{"id":"https://openalex.org/W3007810004","doi":"https://doi.org/10.1117/12.2548455","title":"Attenuation correction without structural images for PET imaging","display_name":"Attenuation correction without structural images for PET imaging","publication_year":2020,"publication_date":"2020-02-28","ids":{"openalex":"https://openalex.org/W3007810004","doi":"https://doi.org/10.1117/12.2548455","mag":"3007810004"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548455","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","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/A5011903902","display_name":"Yang Lei","orcid":"https://orcid.org/0000-0002-3572-0345"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yang Lei","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049656223","display_name":"Tonghe Wang","orcid":"https://orcid.org/0000-0001-9021-1204"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tonghe Wang","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600403","display_name":"Xue Dong","orcid":"https://orcid.org/0000-0002-6213-2821"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue Dong","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080256711","display_name":"Kristin Higgins","orcid":"https://orcid.org/0000-0003-1496-9878"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kristin Higgins","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365653","display_name":"Tian Liu","orcid":"https://orcid.org/0000-0002-5810-4318"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Liu","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026088869","display_name":"Walter J. Curran","orcid":"https://orcid.org/0000-0002-7552-4453"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter J. Curran","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068714594","display_name":"Hui Mao","orcid":"https://orcid.org/0000-0002-0147-6022"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Mao","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000322709","display_name":"Jonathon A. Nye","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathon A. Nye","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100619090","display_name":"Xiaofeng Yang","orcid":"https://orcid.org/0000-0001-9023-5855"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaofeng Yang","raw_affiliation_strings":["Emory Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"Emory Univ. (United States)","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5011903902"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.1101,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46467797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"62"},"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/T11949","display_name":"Nuclear Physics and Applications","score":0.9932000041007996,"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"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9932000041007996,"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/attenuation","display_name":"Attenuation","score":0.6389395594596863},{"id":"https://openalex.org/keywords/correction-for-attenuation","display_name":"Correction for attenuation","score":0.5034639239311218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4865633547306061},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4166710078716278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.333288311958313},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19635853171348572},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11885440349578857}],"concepts":[{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6389395594596863},{"id":"https://openalex.org/C123688308","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Correction for attenuation","level":3,"score":0.5034639239311218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4865633547306061},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4166710078716278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.333288311958313},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19635853171348572},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11885440349578857}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2548455","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2334000142","https://openalex.org/W2919843379","https://openalex.org/W2534086599","https://openalex.org/W2288985746","https://openalex.org/W167525318","https://openalex.org/W1969031584","https://openalex.org/W2539843374","https://openalex.org/W2316653139","https://openalex.org/W2539802858","https://openalex.org/W4391267949"],"abstract_inverted_index":{"Deriving":[0],"accurate":[1],"attenuation":[2,39,49,191],"correction":[3,40,192],"factors":[4],"for":[5,61],"whole-body":[6,62,155,177],"positron":[7],"emission":[8],"tomography":[9],"(PET)":[10],"images":[11,60],"is":[12,120],"challenging":[13],"due":[14],"to":[15,28,43,76,122,187],"issues":[16],"such":[17,109],"as":[18],"truncation,":[19],"inter-scan":[20],"motion,":[21],"and":[22,54,99,137,170,180,202],"erroneous":[23],"transformation":[24,87,108,128],"of":[25,154,175,178],"structural":[26],"voxelintensities":[27],"PET":[29,51,57,63,79,101,113,119,125,190],"\u03bc-map":[30],"values.":[31],"In":[32],"this":[33],"work,":[34],"we":[35],"proposed":[36,162,183],"a":[37,86,134,142,184],"deep-learning-based":[38,185],"(DL-AC)":[41],"method":[42,84,164,197],"derive":[44],"the":[45,90,117,166,176],"nonlinear":[46],"mapping":[47],"between":[48,92],"corrected":[50,56],"(AC":[52],"PET)":[53,59],"non-attenuation":[55],"(NAC":[58],"imaging.":[64],"A":[65,146],"3D":[66],"cycle-consistent":[67],"generative":[68],"adversarial":[69],"networks":[70],"(cycle":[71],"GAN)":[72],"framework":[73],"was":[74,149],"employed":[75],"synthesize":[77],"AC":[78,100],"from":[80,96,116,193],"NAC":[81,97,112,124,194],"PET.":[82,195],"The":[83,161,196],"learns":[85,105],"that":[88,110],"minimizes":[89],"difference":[91],"DL-AC":[93,118,163],"PET,":[94,98],"generated":[95,115],"images.":[102],"It":[103],"also":[104],"an":[106],"inverse":[107],"cycle":[111],"image":[114],"close":[121],"real":[123],"image.":[126],"Both":[127],"network":[129,136],"architectures":[130],"are":[131,139],"implemented":[132],"by":[133,141],"residual":[135],"outputs":[138],"judged":[140],"fully":[143],"convolutional":[144],"network.":[145],"retrospective":[147],"study":[148],"performed":[150],"on":[151],"23":[152],"sets":[153],"PET/CT":[156],"with":[157],"leave-one-out":[158],"cross":[159],"validation.":[160],"obtained":[165],"average":[167],"mean":[168,172],"error":[169,174],"normalized":[171],"square":[173],"-0.01%±2.91%":[179],"1.21%±1.73%.":[181],"We":[182],"approach":[186],"perform":[188],"wholebody":[189],"demonstrates":[198],"excellent":[199],"quantification":[200],"accuracy":[201],"reliability.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}