{"id":"https://openalex.org/W3011807056","doi":"https://doi.org/10.1109/camsap45676.2019.9022664","title":"ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions","display_name":"ML-based Motion Estimation in Ultrasound Images Using Heavy-tailed Noise Distributions","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011807056","doi":"https://doi.org/10.1109/camsap45676.2019.9022664","mag":"3011807056"},"language":"en","primary_location":{"id":"doi:10.1109/camsap45676.2019.9022664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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/A5015653572","display_name":"Nora Ouzir","orcid":"https://orcid.org/0000-0003-2282-3422"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Nora Ouzir","raw_affiliation_strings":["Department of Signal, Processing and Acoustics Aalto University Espoo, Espoo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal, Processing and Acoustics Aalto University Espoo, Espoo","institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031785324","display_name":"Esa Ollila","orcid":"https://orcid.org/0000-0002-0898-5313"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Esa Ollila","raw_affiliation_strings":["Department of Signal, Processing and Acoustics Aalto University Espoo, Espoo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal, Processing and Acoustics Aalto University Espoo, Espoo","institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055234860","display_name":"Sergiy A. Vorobyov","orcid":"https://orcid.org/0000-0001-7249-647X"},"institutions":[{"id":"https://openalex.org/I4210121626","display_name":"Signal Processing (United States)","ror":"https://ror.org/021gzyw51","country_code":"US","type":"company","lineage":["https://openalex.org/I4210121626"]},{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI","US"],"is_corresponding":false,"raw_author_name":"Sergiy A. Vorobyov","raw_affiliation_strings":["Department of Signal, Processing and Acoustics Aalto University Espoo, Espoo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal, Processing and Acoustics Aalto University Espoo, Espoo","institution_ids":["https://openalex.org/I4210121626","https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"366","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9916999936103821,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9904999732971191,"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/nakagami-distribution","display_name":"Nakagami distribution","score":0.7453594207763672},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.6510010957717896},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5772836208343506},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5440570116043091},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5202561616897583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5145692229270935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719609022140503},{"id":"https://openalex.org/keywords/rayleigh-scattering","display_name":"Rayleigh scattering","score":0.46109214425086975},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.440100759267807},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3680979609489441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3444163203239441},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3324642777442932},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33118605613708496},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.21238064765930176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20908412337303162},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10558468103408813},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10223007202148438},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09161412715911865}],"concepts":[{"id":"https://openalex.org/C115098869","wikidata":"https://www.wikidata.org/wiki/Q3258347","display_name":"Nakagami distribution","level":4,"score":0.7453594207763672},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.6510010957717896},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5772836208343506},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5440570116043091},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5202561616897583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5145692229270935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719609022140503},{"id":"https://openalex.org/C46244369","wikidata":"https://www.wikidata.org/wiki/Q193709","display_name":"Rayleigh scattering","level":2,"score":0.46109214425086975},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.440100759267807},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3680979609489441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3444163203239441},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3324642777442932},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33118605613708496},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.21238064765930176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20908412337303162},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10558468103408813},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10223007202148438},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09161412715911865},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap45676.2019.9022664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","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":13,"referenced_works":["https://openalex.org/W137864573","https://openalex.org/W1578285471","https://openalex.org/W1579925870","https://openalex.org/W1974581420","https://openalex.org/W1982516529","https://openalex.org/W1993351044","https://openalex.org/W2007348839","https://openalex.org/W2047003318","https://openalex.org/W2125982177","https://openalex.org/W2133627845","https://openalex.org/W2144716243","https://openalex.org/W2147004337","https://openalex.org/W2150530698"],"related_works":["https://openalex.org/W2535452286","https://openalex.org/W1998858566","https://openalex.org/W1751987987","https://openalex.org/W2024267771","https://openalex.org/W2075877975","https://openalex.org/W2154116060","https://openalex.org/W2181398349","https://openalex.org/W4226027303","https://openalex.org/W2109924868","https://openalex.org/W1990132050"],"abstract_inverted_index":{"The":[0],"multiplicative":[1],"Rayleigh":[2,35,94],"noise":[3],"model":[4,61],"has":[5],"been":[6],"used":[7,50,63],"for":[8,38,51,64],"maximum":[9],"likelihood":[10],"(ML)":[11],"motion":[12,81],"estimation":[13,82],"in":[14,70,80,84],"ultrasound":[15],"imaging":[16],"(UI).":[17],"In":[18],"this":[19],"work,":[20],"we":[21],"introduce":[22],"new":[23],"robust":[24],"similarity":[25,88],"measures":[26],"that":[27],"take":[28],"into":[29],"account":[30],"the":[31,34,47,53,58,65,74,87,92],"deviations":[32],"from":[33,40],"statistics":[36],"resulting,":[37],"example,":[39],"multiple":[41],"scatterings":[42],"or":[43],"acquisition":[44],"artefacts.":[45],"Specifically,":[46],"t-distribution":[48],"is":[49,62],"modelling":[52],"radio-frequency":[54],"(RF)":[55],"signals":[56],"and":[57],"Nakagami-Gamma":[59],"(NG)":[60],"echo":[66],"amplitudes.":[67],"Experiments":[68],"using":[69],"vivo":[71],"images":[72],"of":[73],"carotid":[75],"artery":[76],"show":[77],"an":[78],"improvement":[79],"accuracy":[83],"comparison":[85],"with":[86],"measure":[89],"based":[90],"on":[91],"classical":[93],"model.":[95]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
