{"id":"https://openalex.org/W1967118744","doi":"https://doi.org/10.1109/isbi.2012.6235727","title":"Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET","display_name":"Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W1967118744","doi":"https://doi.org/10.1109/isbi.2012.6235727","mag":"1967118744"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5113649890","display_name":"Yanguang Lin","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":true,"raw_author_name":"Yanguang Lin","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","[Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089]"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089]","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":["Department of Radiology, Massachusetts General Hospital, Boston, MA, USA","Department of Radiology, Massachusetts General Hospital, Boston, MA 02114"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, Massachusetts General Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I4210087915"]},{"raw_affiliation_string":"Department of Radiology, Massachusetts General Hospital, Boston, MA 02114","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031370363","display_name":"Justin P. Haldar","orcid":"https://orcid.org/0000-0002-1838-0211"},"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":"Justin P. Haldar","raw_affiliation_strings":["Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","[Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089]"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089]","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":["Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","[Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089]"],"affiliations":[{"raw_affiliation_string":"Signal and Image Processing Institute, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"[Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089]","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113649890"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.4851,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6740845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"86","issue":null,"first_page":"1004","last_page":"1007"},"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":0.9980999827384949,"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/T11395","display_name":"Radiopharmaceutical Chemistry and Applications","score":0.9900000095367432,"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/partial-volume","display_name":"Partial volume","score":0.694913387298584},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6397691965103149},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.6353042125701904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5859144330024719},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5390177965164185},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.500220775604248},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4179789423942566},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41305258870124817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35602104663848877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35503602027893066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3457429111003876},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3363227844238281},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30852484703063965}],"concepts":[{"id":"https://openalex.org/C82233179","wikidata":"https://www.wikidata.org/wiki/Q2054500","display_name":"Partial volume","level":2,"score":0.694913387298584},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6397691965103149},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6353042125701904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5859144330024719},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5390177965164185},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.500220775604248},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4179789423942566},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41305258870124817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35602104663848877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35503602027893066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3457429111003876},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3363227844238281},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30852484703063965},{"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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"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":14,"referenced_works":["https://openalex.org/W2034946706","https://openalex.org/W2074054045","https://openalex.org/W2084090004","https://openalex.org/W2084252873","https://openalex.org/W2096788292","https://openalex.org/W2096888825","https://openalex.org/W2097705418","https://openalex.org/W2101301278","https://openalex.org/W2105355656","https://openalex.org/W2130904218","https://openalex.org/W2141696740","https://openalex.org/W2155574073","https://openalex.org/W4241292274","https://openalex.org/W6674887446"],"related_works":["https://openalex.org/W2089168353","https://openalex.org/W1970457826","https://openalex.org/W2160056785","https://openalex.org/W1605096437","https://openalex.org/W1514883753","https://openalex.org/W2021722477","https://openalex.org/W1977815680","https://openalex.org/W2169101840","https://openalex.org/W2155396404","https://openalex.org/W2420770795"],"abstract_inverted_index":{"The":[0,32,143],"estimation":[1],"and":[2,15,104,122,150],"analysis":[3],"of":[4,25,51,108,119],"kinetic":[5],"parameters":[6,86,107],"in":[7,41],"dynamic":[8,26,152],"PET":[9,27,95,153],"is":[10,46,64,80,132,145],"frequently":[11],"confounded":[12],"by":[13],"noise":[14],"partial":[16,38],"volume":[17,39],"effects.":[18],"We":[19],"propose":[20],"a":[21,49,75,117,135],"new":[22],"constrained":[23],"model":[24,40],"to":[28,66,82,138],"address":[29],"these":[30,141],"limitations.":[31],"proposed":[33,65],"formulation":[34],"incorporates":[35],"an":[36],"explicit":[37],"which":[42],"each":[43],"image":[44],"voxel":[45],"represented":[47],"as":[48],"mixture":[50,124],"different":[52,89,109],"pure":[53],"tissue":[54,90,102],"types":[55],"with":[56,134,147],"distinct":[57],"temporal":[58],"dynamics.":[59],"A":[60,126],"two":[61],"stage":[62],"algorithm":[63,131],"solve":[67],"the":[68,72,84,88,93,99,105],"resulting":[69],"problem.":[70],"In":[71,98],"first":[73],"stage,":[74,101],"sparse":[76],"signal":[77],"processing":[78],"method":[79,144],"applied":[81],"estimate":[83,140],"rate":[85],"for":[87],"compartments":[91],"from":[92],"noisy":[94],"time":[96,110],"series.":[97],"second":[100],"fractions":[103],"linear":[106],"activity":[111],"curves":[112],"(TACs)":[113],"are":[114],"estimated":[115],"using":[116],"combination":[118],"sparsity,":[120],"spatial-regularity,":[121],"fractional":[123],"constraints.":[125],"block":[127],"coordinate":[128],"descent":[129],"(BCD)":[130],"combined":[133],"manifold":[136],"search":[137],"robustly":[139],"parameters.":[142],"evaluated":[146],"both":[148],"simulated":[149],"experimental":[151],"data.":[154]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
