{"id":"https://openalex.org/W2107486660","doi":"https://doi.org/10.1109/42.870256","title":"LROC analysis of detector-response compensation in SPECT","display_name":"LROC analysis of detector-response compensation in SPECT","publication_year":2000,"publication_date":"2000-05-01","ids":{"openalex":"https://openalex.org/W2107486660","doi":"https://doi.org/10.1109/42.870256","mag":"2107486660","pmid":"https://pubmed.ncbi.nlm.nih.gov/11021689"},"language":"en","primary_location":{"id":"doi:10.1109/42.870256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/42.870256","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/A5032527429","display_name":"Howard C. Gifford","orcid":"https://orcid.org/0000-0001-6664-9943"},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"H.C. Gifford","raw_affiliation_strings":["Department of Radiology, University of Massachusetts Medical School, Worcester 01655, USA","Dept. of Radiol., Massachusetts Univ. Med. Sch., Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Massachusetts Medical School, Worcester 01655, USA","institution_ids":[]},{"raw_affiliation_string":"Dept. of Radiol., Massachusetts Univ. Med. Sch., Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075447974","display_name":"Michael A. King","orcid":"https://orcid.org/0000-0001-8347-9851"},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.A. King","raw_affiliation_strings":["Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024081880","display_name":"R. Glenn Wells","orcid":"https://orcid.org/0000-0002-5376-1263"},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R.G. Wells","raw_affiliation_strings":["Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060050760","display_name":"William G. Hawkins","orcid":"https://orcid.org/0000-0001-7087-3585"},"institutions":[{"id":"https://openalex.org/I4210148899","display_name":"Taber International (United States)","ror":"https://ror.org/03xg63v87","country_code":"US","type":"company","lineage":["https://openalex.org/I4210148899"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W.G. Hawkins","raw_affiliation_strings":["Division of Nuclear Medicine, Picker International, Inc., Cleveland, OH, USA"],"affiliations":[{"raw_affiliation_string":"Division of Nuclear Medicine, Picker International, Inc., Cleveland, OH, USA","institution_ids":["https://openalex.org/I4210148899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114118266","display_name":"M.V. Narayanan","orcid":null},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M.V. Narayanan","raw_affiliation_strings":["Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104071022","display_name":"P. Hendrik Pretorius","orcid":null},"institutions":[{"id":"https://openalex.org/I166722992","display_name":"University of Massachusetts Chan Medical School","ror":"https://ror.org/0464eyp60","country_code":"US","type":"education","lineage":["https://openalex.org/I166722992"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P.H. Pretorius","raw_affiliation_strings":["Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA","institution_ids":["https://openalex.org/I166722992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032527429"],"corresponding_institution_ids":["https://openalex.org/I166722992"],"apc_list":null,"apc_paid":null,"fwci":4.6623,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.94627986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"5","first_page":"463","last_page":"473"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9986000061035156,"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":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7057808637619019},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5309222340583801},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5106506943702698},{"id":"https://openalex.org/keywords/correction-for-attenuation","display_name":"Correction for attenuation","score":0.5074712634086609},{"id":"https://openalex.org/keywords/collimator","display_name":"Collimator","score":0.5022628307342529},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4807436466217041},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.45014622807502747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44146984815597534},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4338364601135254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41027626395225525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4013475179672241},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.3872695565223694},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33062082529067993},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2896800637245178},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23200196027755737},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22348925471305847},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.14606702327728271},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12325137853622437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11777633428573608}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7057808637619019},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5309222340583801},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5106506943702698},{"id":"https://openalex.org/C123688308","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Correction for attenuation","level":3,"score":0.5074712634086609},{"id":"https://openalex.org/C2779200277","wikidata":"https://www.wikidata.org/wiki/Q1164658","display_name":"Collimator","level":2,"score":0.5022628307342529},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4807436466217041},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.45014622807502747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44146984815597534},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4338364601135254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41027626395225525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4013475179672241},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3872695565223694},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33062082529067993},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2896800637245178},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23200196027755737},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22348925471305847},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.14606702327728271},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12325137853622437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11777633428573608},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005710","descriptor_name":"Gallium Radioisotopes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005710","descriptor_name":"Gallium Radioisotopes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005710","descriptor_name":"Gallium Radioisotopes","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":"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":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008223","descriptor_name":"Lymphoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008223","descriptor_name":"Lymphoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008223","descriptor_name":"Lymphoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013899","descriptor_name":"Thoracic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013899","descriptor_name":"Thoracic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013899","descriptor_name":"Thoracic Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D015588","descriptor_name":"Observer Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015588","descriptor_name":"Observer Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015588","descriptor_name":"Observer Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":"Q000295","qualifier_name":"instrumentation","is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015899","descriptor_name":"Tomography, Emission-Computed, Single-Photon","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal 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":"D016012","descriptor_name":"Poisson Distribution","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}],"locations_count":2,"locations":[{"id":"doi:10.1109/42.870256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/42.870256","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:11021689","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/11021689","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":47,"referenced_works":["https://openalex.org/W36237730","https://openalex.org/W113775028","https://openalex.org/W1822705084","https://openalex.org/W1951064483","https://openalex.org/W1963701277","https://openalex.org/W1966946115","https://openalex.org/W1970273148","https://openalex.org/W1971724710","https://openalex.org/W1980311256","https://openalex.org/W1988270146","https://openalex.org/W2004804713","https://openalex.org/W2005603742","https://openalex.org/W2032322171","https://openalex.org/W2042964827","https://openalex.org/W2053020452","https://openalex.org/W2055633102","https://openalex.org/W2059966587","https://openalex.org/W2060724489","https://openalex.org/W2069629287","https://openalex.org/W2074210823","https://openalex.org/W2094808096","https://openalex.org/W2103166698","https://openalex.org/W2104596620","https://openalex.org/W2111237469","https://openalex.org/W2115076401","https://openalex.org/W2115618963","https://openalex.org/W2117578209","https://openalex.org/W2125418642","https://openalex.org/W2126757412","https://openalex.org/W2127741753","https://openalex.org/W2129721511","https://openalex.org/W2134306264","https://openalex.org/W2143364948","https://openalex.org/W2146931879","https://openalex.org/W2151767695","https://openalex.org/W2154744699","https://openalex.org/W2341059552","https://openalex.org/W2416477487","https://openalex.org/W2462852359","https://openalex.org/W2564284826","https://openalex.org/W2996966734","https://openalex.org/W4245757410","https://openalex.org/W4291269679","https://openalex.org/W6601420472","https://openalex.org/W6640739965","https://openalex.org/W6676748908","https://openalex.org/W6682408841"],"related_works":["https://openalex.org/W2098022370","https://openalex.org/W4390227130","https://openalex.org/W2128367053","https://openalex.org/W2056742148","https://openalex.org/W2107386309","https://openalex.org/W2527842394","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W2058165188","https://openalex.org/W1551815774"],"abstract_inverted_index":{"Localization":[0],"ROC":[1],"(LROC)":[2],"observer":[3],"studies":[4,105,171],"examined":[5],"whether":[6],"detector":[7],"response":[8],"compensation":[9],"(DRC)":[10],"in":[11,17,35],"ordered-subset,":[12],"expectation-maximization":[13],"(OSEM)":[14],"reconstructions":[15],"helps":[16],"the":[18,30,36,42,115,119,137,173,183],"detection":[19,184],"and":[20,47,88,132,151,179],"localization":[21],"of":[22,29,44,145,175],"hot":[23],"tumors.":[24],"Simulated":[25],"gallium":[26],"(Ga-67)":[27],"images":[28],"thoracic":[31],"region":[32],"were":[33,61,102],"used":[34],"study.":[37],"The":[38],"projection":[39],"data":[40],"modeled":[41],"acquisition":[43],"attenuated":[45],"93-":[46],"185-keV":[48],"photons":[49],"with":[50,63,68,79,84,93,129,153,190,194],"a":[51,108,111,162],"medium-energy":[52],"parallel-hole":[53],"collimator,":[54],"but":[55],"scatter":[56],"was":[57,140,159],"not":[58],"modeled.":[59],"Images":[60],"reconstructed":[62],"five":[64],"strategies:":[65],"1)":[66],"OSEM":[67,72,78,83,128,152,176,193],"no":[69,94,130,154,195],"DRC;":[70,81,87],"2)":[71],"preceded":[73],"by":[74,123],"restoration":[75,126,149],"filtering;":[76],"3)":[77],"iterative":[80,124,187],"4)":[82],"an":[85],"ideal":[86,116],"5)":[89],"filtered":[90],"backprojection":[91],"(FBP)":[92],"DRC.":[95,155,196],"All":[96],"strategies":[97,146],"included":[98],"attenuation":[99],"correction.":[100],"There":[101],"four":[103],"LROC":[104],"conducted.":[106],"In":[107],"study":[109,165],"using":[110,166],"single":[112],"tumor":[113,168,180],"activity,":[114],"DRC":[117,188],"offered":[118,189],"best":[120],"performance,":[121],"followed":[122],"DRC,":[125,131],"filtering,":[127],"FBP.":[133],"Statistical":[134],"significance":[135],"at":[136],"5%":[138],"level":[139],"found":[141,160],"between":[142],"all":[143],"pairs":[144],"except":[147],"for":[148,161],"filtering":[150],"A":[156],"similar":[157],"ranking":[158],"more":[163],"realistic":[164],"multiple":[167],"activities.":[169],"Additional":[170],"considered":[172],"effects":[174],"iteration":[177],"number":[178],"activity":[181],"on":[182],"improvement":[185],"that":[186],"respect":[191],"to":[192]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
