{"id":"https://openalex.org/W4200015772","doi":"https://doi.org/10.1109/dicta52665.2021.9647370","title":"Brain MRI motion artifact reduction using 3D conditional generative adversarial networks on simulated motion","display_name":"Brain MRI motion artifact reduction using 3D conditional generative adversarial networks on simulated motion","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W4200015772","doi":"https://doi.org/10.1109/dicta52665.2021.9647370"},"language":"en","primary_location":{"id":"doi:10.1109/dicta52665.2021.9647370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta52665.2021.9647370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Digital Image Computing: Techniques and Applications (DICTA)","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/A5082380528","display_name":"Mina Ghaffari","orcid":"https://orcid.org/0000-0002-1030-6666"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Mina Ghaffari","raw_affiliation_strings":["School of Engineering Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077684243","display_name":"Kamlesh Pawar","orcid":"https://orcid.org/0000-0001-6199-2312"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kamlesh Pawar","raw_affiliation_strings":["Monash Biomedical Imaging Monash University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Monash Biomedical Imaging Monash University, Melbourne, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081966761","display_name":"Ruth Oliver","orcid":"https://orcid.org/0000-0002-1888-9990"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Ruth Oliver","raw_affiliation_strings":["School of Engineering Macquarie University, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082380528"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":null,"apc_paid":null,"fwci":1.0996,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7789787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9990000128746033,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9990000128746033,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9954000115394592,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7742605209350586},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7012537717819214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007216215133667},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6200128793716431},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.6190705895423889},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5293113589286804},{"id":"https://openalex.org/keywords/human-connectome-project","display_name":"Human Connectome Project","score":0.4459284245967865},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4452265799045563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42424681782722473},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4219313859939575},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.4177643656730652},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41184136271476746},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2855178713798523}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7742605209350586},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7012537717819214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007216215133667},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6200128793716431},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.6190705895423889},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5293113589286804},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.4459284245967865},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4452265799045563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42424681782722473},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4219313859939575},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.4177643656730652},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41184136271476746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2855178713798523},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta52665.2021.9647370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta52665.2021.9647370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1812490466","https://openalex.org/W1983208069","https://openalex.org/W1984322424","https://openalex.org/W1986218154","https://openalex.org/W2049552820","https://openalex.org/W2133665775","https://openalex.org/W2194775991","https://openalex.org/W2807888536","https://openalex.org/W2896204152","https://openalex.org/W2907500450","https://openalex.org/W2914057844","https://openalex.org/W2942354470","https://openalex.org/W2945147429","https://openalex.org/W2956000111","https://openalex.org/W2963073614","https://openalex.org/W2963185411","https://openalex.org/W2963373786","https://openalex.org/W2979754953","https://openalex.org/W2994765044","https://openalex.org/W2996803309","https://openalex.org/W3013349709","https://openalex.org/W3097937452","https://openalex.org/W3105747145","https://openalex.org/W3150452586","https://openalex.org/W6718379498","https://openalex.org/W6755444314","https://openalex.org/W6757227338","https://openalex.org/W6793654395"],"related_works":["https://openalex.org/W52840052","https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W3162837891","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W1687852313","https://openalex.org/W3029243869","https://openalex.org/W2502336004"],"abstract_inverted_index":{"Magnetic":[0],"resonance":[1],"imaging":[2],"is":[3,24],"a":[4,46,82,125,136],"well":[5,131],"established":[6],"technique":[7],"for":[8,58,78,209],"clinical":[9,213],"diagnosis":[10],"and":[11,95,108,140,151,195],"quantifying":[12],"disease":[13],"modifying":[14],"therapies.":[15],"Whilst":[16],"the":[17,26,36,87,217,222],"exquisite":[18],"tissue":[19],"contrast":[20],"sensitivity":[21],"of":[22,92,221],"MRI":[23,61],"indisputable,":[25],"modality":[27],"can":[28],"be":[29],"susceptible":[30],"to":[31,44,72,99,180,193,200,215],"motion":[32,62,97,101,116,178,187],"artifacts":[33,98],"occurring":[34],"during":[35],"acquisition":[37],"phase.":[38],"In":[39,70],"this":[40],"work,":[41],"we":[42,80,111],"propose":[43],"use":[45],"3D":[47,137,223],"deep":[48],"learning":[49],"network":[50],"based":[51],"on":[52,113],"conditional":[53],"generative":[54],"adversarial":[55],"networks":[56],"(cGAN)":[57],"retrospective":[59],"brain":[60,225],"artifact":[63],"reduction":[64],"from":[65,86,171,191,198],"T1":[66],"weighted":[67],"(T1-w)":[68],"images.":[69,118],"order":[71],"create":[73],"ground":[74],"truth":[75,174,183],"(motion-free)":[76],"images":[77],"training,":[79],"selected":[81],"large":[83],"clean":[84],"dataset":[85],"Human":[88],"Connectome":[89],"Project":[90],"(HCP)":[91],"1200":[93],"subjects":[94],"simulated":[96],"produce":[100],"corrupted":[102,117],"data.":[103],"To":[104],"evaluate":[105],"model":[106,120,127,163,185,204],"performance":[107,121,205],"its":[109,207],"generalisability,":[110],"tested":[112],"300":[114],"unseen":[115],"The":[119,161,202],"was":[122],"compared":[123],"with":[124,177],"conventional":[126],"(Gaussian":[128],"smoothing),":[129],"as":[130,132,158],"two":[133],"state-of-the-art":[134],"models:":[135],"Generic":[138],"U-net":[139],"MoCoNet.":[141],"Normalized":[142],"mean":[143,147],"squared":[144],"error":[145],"(NMSE),":[146],"structural":[148],"similarity":[149],"(SSIM),":[150],"peak":[152],"signal-to-noise":[153],"ratio":[154],"(PSNR)":[155],"were":[156],"used":[157,211],"evaluation":[159],"metrics.":[160],"proposed":[162],"outperformed":[164],"all":[165],"other":[166],"models":[167],"by":[168],"decreasing":[169],"NMSE":[170],"0.042":[172],"(ground":[173,182],"vs.":[175,184],"image":[176,228],"simulation)":[179],"0.032":[181],"output:":[186],"reduced),":[188],"enhancing":[189],"SSIM":[190],"0.964":[192],"0.98,":[194],"increasing":[196],"PSNR":[197],"33.43":[199],"34.23.":[201],"promising":[203],"suggests":[206],"potential":[208],"being":[210],"in":[212],"setup":[214],"enhance":[216],"overall":[218],"visual":[219],"perception":[220],"T1-w":[224],"Scans":[226],"after":[227],"acquisition.":[229]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}