050792867"],"corresponding_institution_ids":["https://openalex.org/I4210142581"],"apc_list":null,"apc_paid":null,"fwci":0.1985,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63240339,"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":"77","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9988999962806702,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parasternal-line","display_name":"Parasternal line","score":0.7618095874786377},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.6139616966247559},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5076392889022827},{"id":"https://openalex.org/keywords/pericardium","display_name":"Pericardium","score":0.42082226276397705},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3857226073741913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3758843243122101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3500088155269623},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.3340877294540405},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3339926600456238},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.2852634787559509},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24048778414726257},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.18425995111465454}],"concepts":[{"id":"https://openalex.org/C23036609","wikidata":"https://www.wikidata.org/wiki/Q7136027","display_name":"Parasternal line","level":2,"score":0.7618095874786377},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.6139616966247559},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5076392889022827},{"id":"https://openalex.org/C2778875491","wikidata":"https://www.wikidata.org/wiki/Q193302","display_name":"Pericardium","level":2,"score":0.42082226276397705},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3857226073741913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3758843243122101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3500088155269623},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3340877294540405},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3339926600456238},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.2852634787559509},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24048778414726257},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.18425995111465454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2013.6556416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2013.6556416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE 10th International Symposium on Biomedical Imaging","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":7,"referenced_works":["https://openalex.org/W1500290582","https://openalex.org/W1991738904","https://openalex.org/W2092956183","https://openalex.org/W2097222278","https://openalex.org/W2101099004","https://openalex.org/W2116040950","https://openalex.org/W2129534965"],"related_works":["https://openalex.org/W3095347221","https://openalex.org/W2505215553","https://openalex.org/W4210913500","https://openalex.org/W4292319809","https://openalex.org/W4385127884","https://openalex.org/W4210503945","https://openalex.org/W1975984623","https://openalex.org/W2078170037","https://openalex.org/W3024999232","https://openalex.org/W2034011141"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,120,131],"robust":[6],"algorithm":[7,91,105,129],"to":[8,42,66,93],"segment":[9],"the":[10,46,78,82,101,116,128],"posterior":[11,86],"wall":[12,16,28,32],"region":[13],"and":[14,35,44,61,73,85,113,138],"estimate":[15],"thickness":[17,29,33],"from":[18,58],"parasternal":[19],"long":[20],"axis(PLAX)":[21],"view":[22],"cardiac":[23],"US":[24],"B-mode":[25],"images.":[26],"Posterior":[27],"(PWd),":[30],"Septal":[31],"(SWTd)":[34],"Left":[36,49],"ventricular":[37],"Internal":[38],"diameter(LVId)":[39],"are":[40,147],"used":[41],"detect":[43],"measure":[45],"extent":[47],"of":[48,55,77,96,135],"Ventricular":[50],"Hypertrophy":[51],"(LVH).":[52],"Manual":[53],"measurements":[54,153],"PWd":[56],"suffers":[57],"large":[59],"inter":[60],"intra":[62],"observer":[63],"variability":[64],"due":[65],"weak":[67],"endocardial":[68,117],"boundary":[69,109,118],"intertangled":[70],"with":[71,151,154],"speckle":[72],"poor":[74],"contrast,":[75],"movement":[76],"fibrous":[79],"structures":[80],"like":[81],"chordae,papillary":[83],"muscles":[84],"mitral":[87],"leaflet.":[88],"The":[89,104],"proposed":[90],"seeks":[92],"address":[94],"some":[95],"these":[97],"issues":[98],"by":[99,110,119],"automating":[100],"measurement":[102,145],"algorithm.":[103],"initially":[106],"detects":[107],"epicardial":[108],"pericardium":[111],"detection":[112],"later":[114],"segments":[115],"1D":[121],"active":[122],"contour":[123],"evolution.":[124],"We":[125],"have":[126],"designed":[127],"on":[130,140],"pilot":[132],"data":[133,143],"set":[134],"42":[136],"images":[137],"validated":[139],"88":[141],"patient":[142],"sets.The":[144],"values":[146],"in":[148],"excellent":[149],"agreement":[150],"expert":[152],"error":[155],"=":[156],"2.06mm":[157],"\u00b1":[158],"1.5mm.":[159]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}