{"id":"https://openalex.org/W4386185085","doi":"https://doi.org/10.48550/arxiv.2308.12443","title":"TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction","display_name":"TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386185085","doi":"https://doi.org/10.48550/arxiv.2308.12443"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2308.12443","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.12443","pdf_url":"https://arxiv.org/pdf/2308.12443","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2308.12443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010533392","display_name":"Xueqi Guo","orcid":"https://orcid.org/0000-0002-0416-2811"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guo, Xueqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043026220","display_name":"Luyao Shi","orcid":"https://orcid.org/0000-0002-4703-3294"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Luyao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017790811","display_name":"Xiongchao Chen","orcid":"https://orcid.org/0000-0003-4112-8492"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xiongchao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085149886","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0002-2906-0897"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Bo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336298","display_name":"Qiong Liu","orcid":"https://orcid.org/0000-0001-8153-233X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Qiong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037354068","display_name":"Huidong Xie","orcid":"https://orcid.org/0000-0002-1124-3548"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Huidong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022017027","display_name":"Yi-Hwa Liu","orcid":"https://orcid.org/0000-0003-4211-8763"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yi-Hwa","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034553308","display_name":"Richard Palyo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Palyo, Richard","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089917119","display_name":"Edward J. Miller","orcid":"https://orcid.org/0000-0002-2156-5962"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miller, Edward J.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041557267","display_name":"Albert J. Sinusas","orcid":"https://orcid.org/0000-0003-0972-9589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sinusas, Albert J.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032181150","display_name":"Bruce Spottiswoode","orcid":"https://orcid.org/0000-0002-8807-923X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spottiswoode, Bruce","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705184","display_name":"Chi Liu","orcid":"https://orcid.org/0000-0002-7007-1037"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5030309917","display_name":"Nicha C. Dvornek","orcid":"https://orcid.org/0000-0002-1648-6055"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dvornek, Nicha C.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5010533392"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9952999949455261,"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":0.9921000003814697,"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/computer-science","display_name":"Computer science","score":0.6720111966133118},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6215144395828247},{"id":"https://openalex.org/keywords/cardiac-pet","display_name":"Cardiac PET","score":0.6096836924552917},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6064431667327881},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5349107384681702},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5327214002609253},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"Positron emission tomography","score":0.513251781463623},{"id":"https://openalex.org/keywords/reference-frame","display_name":"Reference frame","score":0.49458953738212585},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4303801953792572},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37337255477905273},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.2524033188819885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20010653138160706},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1386798918247223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6720111966133118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6215144395828247},{"id":"https://openalex.org/C2776845966","wikidata":"https://www.wikidata.org/wiki/Q5038312","display_name":"Cardiac PET","level":3,"score":0.6096836924552917},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6064431667327881},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5349107384681702},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5327214002609253},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.513251781463623},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.49458953738212585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4303801953792572},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37337255477905273},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.2524033188819885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20010653138160706},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1386798918247223},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2308.12443","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.12443","pdf_url":"https://arxiv.org/pdf/2308.12443","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":null},{"id":"doi:10.48550/arxiv.2308.12443","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2308.12443","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2308.12443","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2308.12443","pdf_url":"https://arxiv.org/pdf/2308.12443","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":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/W2441498145","https://openalex.org/W116072750","https://openalex.org/W4243758885","https://openalex.org/W2998456125","https://openalex.org/W2792511980","https://openalex.org/W4308548602","https://openalex.org/W3205967627","https://openalex.org/W2188974500","https://openalex.org/W92052062","https://openalex.org/W2420965517"],"abstract_inverted_index":{"The":[0],"rapid":[1],"tracer":[2,51,103],"kinetics":[3,104],"of":[4,10],"rubidium-82":[5],"($^{82}$Rb)":[6],"and":[7,63,70,106,129,155],"high":[8,140],"variation":[9],"cross-frame":[11],"distribution":[12,52],"in":[13],"dynamic":[14],"cardiac":[15,108],"positron":[16],"emission":[17],"tomography":[18],"(PET)":[19],"raise":[20],"significant":[21],"challenges":[22],"for":[23,28],"inter-frame":[24],"motion":[25,152],"correction,":[26],"particularly":[27],"the":[29,50,79,83,115,145,167],"early":[30,80,137],"frames":[31,81,138],"where":[32],"conventional":[33],"intensity-based":[34],"image":[35,141],"registration":[36,57,62],"techniques":[37],"are":[38],"not":[39],"applicable.":[40],"Alternatively,":[41],"a":[42,68,92,124],"promising":[43],"approach":[44],"utilizes":[45],"generative":[46],"methods":[47],"to":[48,54,77,144,165],"handle":[49],"changes":[53],"assist":[55],"existing":[56],"methods.":[58],"To":[59],"improve":[60],"frame-wise":[61],"parametric":[64],"quantification,":[65],"we":[66],"propose":[67],"Temporally":[69],"Anatomically":[71],"Informed":[72],"Generative":[73],"Adversarial":[74],"Network":[75],"(TAI-GAN)":[76],"transform":[78],"into":[82],"late":[84],"reference":[85,147],"frame":[86],"using":[87,166],"an":[88],"all-to-one":[89],"mapping.":[90],"Specifically,":[91],"feature-wise":[93],"linear":[94],"modulation":[95],"layer":[96],"encodes":[97],"channel-wise":[98],"parameters":[99],"generated":[100],"from":[101],"temporal":[102],"information,":[105],"rough":[107],"segmentations":[109],"with":[110,139],"local":[111],"shifts":[112],"serve":[113],"as":[114],"anatomical":[116],"information.":[117],"We":[118],"validated":[119],"our":[120,132],"proposed":[121],"method":[122],"on":[123],"clinical":[125,156],"$^{82}$Rb":[126],"PET":[127],"dataset":[128],"found":[130],"that":[131],"TAI-GAN":[133,150],"can":[134],"produce":[135],"converted":[136],"quality,":[142],"comparable":[143],"real":[146],"frames.":[148,169],"After":[149],"conversion,":[151],"estimation":[153],"accuracy":[154],"myocardial":[157],"blood":[158],"flow":[159],"(MBF)":[160],"quantification":[161],"were":[162],"improved":[163],"compared":[164],"original":[168],"Our":[170],"code":[171],"is":[172],"published":[173],"at":[174],"https://github.com/gxq1998/TAI-GAN.":[175]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2023-08-26T00:00:00"}
