{"id":"https://openalex.org/W2170070254","doi":"https://doi.org/10.1109/cvpr.2003.1211350","title":"Simultaneous estimation of left ventricular motion and material properties with maximum a posteriori strategy","display_name":"Simultaneous estimation of left ventricular motion and material properties with maximum a posteriori strategy","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2170070254","doi":"https://doi.org/10.1109/cvpr.2003.1211350","mag":"2170070254"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5100725629","display_name":"Huafeng Liu","orcid":"https://orcid.org/0000-0001-5396-3183"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Huafeng Liu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong","Hong Kong University of Science and Technology, Kowloon, HK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Hong Kong University of Science and Technology, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University of Science and Technology, Kowloon, HK","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112957707","display_name":"Pengcheng Si","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pengcheng Si","raw_affiliation_strings":["Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100725629"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":1.0803,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79412929,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"269","issue":null,"first_page":"I","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9958999752998352,"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":0.9958999752998352,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9930999875068665,"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":0.991100013256073,"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/kalman-filter","display_name":"Kalman filter","score":0.8039472699165344},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7094790935516357},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7054976224899292},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6106768250465393},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188902020454407},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5159485936164856},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.48754948377609253},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.4852285385131836},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.46934425830841064},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.4126071333885193},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40489208698272705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35385459661483765},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3424014449119568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33177441358566284},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.28079622983932495},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.135330468416214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12157049775123596},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12028288841247559}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8039472699165344},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7094790935516357},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7054976224899292},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6106768250465393},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188902020454407},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5159485936164856},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.48754948377609253},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.4852285385131836},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.46934425830841064},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.4126071333885193},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40489208698272705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35385459661483765},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3424014449119568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33177441358566284},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.28079622983932495},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.135330468416214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12157049775123596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12028288841247559},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2003.1211350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211350","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.8942","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.8942","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.ust.hk/~eeship/Papers/CVPR03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308380","display_name":"Yale University","ror":"https://ror.org/03v76x132"},{"id":"https://openalex.org/F4320321672","display_name":"Else Kr\u00f6ner-Fresenius-Stiftung","ror":"https://ror.org/03zcxha54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W243879126","https://openalex.org/W304861154","https://openalex.org/W1561061300","https://openalex.org/W1584551972","https://openalex.org/W1973101733","https://openalex.org/W1977403962","https://openalex.org/W2000737474","https://openalex.org/W2001325695","https://openalex.org/W2040905071","https://openalex.org/W2041043028","https://openalex.org/W2052947941","https://openalex.org/W2053912979","https://openalex.org/W2059894202","https://openalex.org/W2083039650","https://openalex.org/W2104375408","https://openalex.org/W2120106394","https://openalex.org/W2129654146","https://openalex.org/W2138280907","https://openalex.org/W2144573889","https://openalex.org/W2159438183","https://openalex.org/W2159617609","https://openalex.org/W2161629941","https://openalex.org/W2164789175","https://openalex.org/W2171790646","https://openalex.org/W2423891992","https://openalex.org/W2731318278","https://openalex.org/W2809105423","https://openalex.org/W6633525808","https://openalex.org/W6683907545","https://openalex.org/W6684460837","https://openalex.org/W6717669540"],"related_works":["https://openalex.org/W4388311650","https://openalex.org/W1974056099","https://openalex.org/W4245343541","https://openalex.org/W2386077341","https://openalex.org/W563589758","https://openalex.org/W2150865841","https://openalex.org/W2138865713","https://openalex.org/W2169353922","https://openalex.org/W2132584457","https://openalex.org/W2005662236"],"abstract_inverted_index":{"In":[0,59],"addition":[1],"to":[2,149],"its":[3],"technical":[4],"merits":[5],"as":[6,145],"a":[7,34,64,74,86,111],"challenging":[8],"nonrigid":[9],"motion":[10,45],"and":[11,22,28,46,91,117,121],"structural":[12],"integrity":[13],"analysis":[14],"problem,":[15],"quantitative":[16],"estimation":[17,42,76],"of":[18,43,88,99,105,153],"cardiac":[19],"regional":[20],"functions":[21],"material":[23,47,92,120],"characteristics":[24],"has":[25],"significant":[26],"physiological":[27],"clinical":[29],"values.":[30],"We":[31],"earlier":[32],"developed":[33],"stochastic":[35,115],"finite":[36],"element":[37],"framework":[38,69],"for":[39,67],"the":[40,68,72,80,96,106,118,128,150],"simultaneous":[41],"myocardial":[44],"parameters":[48,123],"from":[49,95,127],"medical":[50],"image":[51],"sequences":[52],"with":[53,114,133,141],"an":[54],"extended":[55,81],"Kalman":[56,82],"filter":[57],"approach.":[58],"this":[60],"paper,":[61],"we":[62],"present":[63],"computational":[65],"strategy":[66],"based":[70],"upon":[71],"maximum":[73],"posteriori":[75],"principles,":[77],"realized":[78],"through":[79,147],"smoother,":[83],"that":[84],"produce":[85],"sequence":[87,98],"kinematics":[89],"state":[90],"parameter":[93],"estimates":[94],"entire":[97],"observations.":[100],"The":[101],"system":[102],"dynamics":[103],"equations":[104],"heart":[107],"is":[108],"constructed":[109],"using":[110],"biomechanical":[112],"model":[113],"parameters,":[116],"tissue":[119],"deformation":[122],"are":[124],"jointly":[125],"estimated":[126],"periodic":[129],"imaging":[130],"data.":[131],"Experiments":[132],"canine":[134],"magnetic":[135],"resonance":[136],"images":[137],"have":[138],"been":[139],"conducted":[140],"very":[142],"promising":[143],"results,":[144],"validated":[146],"comparison":[148],"histological":[151],"staining":[152],"post":[154],"mortem":[155],"myocardium.":[156]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}