{"id":"https://openalex.org/W1973172749","doi":"https://doi.org/10.1109/tmi.2014.2298868","title":"Patlak Image Estimation From Dual Time-Point List-Mode PET Data","display_name":"Patlak Image Estimation From Dual Time-Point List-Mode PET Data","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W1973172749","doi":"https://doi.org/10.1109/tmi.2014.2298868","mag":"1973172749","pmid":"https://pubmed.ncbi.nlm.nih.gov/24710160"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2014.2298868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2298868","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/A5031854562","display_name":"Wentao Zhu","orcid":"https://orcid.org/0000-0001-9290-1778"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wentao Zhu","raw_affiliation_strings":["University of Southern California, Signal and Image Processing Institute, LA, CA, USA","[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Signal and Image Processing Institute, LA, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058429770","display_name":"Quanzheng Li","orcid":"https://orcid.org/0000-0002-9651-5820"},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzheng Li","raw_affiliation_strings":["Massachusetts General Hospital, Boston, MA, USA","Massachusetts Gen. Hosp., Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I4210087915"]},{"raw_affiliation_string":"Massachusetts Gen. Hosp., Boston, MA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090022501","display_name":"Bing Bai","orcid":"https://orcid.org/0000-0002-6953-1948"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Bai","raw_affiliation_strings":["Department of Radiology, University of Southern California, LA, CA, USA","Dept. of Radiol., Univ. of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Southern California, LA, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Dept. of Radiol., Univ. of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111367606","display_name":"Peter S. Conti","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter S. Conti","raw_affiliation_strings":["Department of Radiology, University of Southern California, LA, CA, USA","Dept. of Radiol., Univ. of Southern California, Los Angeles, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Southern California, LA, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"Dept. of Radiol., Univ. of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054387045","display_name":"Richard M. Leahy","orcid":"https://orcid.org/0000-0002-7278-5471"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Richard M. Leahy","raw_affiliation_strings":["University of Southern California, Signal and Image Processing Institute, LA, CA, USA","[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]"],"affiliations":[{"raw_affiliation_string":"University of Southern California, Signal and Image Processing Institute, LA, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA]","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031854562"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":8.3175,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.97908177,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"33","issue":"4","first_page":"913","last_page":"924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging 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/T10522","display_name":"Medical Imaging 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/T10378","display_name":"Advanced MRI Techniques and Applications","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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.5317462682723999},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5067272782325745},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4728660583496094},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4641505479812622},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.45054519176483154},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4440637230873108},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4414672553539276},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3981986939907074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37500572204589844},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35604751110076904},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09632673859596252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5317462682723999},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5067272782325745},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4728660583496094},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4641505479812622},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.45054519176483154},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4440637230873108},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4414672553539276},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3981986939907074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37500572204589844},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35604751110076904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09632673859596252},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[{"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":"D007700","descriptor_name":"Kinetics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007700","descriptor_name":"Kinetics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007700","descriptor_name":"Kinetics","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":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019788","descriptor_name":"Fluorodeoxyglucose F18","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019788","descriptor_name":"Fluorodeoxyglucose F18","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019788","descriptor_name":"Fluorodeoxyglucose F18","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D051598","descriptor_name":"Whole Body Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D051598","descriptor_name":"Whole Body Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D051598","descriptor_name":"Whole Body Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2014.2298868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2014.2298868","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:24710160","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24710160","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:europepmc.org:3174971","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4209255","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1902253552","https://openalex.org/W1903017334","https://openalex.org/W1975979438","https://openalex.org/W1982039560","https://openalex.org/W1982980803","https://openalex.org/W1986679515","https://openalex.org/W1987002881","https://openalex.org/W1987035674","https://openalex.org/W2005277084","https://openalex.org/W2006790284","https://openalex.org/W2010988591","https://openalex.org/W2021230501","https://openalex.org/W2021472598","https://openalex.org/W2033429303","https://openalex.org/W2050946937","https://openalex.org/W2058032697","https://openalex.org/W2059596484","https://openalex.org/W2071664659","https://openalex.org/W2084090004","https://openalex.org/W2084861691","https://openalex.org/W2088422934","https://openalex.org/W2092078486","https://openalex.org/W2097892020","https://openalex.org/W2101301278","https://openalex.org/W2107969388","https://openalex.org/W2111224334","https://openalex.org/W2113426188","https://openalex.org/W2119103933","https://openalex.org/W2121570028","https://openalex.org/W2130457641","https://openalex.org/W2136435949","https://openalex.org/W2140613764","https://openalex.org/W2147998846","https://openalex.org/W2153852849","https://openalex.org/W2154930605","https://openalex.org/W2155574073","https://openalex.org/W2162308311","https://openalex.org/W2162905116","https://openalex.org/W2163517777","https://openalex.org/W2273539664","https://openalex.org/W2327699219","https://openalex.org/W6639738218","https://openalex.org/W6639741160","https://openalex.org/W6674613602","https://openalex.org/W6679912030","https://openalex.org/W6681119384","https://openalex.org/W6683958384","https://openalex.org/W6694284515"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W4206560911","https://openalex.org/W1970611213","https://openalex.org/W2390224981"],"abstract_inverted_index":{"We":[0,56,79],"investigate":[1],"using":[2,31,98],"dual":[3,168],"time-point":[4,169],"PET":[5,20,172],"data":[6,35,126,152,173],"to":[7,50,71,87,113,120,145,177,183],"perform":[8],"Patlak":[9,29,53,143,160],"modeling.":[10],"This":[11],"approach":[12,41],"can":[13],"be":[14,163],"used":[15,112],"for":[16,36,47,165],"whole":[17,170],"body":[18,171],"dynamic":[19,125,151],"studies":[21],"in":[22,62,85,90,116],"which":[23,63],"we":[24,138],"compute":[25],"voxel-wise":[26],"estimates":[27],"of":[28,34,82,142,150,167,180],"parameters":[30],"two":[32,96],"frames":[33,97],"each":[37,48],"bed":[38],"position.":[39],"Our":[40],"directly":[42],"uses":[43,67],"list-mode":[44],"arrival":[45],"times":[46],"event":[49],"estimate":[51],"the":[52,64,83,95,124,131],"parametric":[54],"image.":[55],"use":[57],"a":[58,73,135,148],"penalized":[59],"likelihood":[60],"method":[61,84],"penalty":[65],"function":[66],"spatially":[68],"variant":[69],"weighting":[70],"ensure":[72],"count":[74],"independent":[75],"local":[76],"impulse":[77],"response.":[78],"evaluate":[80],"performance":[81,115,136,141],"comparison":[86],"fractional":[88],"changes":[89],"SUV":[91],"values":[92],"(%DSUV)":[93],"between":[94],"Cramer":[99],"Rao":[100],"analysis":[101,161,166],"and":[102,154,174],"Monte":[103],"Carlo":[104],"simulation.":[105],"Receiver":[106],"operating":[107],"characteristic":[108],"(ROC)":[109],"curves":[110],"are":[111],"compare":[114],"differentiating":[117],"tumors":[118,181],"relative":[119,144,182],"background":[121],"based":[122],"on":[123],"sets.":[127],"Using":[128],"area":[129],"under":[130],"ROC":[132],"curve":[133],"as":[134],"metric,":[137],"show":[139],"superior":[140,178],"%DSUV":[146,184],"over":[147],"range":[149],"sets":[153],"parameters.":[155],"These":[156],"results":[157],"suggest":[158],"that":[159],"may":[162],"appropriate":[164],"could":[175],"lead":[176],"detection":[179],"metrics.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}