{"id":"https://openalex.org/W2139909035","doi":"https://doi.org/10.1109/tmi.2011.2109733","title":"Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI","display_name":"Voxel-Based Adaptive Spatio-Temporal Modelling of Perfusion Cardiovascular MRI","publication_year":2011,"publication_date":"2011-02-03","ids":{"openalex":"https://openalex.org/W2139909035","doi":"https://doi.org/10.1109/tmi.2011.2109733","mag":"2139909035","pmid":"https://pubmed.ncbi.nlm.nih.gov/21296707"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2011.2109733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2011.2109733","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5049568556","display_name":"Volker Schmid","orcid":"https://orcid.org/0000-0003-2195-8130"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"V. J. Schmid","raw_affiliation_strings":["Bioimaging Group, Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany","Dept. of Stat., Ludwig Maximilians-Univ. Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Bioimaging Group, Department of Statistics, Ludwig-Maximilians-University Munich, Munich, Germany","institution_ids":[]},{"raw_affiliation_string":"Dept. of Stat., Ludwig Maximilians-Univ. Munich, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049568556"],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":1.2708,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.80536675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"7","first_page":"1305","last_page":"1313"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9994999766349792,"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/T10378","display_name":"Advanced MRI Techniques and Applications","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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9980999827384949,"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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7967462539672852},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6302249431610107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6063076853752136},{"id":"https://openalex.org/keywords/blood-flow","display_name":"Blood flow","score":0.5771422982215881},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4634307324886322},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.43218111991882324},{"id":"https://openalex.org/keywords/perfusion","display_name":"Perfusion","score":0.4190061390399933},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3922290802001953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3872070908546448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34479236602783203},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.22621354460716248},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20175346732139587}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7967462539672852},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6302249431610107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6063076853752136},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.5771422982215881},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4634307324886322},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.43218111991882324},{"id":"https://openalex.org/C146957229","wikidata":"https://www.wikidata.org/wiki/Q1266915","display_name":"Perfusion","level":2,"score":0.4190061390399933},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3922290802001953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3872070908546448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34479236602783203},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.22621354460716248},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20175346732139587},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"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":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000503","qualifier_name":"physiopathology","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003331","descriptor_name":"Coronary Vessels","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006321","descriptor_name":"Heart","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055414","descriptor_name":"Myocardial Perfusion Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055414","descriptor_name":"Myocardial Perfusion Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055414","descriptor_name":"Myocardial Perfusion Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2011.2109733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2011.2109733","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:21296707","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21296707","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,"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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8199999928474426,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W27184480","https://openalex.org/W143236119","https://openalex.org/W1496126147","https://openalex.org/W1520053542","https://openalex.org/W1544853437","https://openalex.org/W1867048779","https://openalex.org/W1971926213","https://openalex.org/W1974180009","https://openalex.org/W1984296324","https://openalex.org/W1990075873","https://openalex.org/W1990420052","https://openalex.org/W1991237518","https://openalex.org/W2003863072","https://openalex.org/W2008843339","https://openalex.org/W2033535822","https://openalex.org/W2046807932","https://openalex.org/W2072764600","https://openalex.org/W2078284051","https://openalex.org/W2097657944","https://openalex.org/W2104781626","https://openalex.org/W2113501324","https://openalex.org/W2115450036","https://openalex.org/W2125441754","https://openalex.org/W2130039720","https://openalex.org/W2130416410","https://openalex.org/W2132401137","https://openalex.org/W2152752458","https://openalex.org/W2155751421","https://openalex.org/W2171493089","https://openalex.org/W3035661701","https://openalex.org/W3102998284","https://openalex.org/W4240278298","https://openalex.org/W4399638802"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2026961173","https://openalex.org/W2139059299"],"abstract_inverted_index":{"Contrast":[0],"enhanced":[1],"myocardial":[2,21,31,80],"perfusion":[3],"magnetic":[4],"resonance":[5],"imaging":[6],"(MRI)":[7],"is":[8,59,70,159],"a":[9,25,50,107,124,143],"promising":[10],"technique,":[11],"providing":[12],"insight":[13],"into":[14],"how":[15],"reduced":[16,30],"coronary":[17,26],"flow":[18,88],"affects":[19],"the":[20,38,42,57,65,84,111,129],"tissue.":[22],"Stenosis":[23],"in":[24,78,86,89,95],"vessel":[27],"leads":[28],"to":[29,49,62,105],"blood":[32,39,87],"flow,":[33],"but":[34],"collaterals":[35],"may":[36],"secure":[37],"supply":[40],"of":[41,56,148],"myocardium,":[43],"with":[44,139],"altered":[45],"tracer":[46],"kinetics.":[47,150],"Due":[48],"low":[51],"signal-to-noise":[52],"ratio,":[53],"quantitative":[54],"analysis":[55,69,109],"signal":[58],"typically":[60],"difficult":[61],"achieve":[63],"at":[64,110],"voxel":[66,112],"level.":[67,113],"Hence,":[68],"often":[71],"performed":[72],"on":[73,153],"measurements":[74],"that":[75,82,102],"are":[76,121,135],"aggregated":[77],"predefined":[79],"segments,":[81],"ignore":[83],"variability":[85],"each":[90],"segment.":[91],"The":[92,114],"approach":[93],"presented":[94],"this":[96],"paper":[97],"uses":[98],"local":[99,118,133,149],"spatial":[100,115],"information":[101],"enables":[103],"one":[104],"perform":[106],"robust":[108,145],"dependencies":[116],"between":[117],"response":[119],"curves":[120],"modelled":[122],"via":[123],"hierarchical":[125],"Bayesian":[126],"model.":[127],"In":[128],"proposed":[130],"framework,":[131],"all":[132],"systems":[134],"analyzed":[136],"simultaneously":[137],"along":[138],"their":[140],"dependencies,":[141],"producing":[142],"more":[144],"context-driven":[146],"estimation":[147],"Detailed":[151],"validation":[152],"both":[154],"simulated":[155],"and":[156],"patient":[157],"data":[158],"provided.":[160]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
