{"id":"https://openalex.org/W2165060213","doi":"https://doi.org/10.1109/tmi.2009.2016212","title":"A Novel Estimation Method for Physiological Parameters in Dynamic Contrast-Enhanced MRI: Application of a Distributed Parameter Model Using Fourier-Domain Calculations","display_name":"A Novel Estimation Method for Physiological Parameters in Dynamic Contrast-Enhanced MRI: Application of a Distributed Parameter Model Using Fourier-Domain Calculations","publication_year":2009,"publication_date":"2009-03-12","ids":{"openalex":"https://openalex.org/W2165060213","doi":"https://doi.org/10.1109/tmi.2009.2016212","mag":"2165060213","pmid":"https://pubmed.ncbi.nlm.nih.gov/19278930"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2009.2016212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2016212","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/A5037383942","display_name":"Anders Garpebring","orcid":"https://orcid.org/0000-0002-0532-232X"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"A. Garpebring","raw_affiliation_strings":["Department of Radiation Sciences, Division of Radiation Physics, Ume\u00e5 University, Ume\u00e5, Sweden. anders.garpebring@radfys.umu.se","Department of Radiation Sciences, Division of Radiation Physics, Ume\u00e5 University, Umea, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Division of Radiation Physics, Ume\u00e5 University, Ume\u00e5, Sweden. anders.garpebring@radfys.umu.se","institution_ids":["https://openalex.org/I90267481"]},{"raw_affiliation_string":"Department of Radiation Sciences, Division of Radiation Physics, Ume\u00e5 University, Umea, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010116976","display_name":"Nils \u00d6stlund","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099621","display_name":"University Hospital of Ume\u00e5","ror":"https://ror.org/012k96e85","country_code":"SE","type":"healthcare","lineage":["https://openalex.org/I4210099621"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"N. Ostlund","raw_affiliation_strings":["Department of Biomedical Engineering and Informatics, University Hospital, Umea, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Informatics, University Hospital, Umea, Sweden","institution_ids":["https://openalex.org/I4210099621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018599638","display_name":"Mikael Karlsson","orcid":"https://orcid.org/0000-0002-9845-4363"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"M. Karlsson","raw_affiliation_strings":["Department of Radiation Sciences, Division of Radiation Physics, Ume\u00e5 University, Umea, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Sciences, Division of Radiation Physics, Ume\u00e5 University, Umea, Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037383942"],"corresponding_institution_ids":["https://openalex.org/I90267481"],"apc_list":null,"apc_paid":null,"fwci":2.4683,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.88627247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"9","first_page":"1375","last_page":"1383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":1.0,"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/T11885","display_name":"MRI in cancer diagnosis","score":1.0,"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":0.9980999827384949,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9977999925613403,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.6121466159820557},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5815655589103699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5558661222457886},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.5229324102401733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.514015793800354},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.4716954529285431},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.46115803718566895},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4288289546966553},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.4261569380760193},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.42495909333229065},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4082903563976288},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.3916819989681244},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32933908700942993},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2951565086841583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20110827684402466},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15184840559959412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1019374430179596},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.09122651815414429}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6121466159820557},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5815655589103699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5558661222457886},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.5229324102401733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.514015793800354},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.4716954529285431},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.46115803718566895},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4288289546966553},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.4261569380760193},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.42495909333229065},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4082903563976288},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3916819989681244},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32933908700942993},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2951565086841583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20110827684402466},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15184840559959412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1019374430179596},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09122651815414429},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000556","qualifier_name":"secondary","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000556","qualifier_name":"secondary","is_major_topic":false},{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","qualifier_ui":"Q000556","qualifier_name":"secondary","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":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005583","descriptor_name":"Fourier Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","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":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2009.2016212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2016212","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:19278930","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19278930","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":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1854566075","https://openalex.org/W1956944003","https://openalex.org/W1966449794","https://openalex.org/W1980526942","https://openalex.org/W2006458313","https://openalex.org/W2025618368","https://openalex.org/W2034724097","https://openalex.org/W2042098439","https://openalex.org/W2048387155","https://openalex.org/W2049171359","https://openalex.org/W2057504810","https://openalex.org/W2061350341","https://openalex.org/W2061434030","https://openalex.org/W2066037527","https://openalex.org/W2070580351","https://openalex.org/W2072626310","https://openalex.org/W2089513130","https://openalex.org/W2090536394","https://openalex.org/W2091633428","https://openalex.org/W2093815462","https://openalex.org/W2112957932","https://openalex.org/W2147535764","https://openalex.org/W2171072107","https://openalex.org/W2235703329","https://openalex.org/W2339319747","https://openalex.org/W2475429622","https://openalex.org/W6640776274"],"related_works":["https://openalex.org/W1984031140","https://openalex.org/W2034082304","https://openalex.org/W81470468","https://openalex.org/W1964268922","https://openalex.org/W1968864649","https://openalex.org/W2066908446","https://openalex.org/W3045775115","https://openalex.org/W2768366820","https://openalex.org/W2015885629","https://openalex.org/W1971280405"],"abstract_inverted_index":{"Dynamic":[0],"contrast-enhanced":[1],"magnetic":[2],"resonance":[3],"imaging":[4],"(MRI)":[5],"is":[6,69],"a":[7,21,88,107,139,184],"promising":[8],"tool":[9],"in":[10,141,166],"the":[11,34,82,93,118,128,142,148,156,164,175,179,191,208],"evaluation":[12],"of":[13,40],"tumor":[14],"physiology.":[15],"From":[16],"rapidly":[17],"acquired":[18],"images":[19],"and":[20,44,54,104,117,158],"model":[22,68],"for":[23,77,92,162,178],"contrast":[24],"agent":[25],"pharmacokinetics,":[26],"physiological":[27],"parameters":[28,49],"are":[29,75],"derived.":[30],"One":[31],"pharmacokinetic":[32],"model,":[33,37,96],"tissue":[35,94],"homogeneity":[36,95],"enables":[38],"estimation":[39,65,83,90,201],"both":[41],"blood":[42,52,167],"flow":[43],"vessel":[45],"permeability":[46],"together":[47],"with":[48,66,114,183],"that":[50,63,126,147,190],"describe":[51],"volume":[53,57,168],"extracellular":[55],"extravascular":[56],"fraction.":[58],"However,":[59],"studies":[60],"have":[61],"shown":[62],"parameter":[64,200],"this":[67,86],"unstable.":[70],"Therefore,":[71],"several":[72],"initial":[73],"guesses":[74],"needed":[76,177],"accurate":[78,153],"estimates,":[79],"which":[80],"makes":[81],"slow.":[84],"In":[85,173],"study":[87],"new":[89,149,192],"algorithm":[91,111,132,150,193],"based":[97],"on":[98,136,155],"Fourier":[99],"domain":[100],"calculations,":[101],"was":[102,112,133,169,181,188],"derived":[103],"implemented":[105],"as":[106],"Matlab":[108],"program.":[109],"The":[110,131,144],"tested":[113,135],"Monte-Carlo":[115],"simulations":[116],"results":[119,154],"were":[120],"compared":[121],"to":[122,197],"an":[123],"existing":[124],"method":[125],"uses":[127],"adiabatic":[129],"approximation.":[130],"also":[134],"data":[137],"from":[138],"metastasis":[140],"brain.":[143],"comparison":[145],"showed":[146],"gave":[151],"more":[152],"2.5th":[157],"97.5th":[159],"percentile":[160],"levels,":[161],"instance":[163],"error":[165],"reduced":[170,182],"by":[171],"21%.":[172],"addition,":[174],"time":[176],"computations":[180],"factor":[185],"25.":[186],"It":[187],"concluded":[189],"can":[194,204],"be":[195,205],"used":[196],"speed":[198],"up":[199],"while":[202],"accuracy":[203],"gained":[206],"at":[207],"same":[209],"time.":[210]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}