{"id":"https://openalex.org/W3015912527","doi":"https://doi.org/10.1109/icassp40776.2020.9054703","title":"Feature Drift Resilient Tracking of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion","display_name":"Feature Drift Resilient Tracking of The Carotid Artery Wall Using Unscented Kalman Filtering With Data Fusion","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015912527","doi":"https://doi.org/10.1109/icassp40776.2020.9054703","mag":"3015912527"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 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/A5051133518","display_name":"Jan Dorazil","orcid":"https://orcid.org/0000-0002-3974-0597"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Jan Dorazil","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007001665","display_name":"Rene Repp","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Rene Repp","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072625375","display_name":"Thomas Kropfreiter","orcid":"https://orcid.org/0000-0001-7186-7072"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Thomas Kropfreiter","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023540514","display_name":"Richard Pr\u00fcller","orcid":"https://orcid.org/0000-0003-3811-2879"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Richard Pruller","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061350050","display_name":"Kamil \u0158\u00edha","orcid":"https://orcid.org/0000-0002-6196-5215"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Kamil Riha","raw_affiliation_strings":["Department of Telecommunications, Brno University of Technology, Brno, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Department of Telecommunications, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036535440","display_name":"Franz Hlawatsch","orcid":"https://orcid.org/0000-0001-9010-9285"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Franz Hlawatsch","raw_affiliation_strings":["Institute of Telecommunications, TU Wien, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications, TU Wien, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5051133518"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71719351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"44","issue":null,"first_page":"1095","last_page":"1099"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9682999849319458,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9297000169754028,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8604711294174194},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7229869365692139},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6356927752494812},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6347067356109619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6324182748794556},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6157058477401733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6145250201225281},{"id":"https://openalex.org/keywords/common-carotid-artery","display_name":"Common carotid artery","score":0.4784391224384308},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4733063280582428},{"id":"https://openalex.org/keywords/carotid-arteries","display_name":"Carotid arteries","score":0.31502866744995117},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09958627820014954},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0942680835723877},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.06814038753509521}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8604711294174194},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7229869365692139},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6356927752494812},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6347067356109619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6324182748794556},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6157058477401733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145250201225281},{"id":"https://openalex.org/C2781064879","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Common carotid artery","level":3,"score":0.4784391224384308},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4733063280582428},{"id":"https://openalex.org/C2987047532","wikidata":"https://www.wikidata.org/wiki/Q214275","display_name":"Carotid arteries","level":2,"score":0.31502866744995117},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09958627820014954},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0942680835723877},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.06814038753509521},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W26978970","https://openalex.org/W576301840","https://openalex.org/W1544524874","https://openalex.org/W1565206031","https://openalex.org/W1984949441","https://openalex.org/W1992198741","https://openalex.org/W2014094783","https://openalex.org/W2023367380","https://openalex.org/W2045926061","https://openalex.org/W2081359092","https://openalex.org/W2090704284","https://openalex.org/W2097315505","https://openalex.org/W2111308925","https://openalex.org/W2112636735","https://openalex.org/W2118877769","https://openalex.org/W2119464887","https://openalex.org/W2123487311","https://openalex.org/W2128145460","https://openalex.org/W2159752872","https://openalex.org/W2752169992","https://openalex.org/W2763160918","https://openalex.org/W2965050900","https://openalex.org/W2972331992","https://openalex.org/W2984261227","https://openalex.org/W4285719527","https://openalex.org/W6601048856","https://openalex.org/W6677548441"],"related_works":["https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W116564642","https://openalex.org/W4386563447","https://openalex.org/W1983380679","https://openalex.org/W1981649169","https://openalex.org/W2357354286","https://openalex.org/W2388705266","https://openalex.org/W2355487713","https://openalex.org/W2156044147"],"abstract_inverted_index":{"An":[0,33],"analysis":[1],"of":[2,5],"the":[3,6],"motion":[4,26],"common":[7],"carotid":[8],"artery":[9],"(CCA)":[10],"provides":[11],"effective":[12],"indicators":[13],"for":[14,22,61],"cardiovascular":[15],"diseases.":[16],"Here,":[17],"we":[18],"propose":[19],"a":[20,28,39,53,66,80],"method":[21,75,83],"tracking":[23,82],"CCA":[24,54],"wall":[25,55],"from":[27],"B-mode":[29],"ultrasound":[30],"video":[31],"sequence.":[32],"unscented":[34],"Kalman":[35],"filter":[36],"based":[37,84],"on":[38,85],"suitably":[40],"devised":[41],"state-space":[42],"model":[43],"fuses":[44],"measurements":[45],"produced":[46],"by":[47],"an":[48],"optical":[49,70,86],"flow":[50,71],"algorithm":[51],"and":[52],"localization":[56],"algorithm.":[57],"This":[58],"approach":[59],"compensates":[60],"feature":[62],"drift,":[63],"which":[64],"is":[65,76],"detrimental":[67],"effect":[68],"in":[69],"algorithms.":[72],"The":[73],"proposed":[74],"demonstrated":[77],"to":[78],"outperform":[79],"state-of-the-art":[81],"flow.":[87]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}