{"id":"https://openalex.org/W7166326301","doi":"https://doi.org/10.1007/s10237-026-02097-z","title":"Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data","display_name":"Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data","publication_year":2026,"publication_date":"2026-06-27","ids":{"openalex":"https://openalex.org/W7166326301","doi":"https://doi.org/10.1007/s10237-026-02097-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/42364018"},"language":"en","primary_location":{"id":"doi:10.1007/s10237-026-02097-z","doi":"https://doi.org/10.1007/s10237-026-02097-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10237-026-02097-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10237-026-02097-z.pdf","source":{"id":"https://openalex.org/S11710983","display_name":"Biomechanics and Modeling in Mechanobiology","issn_l":"1617-7940","issn":["1617-7940","1617-7959"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomechanics and Modeling in Mechanobiology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10237-026-02097-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030363844","display_name":"Miriam L\u00f6cke","orcid":"https://orcid.org/0000-0002-0378-4061","observed_orcids":["https://orcid.org/0000-0002-0378-4061"]},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Miriam L\u00f6cke","raw_affiliation_strings":["Bernoulli Institute, University of Groningen, Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bernoulli Institute, University of Groningen, Groningen, The Netherlands","institution_ids":["https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021862889","display_name":"Pim van Ooij","orcid":"https://orcid.org/0000-0001-8755-0192","observed_orcids":["https://orcid.org/0000-0001-8755-0192"]},"institutions":[{"id":"https://openalex.org/I4210151833","display_name":"Amsterdam University Medical Centers","ror":"https://ror.org/05grdyy37","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pim van Ooij","raw_affiliation_strings":["Amsterdam University Medical Center, Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amsterdam University Medical Center, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I4210151833","https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080051619","display_name":"Crist\u00f3bal Bertoglio","orcid":"https://orcid.org/0000-0001-5049-1707","observed_orcids":["https://orcid.org/0000-0001-5049-1707"]},"institutions":[{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Crist\u00f3bal Bertoglio","raw_affiliation_strings":["Bernoulli Institute, University of Groningen, Groningen, The Netherlands. c.a.bertoglio@rug.nl"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bernoulli Institute, University of Groningen, Groningen, The Netherlands. c.a.bertoglio@rug.nl","institution_ids":["https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080051619"],"corresponding_institution_ids":["https://openalex.org/I169381384"],"apc_list":{"value":4190,"currency":"USD","value_usd":4190},"apc_paid":{"value":4190,"currency":"USD","value_usd":4190},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5009087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9932000041007996,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9932000041007996,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.00139999995008111,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/4d-flow-mri","display_name":"4D flow MRI","score":0.8799999952316284},{"id":"https://openalex.org/keywords/k-space-undersampling","display_name":"k-space undersampling","score":0.9480000138282776},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.5149999856948853},{"id":"https://openalex.org/keywords/boundary-condition-identification","display_name":"boundary condition identification","score":0.6330000162124634}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6765000224113464},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6736999750137329},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.628600001335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5490000247955322},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5216000080108643},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.48489999771118164},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.47940000891685486},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.45399999618530273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4424999952316284},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.42239999771118164},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3273000121116638},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3131999969482422},{"id":"https://openalex.org/C16302685","wikidata":"https://www.wikidata.org/wiki/Q15091623","display_name":"Flow measurement","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2556000053882599}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001011","descriptor_name":"Aorta","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001783","descriptor_name":"Blood Flow Velocity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1007/s10237-026-02097-z","doi":"https://doi.org/10.1007/s10237-026-02097-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10237-026-02097-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10237-026-02097-z.pdf","source":{"id":"https://openalex.org/S11710983","display_name":"Biomechanics and Modeling in Mechanobiology","issn_l":"1617-7940","issn":["1617-7940","1617-7959"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomechanics and Modeling in Mechanobiology","raw_type":"journal-article"},{"id":"pmid:42364018","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42364018","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomechanics and modeling in mechanobiology","raw_type":"Journal Article"},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire/31e20500-7e6e-4434-bc62-58db753a15bc","doi":null,"is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/31e20500-7e6e-4434-bc62-58db753a15bc","pdf_url":null,"source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"l\u00f6cke, M, van Ooij, P & Bertoglio, C 2026, 'Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data', Biomechanics and Modeling in Mechanobiology, vol. 25, no. 4, 74. https://doi.org/10.1007/s10237-026-02097-z","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.rug.nl:openaire/d17f8afc-074c-48b7-b836-10b4e55f081d","doi":null,"is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/d17f8afc-074c-48b7-b836-10b4e55f081d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"L\u00f6cke, M, van Ooij, P & Bertoglio, C 2026, 'Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data', Biomechanics and Modeling in Mechanobiology, vol. 25, no. 4, 74. https://doi.org/10.1007/s10237-026-02097-z","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13310207","doi":null,"is_oa":true,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42364018/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Biomech Model Mechanobiol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10237-026-02097-z","doi":"https://doi.org/10.1007/s10237-026-02097-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10237-026-02097-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10237-026-02097-z.pdf","source":{"id":"https://openalex.org/S11710983","display_name":"Biomechanics and Modeling in Mechanobiology","issn_l":"1617-7940","issn":["1617-7940","1617-7959"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biomechanics and Modeling in Mechanobiology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.504800021648407,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1302636834","display_name":null,"funder_award_id":"852544","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166326301.pdf","grobid_xml":"https://content.openalex.org/works/W7166326301.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W42415071","https://openalex.org/W1550262938","https://openalex.org/W2065437803","https://openalex.org/W2101675075","https://openalex.org/W2126882739","https://openalex.org/W2893304847","https://openalex.org/W2901771684","https://openalex.org/W2944761405","https://openalex.org/W2969871988","https://openalex.org/W3003131922","https://openalex.org/W3008392875","https://openalex.org/W3086033911","https://openalex.org/W3127052478","https://openalex.org/W3153315752","https://openalex.org/W4200629431","https://openalex.org/W4206139065","https://openalex.org/W4223439149","https://openalex.org/W4229335580","https://openalex.org/W4324394158","https://openalex.org/W4411492795","https://openalex.org/W6931779256"],"related_works":[],"abstract_inverted_index":{"4D":[0,27],"Flow":[1,28],"Magnetic":[2],"Resonance":[3],"Imaging":[4],"(MRI)":[5],"is":[6,54,80,84,89],"the":[7,22,52,68,108,144,160],"state-of-the-art":[8],"technique":[9],"for":[10,18,44,60],"measuring":[11],"blood":[12,134],"flow":[13,135,145],"and":[14,41,82,153],"provides":[15],"valuable":[16],"data":[17,30,188],"inverse":[19,71,170],"problems":[20,171],"in":[21,130],"cardiovascular":[23],"system.":[24],"However,":[25],"acquiring":[26],"MRI":[29,187],"requires":[31],"long":[32],"scan":[33],"times,":[34],"placing":[35],"a":[36,74,95,113,131,190],"burden":[37],"on":[38,140,159,173],"healthcare":[39],"resources":[40],"causing":[42],"discomfort":[43],"patients.":[45],"To":[46],"mitigate":[47],"this,":[48],"only":[49],"part":[50],"of":[51,70,77,127,143],"k-space":[53,104],"typically":[55],"acquired,":[56],"requiring":[57],"additional":[58],"assumptions":[59],"image":[61],"reconstruction,":[62],"introducing":[63],"inaccuracies":[64],"that":[65,99,120],"can":[66],"degrade":[67],"results":[69,164],"problems.":[72],"Moreover,":[73],"wide":[75],"range":[76],"sampling":[78,151,161],"patterns":[79,152],"available,":[81],"it":[83],"often":[85],"unclear":[86],"which":[87],"one":[88],"most":[90],"suitable.":[91],"Here,":[92],"we":[93,181],"present":[94],"parameter":[96],"estimation":[97,156],"framework":[98],"directly":[100],"uses":[101],"highly":[102],"undersampled":[103],"measurements.":[105],"We":[106,118,147],"solve":[107],"resulting":[109],"problem":[110],"numerically":[111],"using":[112,185],"Reduced-Order":[114],"Unscented":[115],"Kalman":[116],"Filter.":[117],"show":[119,154],"this":[121],"approach":[122],"yields":[123],"more":[124],"accurate":[125],"estimates":[126],"boundary-condition":[128],"parameters":[129],"synthetic":[132],"aortic":[133],"model":[136],"than":[137,169],"approaches":[138],"based":[139,172],"compressed-sensing":[141],"reconstructions":[142],"images.":[146],"also":[148],"compare":[149],"different":[150],"how":[155],"accuracy":[157,168],"depends":[158],"strategy.":[162],"The":[163],"demonstrate":[165],"substantially":[166],"higher":[167],"velocity":[174],"fields":[175],"reconstructed":[176],"via":[177],"compressed":[178],"sensing.":[179],"Finally,":[180],"validate":[182],"these":[183],"findings":[184],"real":[186],"from":[189],"mechanical":[191],"phantom.":[192]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2026-06-28T00:00:00"}
