{"id":"https://openalex.org/W3011619271","doi":"https://doi.org/10.1117/12.2550423","title":"A post-acquisition standardization method for positron emission tomography images","display_name":"A post-acquisition standardization method for positron emission tomography images","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3011619271","doi":"https://doi.org/10.1117/12.2550423","mag":"3011619271"},"language":"en","primary_location":{"id":"doi:10.1117/12.2550423","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2550423","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032322712","display_name":"Aliasghar Mortazi","orcid":"https://orcid.org/0000-0001-5909-3166"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aliasghar Mortazi","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065713856","display_name":"Jayaram K. Udupa","orcid":"https://orcid.org/0000-0002-7361-2927"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayaram K. Udupa","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087081239","display_name":"Yubing Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yubing Tong","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080030813","display_name":"Drew A. Torigian","orcid":"https://orcid.org/0000-0001-8999-9735"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Drew A. Torigian","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"135"},"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":0.9993000030517578,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9945999979972839,"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/standardization","display_name":"Standardization","score":0.931288480758667},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.6856634020805359},{"id":"https://openalex.org/keywords/percentile","display_name":"Percentile","score":0.6770108342170715},{"id":"https://openalex.org/keywords/coefficient-of-variation","display_name":"Coefficient of variation","score":0.6454076170921326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5452748537063599},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5044137239456177},{"id":"https://openalex.org/keywords/standardized-uptake-value","display_name":"Standardized uptake value","score":0.46691039204597473},{"id":"https://openalex.org/keywords/partial-volume","display_name":"Partial volume","score":0.42043691873550415},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.4200788736343384},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3872632384300232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3739126920700073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.356603741645813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3250155448913574},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25894370675086975},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22904378175735474},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20849573612213135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17800557613372803}],"concepts":[{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.931288480758667},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.6856634020805359},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.6770108342170715},{"id":"https://openalex.org/C89838059","wikidata":"https://www.wikidata.org/wiki/Q623738","display_name":"Coefficient of variation","level":2,"score":0.6454076170921326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5452748537063599},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5044137239456177},{"id":"https://openalex.org/C199374082","wikidata":"https://www.wikidata.org/wiki/Q907080","display_name":"Standardized uptake value","level":3,"score":0.46691039204597473},{"id":"https://openalex.org/C82233179","wikidata":"https://www.wikidata.org/wiki/Q2054500","display_name":"Partial volume","level":2,"score":0.42043691873550415},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.4200788736343384},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3872632384300232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3739126920700073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.356603741645813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3250155448913574},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25894370675086975},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22904378175735474},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20849573612213135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17800557613372803},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2550423","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2550423","pdf_url":null,"source":{"id":"https://openalex.org/S4306519512","display_name":"Medical Imaging 2020: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1550559433","https://openalex.org/W3213566811","https://openalex.org/W2022108919","https://openalex.org/W2035009881","https://openalex.org/W2117290479","https://openalex.org/W2119325900","https://openalex.org/W2021166906","https://openalex.org/W2080531304","https://openalex.org/W4376522538","https://openalex.org/W3111531113"],"abstract_inverted_index":{"We":[0,34,129],"propose":[1],"a":[2],"new":[3,36,97],"standardization":[4,44,48,82,135],"method":[5,49,83],"to":[6,68,93,101,151],"mitigate":[7],"the":[8,62,80,103,107,119,137,142],"undesired":[9],"effects":[10],"of":[11,18,31,61,106,109,122,125,139,146],"factors":[12],"such":[13],"as":[14,57],"body":[15],"weight,":[16],"duration":[17],"radiotracer":[19],"uptake":[20],"period,":[21],"partial":[22],"volume":[23],"effects,":[24],"etc.,":[25],"that":[26,131,152],"impede":[27],"accurate":[28],"quantitative":[29],"analysis":[30],"PET":[32,55,58,94],"images.":[33,95,156],"introduce":[35],"metrics":[37],"for":[38,91],"evaluation":[39],"and":[40,73],"comparison":[41],"among":[42,141],"different":[43],"methods.":[45],"The":[46],"proposed":[47,84,100],"can":[50],"improve":[51],"disease":[52],"quantification":[53],"from":[54,118,154],"images,":[56],"is":[59,77,99],"one":[60],"major":[63],"clinical":[64],"imaging":[65],"tools":[66],"used":[67],"evaluate":[69],"patients":[70],"with":[71],"cancer":[72],"other":[74],"disorders.":[75],"It":[76],"based":[78],"on":[79],"MRI":[81],"by":[85,112],"Nyul":[86],"et":[87],"al.,":[88],"but":[89],"modified":[90],"application":[92],"A":[96],"approach":[98],"remove":[102],"unwanted":[104],"effect":[105],"tail":[108],"image":[110],"histograms":[111],"finding":[113],"an":[114],"optimal":[115],"maximum":[116],"percentile":[117],"coefficient":[120,138],"variations":[121],"metabolic":[123,144],"activity":[124],"reference":[126],"healthy":[127,147],"organs.":[128],"show":[130],"after":[132],"applying":[133],"our":[134],"method,":[136],"variation":[140],"mean":[143],"activities":[145],"organs":[148],"decreases":[149],"compared":[150],"obtained":[153],"non-standardized":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
