{"id":"https://openalex.org/W4283070000","doi":"https://doi.org/10.1109/tmi.2022.3184261","title":"Joint Optimization of k-t Sampling Pattern and Reconstruction of DCE MRI for Pharmacokinetic Parameter Estimation","display_name":"Joint Optimization of k-t Sampling Pattern and Reconstruction of DCE MRI for Pharmacokinetic Parameter Estimation","publication_year":2022,"publication_date":"2022-06-17","ids":{"openalex":"https://openalex.org/W4283070000","doi":"https://doi.org/10.1109/tmi.2022.3184261","pmid":"https://pubmed.ncbi.nlm.nih.gov/35714093"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2022.3184261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3184261","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9653303","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101506993","display_name":"Jiaren Zou","orcid":"https://orcid.org/0000-0002-8356-1967"},"institutions":[{"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":["US"],"is_corresponding":true,"raw_author_name":"Jiaren Zou","raw_affiliation_strings":["Department of Radiation Oncology and the Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology and the Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020712237","display_name":"Yue Cao","orcid":"https://orcid.org/0000-0003-3910-3261"},"institutions":[{"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":["US"],"is_corresponding":false,"raw_author_name":"Yue Cao","raw_affiliation_strings":["Department of Radiation Oncology, the Department of Biomedical Engineering, and the Department of Radiology, University of Michigan, Ann Arbor, MI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, the Department of Biomedical Engineering, and the Department of Radiology, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101506993"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":1.1526,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76384876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"41","issue":"11","first_page":"3320","last_page":"3331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","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/T10378","display_name":"Advanced MRI Techniques and Applications","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/T11885","display_name":"MRI in cancer diagnosis","score":0.9998999834060669,"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":0.9997000098228455,"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/joint","display_name":"Joint (building)","score":0.6455042958259583},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.559941291809082},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5496755242347717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5394289493560791},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.476013720035553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39893341064453125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3826766014099121},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38107043504714966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3339534103870392},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32483142614364624}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6455042958259583},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.559941291809082},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5496755242347717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5394289493560791},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.476013720035553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39893341064453125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3826766014099121},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38107043504714966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3339534103870392},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32483142614364624},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":"Q000493","qualifier_name":"pharmacokinetics","is_major_topic":true},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":"Q000493","qualifier_name":"pharmacokinetics","is_major_topic":true},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":"Q000493","qualifier_name":"pharmacokinetics","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":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}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2022.3184261","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2022.3184261","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:35714093","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35714093","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},{"id":"pmh:oai:pubmedcentral.nih.gov:9653303","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9653303","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:9653303","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9653303","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Trans Med Imaging","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7000460574","display_name":null,"funder_award_id":"R01 EB016079","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1482297123","https://openalex.org/W1522301498","https://openalex.org/W1975628725","https://openalex.org/W1982690661","https://openalex.org/W1988821523","https://openalex.org/W2003271614","https://openalex.org/W2004612000","https://openalex.org/W2040319606","https://openalex.org/W2044193212","https://openalex.org/W2061987443","https://openalex.org/W2066037527","https://openalex.org/W2072626310","https://openalex.org/W2076981660","https://openalex.org/W2082359281","https://openalex.org/W2111388536","https://openalex.org/W2115186446","https://openalex.org/W2117649283","https://openalex.org/W2117895833","https://openalex.org/W2156739854","https://openalex.org/W2167714086","https://openalex.org/W2251458555","https://openalex.org/W2338192887","https://openalex.org/W2394579330","https://openalex.org/W2530876881","https://openalex.org/W2550323446","https://openalex.org/W2594014149","https://openalex.org/W2604388535","https://openalex.org/W2737046873","https://openalex.org/W2756142802","https://openalex.org/W2773850766","https://openalex.org/W2893824982","https://openalex.org/W2900855822","https://openalex.org/W2907696891","https://openalex.org/W2922208960","https://openalex.org/W2943302473","https://openalex.org/W2962734274","https://openalex.org/W2963375526","https://openalex.org/W2963439178","https://openalex.org/W2964030969","https://openalex.org/W2972672210","https://openalex.org/W2979723630","https://openalex.org/W2979873180","https://openalex.org/W2979878910","https://openalex.org/W2990057444","https://openalex.org/W2995396522","https://openalex.org/W3022360252","https://openalex.org/W3041188943","https://openalex.org/W3050528501","https://openalex.org/W3097170472","https://openalex.org/W3100730608","https://openalex.org/W3101266014","https://openalex.org/W3109700480","https://openalex.org/W3202020332","https://openalex.org/W4288102849","https://openalex.org/W6631190155","https://openalex.org/W6767820389","https://openalex.org/W6780455530","https://openalex.org/W6891846368"],"related_works":["https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W2367747139","https://openalex.org/W4391102217","https://openalex.org/W2566187525","https://openalex.org/W2566334511","https://openalex.org/W2367150592","https://openalex.org/W2378889330","https://openalex.org/W4243585476"],"abstract_inverted_index":{"This":[0,225],"work":[1,226],"proposes":[2],"to":[3,28,157,218,231],"develop":[4],"and":[5,17,21,31,81,102,139,153,166,202,237,239],"evaluate":[6],"a":[7,46,55,65,73,228],"deep":[8,66],"learning":[9],"framework":[10],"that":[11,193],"jointly":[12,62],"optimizes":[13],"k-t":[14],"sampling":[15],"patterns":[16,44],"reconstruction":[18,70,78,130],"for":[19,45],"head":[20],"neck":[22],"dynamic":[23,68],"contrast-enhanced":[24],"(DCE)":[25],"MRI":[26,60,69,129],"aiming":[27],"reduce":[29],"bias":[30,201],"uncertainty":[32,203],"of":[33,58,110,145,160,210,245],"pharmacokinetic":[34],"(PK)":[35],"parameter":[36,83,174,199,234],"estimation.":[37],"2D":[38],"Cartesian":[39],"phase":[40],"encoding":[41],"k-space":[42,89],"subsampling":[43],"3D":[47],"spoiled":[48],"gradient":[49],"recalled":[50],"echo":[51],"(SPGR)":[52],"sequence":[53],"along":[54],"time":[56],"course":[57],"DCE":[59,111,128,246],"were":[61,122],"optimized":[63,94],"in":[64,204],"learning-based":[67],"network":[71],"by":[72,104,118],"loss":[74],"function":[75],"concerning":[76],"both":[77],"image":[79],"quality":[80],"PK":[82,115,173,198,233],"estimation":[84,200,235],"accuracy.":[85],"During":[86],"training,":[87],"temporal":[88,143,179,208],"data":[90],"sharing":[91],"scheme":[92],"was":[93,100],"as":[95],"well.":[96],"The":[97,114,168,189,212],"proposed":[98,120,169,195,213],"method":[99,121,170,196,214],"trained":[101],"tested":[103],"multi-coil":[105],"complex":[106],"digital":[107],"reference":[108],"objects":[109],"images":[112],"(mcDROs).":[113],"parameters":[116],"estimated":[117],"the":[119,183,194,242],"compared":[123,181],"with":[124,182],"two":[125],"published":[126],"iterative":[127],"schemes":[131],"using":[132],"normalized":[133],"root":[134],"mean":[135],"squared":[136],"errors":[137],"(NRMSEs)":[138],"Bland-Altman":[140,190],"analysis":[141],"at":[142,176,207],"resolutions":[144,180],"[Formula:":[146],"see":[147],"text]":[148],"=":[149,162],"2s,":[150],"3s,":[151],"4s,":[152],"5s,":[154],"which":[155],"correspond":[156],"undersampling":[158],"rates":[159],"R":[161],"50,":[163],"34,":[164],"25,":[165],"20.":[167],"achieved":[171],"low":[172],"NRMSEs":[175],"all":[177],"four":[178],"benchmark":[184],"methods":[185],"on":[186],"testing":[187],"mcDROs.":[188],"plots":[191],"demonstrated":[192],"reduced":[197],"tumor":[205],"regions":[206],"resolution":[209],"2s.":[211],"also":[215],"showed":[216],"robustness":[217],"contrast":[219],"arrival":[220],"timing":[221],"variations":[222],"across":[223],"patients.":[224],"provides":[227],"potential":[229],"way":[230],"increase":[232],"accuracy":[236],"precision,":[238],"thus":[240],"facilitate":[241],"clinical":[243],"translation":[244],"MRI.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}