{"id":"https://openalex.org/W2168265251","doi":"https://doi.org/10.1109/tmi.2009.2037957","title":"Gap-Filling for the High-Resolution PET Sinograms With a Dedicated DCT-Domain Filter","display_name":"Gap-Filling for the High-Resolution PET Sinograms With a Dedicated DCT-Domain Filter","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2168265251","doi":"https://doi.org/10.1109/tmi.2009.2037957","mag":"2168265251","pmid":"https://pubmed.ncbi.nlm.nih.gov/20199918"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2009.2037957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2037957","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/A5007374914","display_name":"Uygar Tuna","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"U. Tuna","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, FIN-33101 Tampere, Finland. uygar.tuna@tut.fi"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, FIN-33101 Tampere, Finland. uygar.tuna@tut.fi","institution_ids":["https://openalex.org/I4210133110"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027516826","display_name":"Sari Peltonen","orcid":"https://orcid.org/0000-0003-0947-466X"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"S. Peltonen","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061737582","display_name":"Ulla Ruotsalainen","orcid":"https://orcid.org/0000-0001-7775-3412"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"U. Ruotsalainen","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Tampere, Finland"],"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Tampere, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007374914"],"corresponding_institution_ids":["https://openalex.org/I4210133110"],"apc_list":null,"apc_paid":null,"fwci":4.36,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94284445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"29","issue":"3","first_page":"830","last_page":"839"},"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":0.9993000030517578,"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/T10358","display_name":"Advanced Radiotherapy Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.7216479778289795},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5885351300239563},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5662487745285034},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5583914518356323},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5501835346221924},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5116984844207764},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.505692720413208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4941261112689972},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4528026878833771},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41266560554504395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3235892355442047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20454636216163635}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.7216479778289795},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5885351300239563},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5662487745285034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5583914518356323},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5501835346221924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5116984844207764},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.505692720413208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4941261112689972},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4528026878833771},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41266560554504395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3235892355442047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20454636216163635}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002247","descriptor_name":"Carbon Isotopes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002247","descriptor_name":"Carbon Isotopes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002247","descriptor_name":"Carbon Isotopes","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":"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":"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":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","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":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020891","descriptor_name":"Raclopride","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020891","descriptor_name":"Raclopride","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020891","descriptor_name":"Raclopride","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2009.2037957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2009.2037957","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:20199918","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20199918","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2092821152","https://openalex.org/W2133594110","https://openalex.org/W2143531541","https://openalex.org/W2146892597","https://openalex.org/W2156688595","https://openalex.org/W2156878574","https://openalex.org/W2538870499"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2186390138","https://openalex.org/W2060035984","https://openalex.org/W2790129917","https://openalex.org/W2992856432","https://openalex.org/W2100638064","https://openalex.org/W2004988775","https://openalex.org/W2537408670"],"abstract_inverted_index":{"High-resolution":[0],"positron":[1],"emission":[2],"tomography":[3],"(PET)":[4],"scanners":[5,25],"have":[6],"brought":[7],"many":[8],"improvements":[9],"to":[10,33,62,114,130],"the":[11,17,21,24,29,34,39,50,54,64,67,73,104,107,115,131,138,163,169,188,210,214,225,235,246],"nuclear":[12],"medicine":[13],"imaging":[14],"field.":[15],"However,":[16],"mechanical":[18],"limitations":[19],"in":[20,178,245],"construction":[22],"of":[23,106,166,209,242],"introduced":[26],"gaps":[27],"between":[28],"detectors,":[30],"and":[31,94,98,157],"accordingly,":[32],"acquired":[35],"projection":[36],"data.":[37],"When":[38],"methods":[40,189,211],"requiring":[41],"full-sinogram":[42],"dataset,":[43],"e.g.,":[44],"filtered":[45],"backprojection":[46],"(FBP)":[47],"are":[48],"applied,":[49],"missing":[51,68],"parts":[52],"degrade":[53],"reconstructed":[55,199],"images.":[56],"In":[57],"this":[58],"study,":[59],"we":[60,76,141],"aim":[61],"compensate":[63],"sinograms":[65],"for":[66,234],"parts,":[69],"i.e.,":[70],"gaps.":[71],"For":[72,103,137],"gap":[74,204,215],"filling,":[75],"propose":[77],"an":[78],"iterative":[79],"discrete-cosine":[80],"transform":[81],"(DCT)":[82],"domain":[83,92,101,121,173,220],"method":[84,123],"with":[85,89,96,124,151,191,217,239,256],"two":[86,125],"versions:":[87],"1)":[88],"basic":[90],"DCT":[91,100,120,172,219],"filter":[93,174],"2)":[95],"dedicated":[97,170],"gap-dependent":[99,171],"filter.":[102],"testing":[105],"methods,":[108],"2-D":[109,201],"FBP":[110,202],"reconstructions":[111],"were":[112,160],"applied":[113],"gap-filled":[116],"sinograms.":[117],"The":[118,206,228],"proposed":[119,229],"gap-filling":[122],"different":[126,147],"filters":[127,221],"was":[128],"compared":[129],"constrained":[132],"Fourier":[133],"space":[134],"(CFS)":[135],"method.":[136,227],"quantitative":[139,176],"analysis,":[140],"used":[142,233],"numerical":[143],"phantoms":[144],"at":[145,181],"eight":[146],"Poisson":[148],"noise":[149,183],"levels":[150],"100":[152],"realizations.":[153],"Mean-square":[154],"error,":[155],"bias,":[156],"variance":[158],"evaluations":[159],"performed":[161,222],"over":[162],"selected":[164],"regions":[165],"interest.":[167],"Only":[168],"showed":[175,212],"improvement":[177],"all":[179],"regions,":[180],"each":[182],"level.":[184],"We":[185],"also":[186,255],"assessed":[187],"visually":[190],"a":[192],"[(11)":[193],"C]":[194],"raclopride":[195],"human":[196],"brain":[197],"study":[198],"by":[200],"after":[203],"filling.":[205],"visual":[207],"comparisons":[208],"that":[213],"filling":[216],"both":[218],"better":[223],"than":[224],"CFS":[226],"technique":[230],"can":[231],"be":[232],"sinograms,":[236],"not":[237],"only":[238],"limited":[240],"range":[241],"projections":[243],"as":[244],"high-resolution":[247],"research":[248],"tomograph":[249],"(ECAT":[250],"HRRT)":[251],"PET":[252],"scanner,":[253],"but":[254],"detector":[257],"failure":[258],"artifacts.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
