{"id":"https://openalex.org/W3195475634","doi":"https://doi.org/10.1109/icip42928.2021.9506520","title":"Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking","display_name":"Augmenting 3D Ultrasound Strain Elastography by combining Bayesian inference with local Polynomial fitting in Region-growing-based Motion Tracking","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195475634","doi":"https://doi.org/10.1109/icip42928.2021.9506520","mag":"3195475634"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050622724","display_name":"Shuojie Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuojie Wen","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science,Chengdu,China,610500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science,Chengdu,China,610500","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046870919","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0001-8133-3883"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]},{"id":"https://openalex.org/I4210118397","display_name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital","ror":"https://ror.org/01qh26a66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science,Chengdu,China,610500","Sichuan Academy of Medical Science, Sichuan Provincial People's Hospital, Chengdu, China","Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science,Chengdu,China,610500","institution_ids":["https://openalex.org/I165745306"]},{"raw_affiliation_string":"Sichuan Academy of Medical Science, Sichuan Provincial People's Hospital, Chengdu, China","institution_ids":["https://openalex.org/I4210118397"]},{"raw_affiliation_string":"Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043096476","display_name":"Hao Jiang","orcid":"https://orcid.org/0000-0002-5122-0412"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Jiang","raw_affiliation_strings":["Southwest Petroleum University,School of Computer Science,Chengdu,China,610500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University,School of Computer Science,Chengdu,China,610500","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608396","display_name":"Junkai Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I204824540","display_name":"University of Wollongong","ror":"https://ror.org/00jtmb277","country_code":"AU","type":"education","lineage":["https://openalex.org/I204824540"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junkai Cao","raw_affiliation_strings":["University of Wollongong,School of Computing and Information Technology,Wollongong,Australia,NSW 2500"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wollongong,School of Computing and Information Technology,Wollongong,Australia,NSW 2500","institution_ids":["https://openalex.org/I204824540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011937138","display_name":"Jingfeng Jiang","orcid":"https://orcid.org/0000-0001-8812-6246"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]},{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]},{"id":"https://openalex.org/I4210151352","display_name":"Biocom","ror":"https://ror.org/03ymdxs56","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210151352"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingfeng Jiang","raw_affiliation_strings":["Michigan Technological University,Department of Biomedical Engineering,Houghton,Michigan,USA,49931","Michigan Technological University, Houghton, Michigan, USA","Center for Biocomputing and Digital Health, Healthcare Research Institute and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, Michigan, USA","University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan Technological University,Department of Biomedical Engineering,Houghton,Michigan,USA,49931","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"Michigan Technological University, Houghton, Michigan, USA","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"Center for Biocomputing and Digital Health, Healthcare Research Institute and Institute of Computing and Cybernetics, Michigan Technological University, Houghton, Michigan, USA","institution_ids":["https://openalex.org/I11957088","https://openalex.org/I4210151352"]},{"raw_affiliation_string":"University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2868,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5815071,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"40","issue":null,"first_page":"2963","last_page":"2967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9994999766349792,"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":0.9994999766349792,"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/T11366","display_name":"Elasticity and Material Modeling","score":0.9789000153541565,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.977400004863739,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/elastography","display_name":"Elastography","score":0.6909469366073608},{"id":"https://openalex.org/keywords/ultrasound-elastography","display_name":"Ultrasound elastography","score":0.6688752174377441},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6419051885604858},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.579563319683075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.564042866230011},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5584427118301392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5521673560142517},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5254694223403931},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5131567120552063},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4958890378475189},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4593115448951721},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4471738338470459},{"id":"https://openalex.org/keywords/strain","display_name":"Strain (injury)","score":0.4321654438972473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3437456488609314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.319614976644516},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.15907025337219238},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10728561878204346},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09767311811447144},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.08450835943222046},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06912082433700562}],"concepts":[{"id":"https://openalex.org/C2777690781","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Elastography","level":3,"score":0.6909469366073608},{"id":"https://openalex.org/C2909095640","wikidata":"https://www.wikidata.org/wiki/Q1324974","display_name":"Ultrasound elastography","level":4,"score":0.6688752174377441},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6419051885604858},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.579563319683075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.564042866230011},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5584427118301392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521673560142517},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5254694223403931},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5131567120552063},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4958890378475189},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4593115448951721},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4471738338470459},{"id":"https://openalex.org/C2778022156","wikidata":"https://www.wikidata.org/wiki/Q576145","display_name":"Strain (injury)","level":2,"score":0.4321654438972473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3437456488609314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.319614976644516},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.15907025337219238},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10728561878204346},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09767311811447144},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.08450835943222046},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06912082433700562},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip42928.2021.9506520","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506520","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-34754","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/15448","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"},{"id":"pmh:oai:ro.uow.edu.au:test2021-10084","is_oa":false,"landing_page_url":"https://ro.uow.edu.au/test2021/4537","pdf_url":null,"source":{"id":"https://openalex.org/S4306400510","display_name":"Research Online (University of Wollongong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I204824540","host_organization_name":"University of Wollongong","host_organization_lineage":["https://openalex.org/I204824540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Test Series for Scopus Harvesting 2021","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27807591","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27807591","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1978209772","https://openalex.org/W1994250749","https://openalex.org/W2021548112","https://openalex.org/W2032141543","https://openalex.org/W2048282620","https://openalex.org/W2057462899","https://openalex.org/W2076364967","https://openalex.org/W2102804137","https://openalex.org/W2104715724","https://openalex.org/W2105319113","https://openalex.org/W2116032766","https://openalex.org/W2119141822","https://openalex.org/W2127119044","https://openalex.org/W2165460100","https://openalex.org/W2166113069","https://openalex.org/W2470643964","https://openalex.org/W2584391952","https://openalex.org/W2624060378","https://openalex.org/W2646681762","https://openalex.org/W2804553389","https://openalex.org/W2895916131","https://openalex.org/W3004319130","https://openalex.org/W3089621761","https://openalex.org/W3095229804"],"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":{"Accurately":[0],"tracking":[1,31,54,74,84,180],"large":[2,34],"tissue":[3,35],"motion":[4,28,73,83,179,210],"over":[5],"a":[6,40,52,70,80,94,100,119,127,140],"sequence":[7],"of":[8,162,209],"ultrasound":[9,123,135,144,156],"images":[10],"is":[11,39,67],"critically":[12],"important":[13],"to":[14,106,175],"several":[15],"clinical":[16],"applications":[17],"including,":[18],"but":[19],"not":[20],"limited":[21],"to,":[22],"elastography,":[23],"flow":[24],"imaging,":[25],"and":[26,43,122,189],"ultrasound-guided":[27],"compensation.":[29],"However,":[30],"in":[32,37,133],"vivo":[33,134],"deformation":[36],"3D":[38,141],"challenging":[41],"problem":[42],"requires":[44],"further":[45],"developments.":[46],"In":[47],"this":[48,65,78],"study,":[49],"we":[50,76,98],"explore":[51],"novel":[53],"strategy":[55,66,79],"that":[56,200],"combines":[57],"Bayesian":[58,81,164,185],"inference":[59,165],"with":[60,85,166,184,191],"local":[61,86,167,192],"polynomial":[62,87,193],"fitting.":[63],"Since":[64],"incorporated":[68],"into":[69],"region-growing":[71,82,178,183,190],"block-matching":[72,96],"framework":[75],"call":[77],"fitting":[88,194],"(BRGMTLPF)":[89],"algorithm.":[90],"More":[91],"specifically,":[92],"unlike":[93],"conventional":[95],"algorithm,":[97],"use":[99],"maximum":[101],"posterior":[102],"probability":[103],"density":[104],"function":[105],"determine":[107],"the":[108,147,160,170,176,201,207],"\u201ccorrect\u201d":[109],"three-dimensional":[110],"displacement":[111],"vector.The":[112],"proposed":[113,171,202],"BRGMT-LPF":[114,203],"algorithm":[115,181,204],"was":[116,137,150,173],"evaluated":[117],"using":[118,139,152],"tissue-mimicking":[120,148],"phantom":[121,149],"data":[124,136,198],"acquired":[125,138,151],"from":[126],"pathologically-confirmed":[128],"human":[129],"breast":[130,143],"tumor.":[131],"The":[132],"whole":[142],"scanner,":[145],"while":[146],"an":[153],"experimental":[154],"CMUT":[155],"transducer.":[157],"To":[158],"demonstrate":[159,199],"effectiveness":[161],"combining":[163],"Polynomial":[168],"fitting,":[169],"method":[172],"compared":[174],"original":[177],"(RGMT),":[182],"interference":[186],"only":[187],"(BRGMT),":[188],"(RGMT-LPF).":[195],"Our":[196],"preliminary":[197],"can":[205],"improve":[206],"accuracy":[208],"tracking.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
