{"id":"https://openalex.org/W2134257801","doi":"https://doi.org/10.1109/tmi.2010.2095025","title":"Novel Scatter Compensation of List-Mode PET Data Using Spatial and Energy Dependent Corrections","display_name":"Novel Scatter Compensation of List-Mode PET Data Using Spatial and Energy Dependent Corrections","publication_year":2010,"publication_date":"2010-12-09","ids":{"openalex":"https://openalex.org/W2134257801","doi":"https://doi.org/10.1109/tmi.2010.2095025","mag":"2134257801","pmid":"https://pubmed.ncbi.nlm.nih.gov/21118770"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2010.2095025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2010.2095025","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/A5014453985","display_name":"Brigitte Gu\u00e9rin","orcid":"https://orcid.org/0000-0002-0319-4512"},"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":"B Gu\u00e9rin","raw_affiliation_strings":["Massachusetts General Hospital, Division of Nuclear Medicine and Molecular Imaging, Boston, MA 02114, USA. guerin@pet.mgh.harvard.edu","Div. of Nucl. Med. & Mol. Imaging, Massachusetts Gen. Hosp., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts General Hospital, Division of Nuclear Medicine and Molecular Imaging, Boston, MA 02114, USA. guerin@pet.mgh.harvard.edu","institution_ids":["https://openalex.org/I4210087915"]},{"raw_affiliation_string":"Div. of Nucl. Med. & Mol. Imaging, Massachusetts Gen. Hosp., Boston, MA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053436378","display_name":"Georges El Fakhri","orcid":"https://orcid.org/0000-0002-9005-6993"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"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":"G El Fakhri","raw_affiliation_strings":["Division of Nuclear Medicine and Molecular Imaging, Harvard Medical School and the Massachusetts General Hospital, Boston, MA, USA","Div. of Nucl. Med. & Mol. Imaging, Massachusetts Gen. Hosp., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Nuclear Medicine and Molecular Imaging, Harvard Medical School and the Massachusetts General Hospital, Boston, MA, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210087915"]},{"raw_affiliation_string":"Div. of Nucl. Med. & Mol. Imaging, Massachusetts Gen. Hosp., Boston, MA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5988,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.82861145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":"3","first_page":"759","last_page":"773"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9980999827384949,"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/physics","display_name":"Physics","score":0.6492031812667847},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.6134896278381348},{"id":"https://openalex.org/keywords/photon","display_name":"Photon","score":0.5481510758399963},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5162846446037292},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.5040539503097534},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4728318154811859},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4284972846508026},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.40508878231048584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3448876142501831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.340861976146698},{"id":"https://openalex.org/keywords/computational-physics","display_name":"Computational physics","score":0.32793140411376953},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2724619507789612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24693694710731506},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.2006402611732483},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1935984194278717}],"concepts":[{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.6492031812667847},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.6134896278381348},{"id":"https://openalex.org/C159317903","wikidata":"https://www.wikidata.org/wiki/Q3198","display_name":"Photon","level":2,"score":0.5481510758399963},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5162846446037292},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.5040539503097534},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4728318154811859},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4284972846508026},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.40508878231048584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3448876142501831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.340861976146698},{"id":"https://openalex.org/C30475298","wikidata":"https://www.wikidata.org/wiki/Q909554","display_name":"Computational physics","level":1,"score":0.32793140411376953},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2724619507789612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24693694710731506},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.2006402611732483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1935984194278717},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","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":"D019047","descriptor_name":"Phantoms, Imaging","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":"D049268","descriptor_name":"Positron-Emission Tomography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2010.2095025","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2010.2095025","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:21118770","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21118770","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:2168600","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3120772","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":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1006003620","display_name":null,"funder_award_id":"R21EB012326","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G2791613443","display_name":null,"funder_award_id":"R01-HL95076","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G4753056617","display_name":null,"funder_award_id":"R01-HL110241","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G775915799","display_name":null,"funder_award_id":"R56 HL095076","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"}],"funders":[{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1964000673","https://openalex.org/W1974816985","https://openalex.org/W2014622670","https://openalex.org/W2036363762","https://openalex.org/W2039010369","https://openalex.org/W2049633694","https://openalex.org/W2062042462","https://openalex.org/W2064079339","https://openalex.org/W2105096330","https://openalex.org/W2108078594","https://openalex.org/W2112136242","https://openalex.org/W2112276316","https://openalex.org/W2114222595","https://openalex.org/W2117368760","https://openalex.org/W2132652047","https://openalex.org/W2135612222","https://openalex.org/W2141161788","https://openalex.org/W2147859137","https://openalex.org/W2154569220","https://openalex.org/W2155966365","https://openalex.org/W2160167575","https://openalex.org/W2162978906","https://openalex.org/W2163690080","https://openalex.org/W2322524800","https://openalex.org/W2533145968","https://openalex.org/W4401384015","https://openalex.org/W6676934477"],"related_works":["https://openalex.org/W1488915263","https://openalex.org/W2077799587","https://openalex.org/W2081706695","https://openalex.org/W2138098899","https://openalex.org/W2074037842","https://openalex.org/W2075388011","https://openalex.org/W1965747368","https://openalex.org/W2749866257","https://openalex.org/W2537408670","https://openalex.org/W1965891716"],"abstract_inverted_index":{"With":[0],"the":[1,29,32,51,57,69,80,89,116,124,139,153,180,186,197,206,210,214,223,233,238,261,265,271,280,284,302],"widespread":[2],"use":[3,30,123],"of":[4,26,31,34,53,62,84,92,119,138,147,179,216,227,232,241,249,283],"positron":[5],"emission":[6],"tomography":[7],"(PET)":[8],"crystals":[9],"with":[10,17,23,158],"greatly":[11],"improved":[12],"energy":[13,33,52,90,109,142,182,198,226,262,289],"resolution":[14],"(e.g.,":[15],"11.5%":[16,291],"LYSO":[18],"as":[19],"compared":[20,213,298],"to":[21,68,203,209,230,299],"20%":[22,293],"BGO)":[24],"and":[25,60,94,97,110,149,166,190,225,254,277,292],"list-mode":[27,63,85],"acquisitions,":[28],"individual":[35,54],"events":[36],"in":[37,56,66,74,244,264,270,279],"scatter":[38,47,58,95,120,126,150,207,219,242,266],"correction":[39,59,220,267],"schemes":[40],"becomes":[41],"feasible.":[42],"We":[43,161,212],"propose":[44],"a":[45,177,250,255],"novel":[46,218],"approach":[48,235],"that":[49,99,196,231],"incorporates":[50],"photons":[55],"reconstruction":[61,105],"PET":[64,86],"data":[65,87],"addition":[67],"spatial":[70,111,117,239,303],"information":[71,199,263,304],"presently":[72],"used":[73,202],"clinical":[75],"scanners.":[76],"First,":[77],"we":[78,122,130,194],"rewrite":[79],"Poisson":[81],"likelihood":[82],"function":[83],"including":[88],"distributions":[91],"primary":[93,148,189],"coincidences":[96,121,151,229,243],"show":[98,195],"this":[100,217],"expression":[101],"yields":[102],"an":[103,164],"MLEM":[104],"algorithm":[106],"containing":[107],"both":[108,222],"dependent":[112],"corrections.":[113],"To":[114],"estimate":[115],"distribution":[118,240,273],"single":[125],"simulation":[127],"(SSS).":[128],"Next,":[129],"derive":[131],"two":[132],"new":[133],"formulae":[134],"which":[135],"allow":[136],"estimation":[137,274],"2-D":[140],"(coincidences)":[141],"probability":[143],"density":[144],"functions":[145],"(E-PDF)":[146],"from":[152],"1-D":[154,173],"(photons)":[155],"E-PDFs":[156,174],"associated":[157],"each":[159],"photon.":[160],"also":[162],"describe":[163],"accurate":[165],"robust":[167],"object-specific":[168],"method":[169],"for":[170],"estimating":[171],"these":[172],"based":[175],"on":[176],"decomposition":[178],"total":[181],"spectra":[183],"detected":[184,228],"across":[185],"scanner":[187],"into":[188],"scattered":[191],"components.":[192],"Finally,":[193],"can":[200],"be":[201],"accurately":[204],"normalize":[205],"sinogram":[208],"data.":[211],"performance":[215],"incorporating":[221],"position":[224],"traditional":[234],"modeling":[236],"only":[237],"3-D":[245],"Monte":[246],"Carlo":[247],"simulations":[248],"medium":[251],"cylindrical":[252],"phantom":[253,287],"large,":[256],"nonuniform":[257],"NCAT":[258,286],"phantom.":[259],"Incorporating":[260],"decreased":[268],"bias":[269],"activity":[272],"by":[275],"~20%":[276],"~40%":[278],"cold":[281],"regions":[282],"large":[285],"at":[288,294],"resolutions":[290],"511":[295],"keV,":[296],"respectively,":[297],"when":[300],"using":[301],"alone.":[305]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
