{"id":"https://openalex.org/W2947197653","doi":"https://doi.org/10.1007/978-3-030-21949-9_34","title":"Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations","display_name":"Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947197653","doi":"https://doi.org/10.1007/978-3-030-21949-9_34","mag":"2947197653"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-21949-9_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-21949-9_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://kclpure.kcl.ac.uk/ws/files/111835943/Solution_to_the_Unknown_Boundary_NASOPOULOU_Accepted2April2019Publishedonline30May2019_GREEN_AAM.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040994249","display_name":"Anastasia Nasopoulou","orcid":null},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Anastasia Nasopoulou","raw_affiliation_strings":["Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014029323","display_name":"David Nordsletten","orcid":"https://orcid.org/0000-0002-5363-4715"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"David A. Nordsletten","raw_affiliation_strings":["Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA","Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Cardiac Surgery, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000435552","display_name":"Steven Niederer","orcid":"https://orcid.org/0000-0002-4612-6982"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven A. Niederer","raw_affiliation_strings":["Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085599943","display_name":"Pablo Lamata","orcid":"https://orcid.org/0000-0002-3097-4928"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pablo Lamata","raw_affiliation_strings":["Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King\u2019s College London, London, UK","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040994249"],"corresponding_institution_ids":["https://openalex.org/I183935753"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09711117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"322"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11366","display_name":"Elasticity and Material Modeling","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11366","display_name":"Elasticity and Material Modeling","score":1.0,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9983999729156494,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992002725601196},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.5128738880157471},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.45276227593421936},{"id":"https://openalex.org/keywords/stiffness","display_name":"Stiffness","score":0.437238872051239},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.422943115234375},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.4196428656578064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4174187481403351},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32785868644714355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2081756293773651},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18753105401992798},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.13355571031570435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992002725601196},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.5128738880157471},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.45276227593421936},{"id":"https://openalex.org/C2779372316","wikidata":"https://www.wikidata.org/wiki/Q569057","display_name":"Stiffness","level":2,"score":0.437238872051239},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.422943115234375},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.4196428656578064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4174187481403351},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32785868644714355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2081756293773651},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18753105401992798},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.13355571031570435},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-030-21949-9_34","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-21949-9_34","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/105e5e7e-d5a6-497e-b883-75883d23cfc5","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/105e5e7e-d5a6-497e-b883-75883d23cfc5","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/111835943/Solution_to_the_Unknown_Boundary_NASOPOULOU_Accepted2April2019Publishedonline30May2019_GREEN_AAM.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nasopoulou , A , Nordsletten , D A , Niederer , S A & Lamata , P 2019 , Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations . in V Ozenne , E Vigmond , Y Coudi\u00e8re & N Zemzemi (eds) , Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings . Lecture Notes in Computer Science , vol. 11504 , pp. 313-322 . https://doi.org/10.1007/978-3-030-21949-9_34","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/105e5e7e-d5a6-497e-b883-75883d23cfc5","is_oa":true,"landing_page_url":"https://kclpure.kcl.ac.uk/portal/en/publications/105e5e7e-d5a6-497e-b883-75883d23cfc5","pdf_url":"https://kclpure.kcl.ac.uk/ws/files/111835943/Solution_to_the_Unknown_Boundary_NASOPOULOU_Accepted2April2019Publishedonline30May2019_GREEN_AAM.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nasopoulou , A , Nordsletten , D A , Niederer , S A & Lamata , P 2019 , Solution to the Unknown Boundary Tractions in Myocardial Material Parameter Estimations . in V Ozenne , E Vigmond , Y Coudi\u00e8re & N Zemzemi (eds) , Functional Imaging and Modeling of the Heart - 10th International Conference, FIMH 2019, Proceedings . Lecture Notes in Computer Science , vol. 11504 , pp. 313-322 . https://doi.org/10.1007/978-3-030-21949-9_34","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1322964166","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G1938145382","display_name":null,"funder_award_id":"WT 203148/Z/16/Z","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G339059223","display_name":null,"funder_award_id":"Z/17/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G5296857752","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320337314","funder_display_name":"Centre For Medical Engineering, King\u2019s College London"},{"id":"https://openalex.org/G5746980720","display_name":null,"funder_award_id":"209450/Z/17","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G5907639349","display_name":null,"funder_award_id":"203148","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G7967443389","display_name":null,"funder_award_id":"WT 203148/Z/16/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G8124921036","display_name":null,"funder_award_id":"209450/Z/17/Z","funder_id":"https://openalex.org/F4320311904","funder_display_name":"Wellcome Trust"},{"id":"https://openalex.org/G8303168876","display_name":null,"funder_award_id":"WT 203148/Z/16/","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8775246936","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"},{"id":"https://openalex.org/G8787748348","display_name":null,"funder_award_id":"203148/Z/16/Z","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G961285871","display_name":null,"funder_award_id":"WT 203148/Z/16/Z","funder_id":"https://openalex.org/F4320337314","funder_display_name":"Centre For Medical Engineering, King\u2019s College London"}],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320337314","display_name":"Centre For Medical Engineering, King\u2019s College London","ror":"https://ror.org/04s9kfd63"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947197653.pdf","grobid_xml":"https://content.openalex.org/works/W2947197653.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2004132287","https://openalex.org/W2005092540","https://openalex.org/W2041043028","https://openalex.org/W2049295495","https://openalex.org/W2150888479","https://openalex.org/W2151759281","https://openalex.org/W2410445967","https://openalex.org/W2565305875","https://openalex.org/W2586917928","https://openalex.org/W2617494957","https://openalex.org/W2768815632","https://openalex.org/W2888228183"],"related_works":["https://openalex.org/W2794789911","https://openalex.org/W4298134547","https://openalex.org/W2122976425","https://openalex.org/W2088773039","https://openalex.org/W4382753160","https://openalex.org/W2284229495","https://openalex.org/W2028697747","https://openalex.org/W4320084277","https://openalex.org/W2383822543","https://openalex.org/W2787857227"],"abstract_inverted_index":{"Passive":[0],"material":[1,162,193],"parameter":[2],"estimation":[3,23,108],"can":[4,83],"facilitate":[5],"the":[6,55,60,71,89,92,96,107,110,114,118,134,140,148,166,169,174,179],"in":[7,95,153],"vivo":[8],"assessment":[9],"of":[10,28,31,41,48,73,91,109,150,168,178],"myocardial":[11,115,161],"stiffness,":[12],"an":[13],"important":[14],"biomarker":[15],"for":[16,86],"heart":[17],"failure":[18],"stratification":[19],"and":[20,59,65,82,100,117,203],"screening.":[21],"Parameter":[22],"strategies":[24,50],"employing":[25],"biomechanical":[26],"models":[27],"various":[29],"degrees":[30],"complexity":[32],"have":[33],"been":[34],"proposed,":[35],"usually":[36],"involving":[37],"a":[38,154,184,189,197],"significant":[39],"number":[40],"cardiac":[42,141],"mechanics":[43],"simulations.":[44],"The":[45,176],"clinical":[46],"translation":[47],"these":[49],"however":[51,105],"is":[52,70,181],"limited":[53],"by":[54,164,196],"associated":[56],"computational":[57],"cost":[58],"model":[61,194],"simplifications.":[62],"A":[63],"simpler":[64],"arguably":[66],"more":[67],"robust":[68],"alternative":[69],"use":[72],"data-based":[74,156],"approaches,":[75],"which":[76,136],"do":[77],"not":[78],"involve":[79],"mechanical":[80,111],"simulations":[81],"be":[84],"based":[85],"example":[87],"on":[88,183],"formulation":[90],"energy":[93,120],"balance":[94],"myocardium":[97],"from":[98],"imaging":[99],"pressure":[101],"data.":[102],"This":[103],"approach":[104,157],"requires":[106],"work":[112,145,152],"at":[113,133,173],"boundaries":[116],"strain":[119],"stored,":[121],"tasks":[122],"that":[123],"are":[124,129],"challenging":[125],"when":[126],"external":[127],"loads":[128],"unknown":[130,170],"-":[131],"especially":[132],"base":[135],"deforms":[137],"extensively":[138],"within":[139],"cycle.":[142],"In":[143],"this":[144],"we":[146],"employ":[147],"principle":[149],"virtual":[151],"strictly":[155],"to":[158,200],"uniquely":[159],"identify":[160],"parameters":[163],"eliminating":[165],"effect":[167],"boundary":[171],"tractions":[172],"base.":[175],"feasibility":[177],"method":[180],"demonstrated":[182],"synthetic":[185],"data":[186,204],"set":[187],"using":[188],"popular":[190],"transversely":[191],"isotropic":[192],"followed":[195],"sensitivity":[198],"analysis":[199],"modelling":[201],"assumptions":[202],"noise.":[205]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}