{"id":"https://openalex.org/W2939661377","doi":"https://doi.org/10.1109/icassp.2019.8682301","title":"Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs","display_name":"Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939661377","doi":"https://doi.org/10.1109/icassp.2019.8682301","mag":"2939661377"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8682301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5111698716","display_name":"J. R. Harish Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. R. Harish Kumar","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019952823","display_name":"Kartik Teotia","orcid":"https://orcid.org/0009-0007-6985-7159"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kartik Teotia","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109434548","display_name":"Pulak Raj","orcid":null},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Kevin Raj","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034735952","display_name":"Jasbon Andrade","orcid":"https://orcid.org/0000-0002-9339-893X"},"institutions":[{"id":"https://openalex.org/I76414455","display_name":"Kasturba Medical College, Manipal","ror":"https://ror.org/05hg48t65","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jasbon Andrade","raw_affiliation_strings":["Department of Radiodiagnosis, Kasturba Medical College MAHE, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Radiodiagnosis, Kasturba Medical College MAHE, Manipal, India","institution_ids":["https://openalex.org/I76414455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078998173","display_name":"Rajagopal Kadavigere","orcid":"https://orcid.org/0000-0003-3486-8740"},"institutions":[{"id":"https://openalex.org/I76414455","display_name":"Kasturba Medical College, Manipal","ror":"https://ror.org/05hg48t65","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. V. Rajagopal","raw_affiliation_strings":["Department of Radiodiagnosis, Kasturba Medical College MAHE, Manipal, India"],"affiliations":[{"raw_affiliation_string":"Department of Radiodiagnosis, Kasturba Medical College MAHE, Manipal, India","institution_ids":["https://openalex.org/I76414455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005652970","display_name":"Chandra Sekhar Seelamantula","orcid":"https://orcid.org/0000-0001-9049-1912"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chandra Sekhar Seelamantula","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5111698716"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.6916,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72900562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1353","last_page":"1357"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/common-carotid-artery","display_name":"Common carotid artery","score":0.7193354964256287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7150865793228149},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.7113094925880432},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6506144404411316},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6235790252685547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5742651224136353},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5345470309257507},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.4889763593673706},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4732150137424469},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.44500046968460083},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4345482289791107},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4215853214263916},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3440014719963074},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.20718619227409363},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19169607758522034},{"id":"https://openalex.org/keywords/carotid-arteries","display_name":"Carotid arteries","score":0.18768370151519775},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08442166447639465},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.07022157311439514}],"concepts":[{"id":"https://openalex.org/C2781064879","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Common carotid artery","level":3,"score":0.7193354964256287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7150865793228149},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7113094925880432},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6506144404411316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6235790252685547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5742651224136353},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5345470309257507},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.4889763593673706},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4732150137424469},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.44500046968460083},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4345482289791107},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4215853214263916},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3440014719963074},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.20718619227409363},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19169607758522034},{"id":"https://openalex.org/C2987047532","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Carotid arteries","level":2,"score":0.18768370151519775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08442166447639465},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.07022157311439514},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8682301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8682301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1513983351","https://openalex.org/W1543055822","https://openalex.org/W1546245338","https://openalex.org/W1996530838","https://openalex.org/W2010181125","https://openalex.org/W2049541657","https://openalex.org/W2095905764","https://openalex.org/W2096029390","https://openalex.org/W2106340835","https://openalex.org/W2117684737","https://openalex.org/W2133059825","https://openalex.org/W2149663006","https://openalex.org/W2153974578","https://openalex.org/W2296416594","https://openalex.org/W2441173492","https://openalex.org/W2508433039","https://openalex.org/W2891656147","https://openalex.org/W4256475235","https://openalex.org/W6675748207","https://openalex.org/W6754831826"],"related_works":["https://openalex.org/W3204184292","https://openalex.org/W3176564347","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3031039437","https://openalex.org/W183202219","https://openalex.org/W3095877357","https://openalex.org/W2072565696","https://openalex.org/W2050451745","https://openalex.org/W2351917300"],"abstract_inverted_index":{"We":[0,134],"propose":[1],"a":[2,37,76,137],"fully":[3],"automated":[4],"algorithm":[5,87],"for":[6],"the":[7,49,55,63,67,92,110,120],"segmentation":[8,24,115,140],"of":[9,23,28,36,54,62,78,109,142],"common":[10,56,68,111],"carotid":[11,57,69,112],"artery":[12,58,70],"in":[13],"longitudinal":[14,105],"mode":[15,106],"ultrasound":[16,99,107],"images":[17,108],"using":[18,75,128],"active":[19,50,64],"oblongs.":[20],"The":[21,52,86,114],"problem":[22],"and":[25,59,83,130,139,144],"subsequent":[26,60],"delineation":[27],"lumen-intima":[29],"layer":[30],"is":[31],"solved":[32],"as":[33],"an":[34],"optimization":[35],"locally":[38],"defined":[39],"contrast":[40],"function":[41],"with":[42],"respect":[43],"to":[44],"five":[45],"degrees-of-freedom":[46],"that":[47],"characterize":[48],"oblong.":[51],"detection":[53,138],"initialization":[61],"oblong":[65],"inside":[66],"region":[71],"has":[72,88],"been":[73,89],"done":[74],"combination":[77],"binary":[79],"thresholding,":[80],"Hough":[81],"transform,":[82],"pixel-offset":[84],"operations.":[85],"validated":[90,118],"on":[91],"Brno":[93],"university":[94],"signal":[95],"processing":[96],"lab":[97],"B-mode":[98],"image":[100],"database,":[101],"which":[102],"contains":[103],"84":[104],"artery.":[113],"results":[116],"are":[117],"against":[119],"ground":[121],"truth":[122],"provided":[123],"by":[124],"two":[125],"practising":[126],"radiologists":[127],"Jaccard":[129],"Dice":[131],"similarity":[132],"measures.":[133],"have":[135],"achieved":[136],"accuracy":[141],"95.2%":[143],"97.5%,":[145],"respectively.":[146]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}