{"id":"https://openalex.org/W2344874557","doi":"https://doi.org/10.1109/tmi.2016.2520092","title":"Spatio-Temporal Multiscale Denoisingof Fluoroscopic Sequence","display_name":"Spatio-Temporal Multiscale Denoisingof Fluoroscopic Sequence","publication_year":2016,"publication_date":"2016-01-21","ids":{"openalex":"https://openalex.org/W2344874557","doi":"https://doi.org/10.1109/tmi.2016.2520092","mag":"2344874557","pmid":"https://pubmed.ncbi.nlm.nih.gov/26812705"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2016.2520092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2520092","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/A5064323722","display_name":"Carole Amiot","orcid":null},"institutions":[{"id":"https://openalex.org/I4210140930","display_name":"Thales (France)","ror":"https://ror.org/04emwm605","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210140930"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Carole Amiot","raw_affiliation_strings":["Gipsa-Lab, Saint-Martin d'H\u00e8res, France","Thales Electron Devices (TED), Moirans, France"],"affiliations":[{"raw_affiliation_string":"Gipsa-Lab, Saint-Martin d'H\u00e8res, France","institution_ids":["https://openalex.org/I4210124956"]},{"raw_affiliation_string":"Thales Electron Devices (TED), Moirans, France","institution_ids":["https://openalex.org/I4210140930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047383054","display_name":"C. Girard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Catherine Girard","raw_affiliation_strings":["TED, Moirans, France"],"affiliations":[{"raw_affiliation_string":"TED, Moirans, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Gipsa-Lab, Saint-Martin d'H\u00e8res, France"],"affiliations":[{"raw_affiliation_string":"Gipsa-Lab, Saint-Martin d'H\u00e8res, France","institution_ids":["https://openalex.org/I4210124956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045518515","display_name":"J. Pescatore","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeremie Pescatore","raw_affiliation_strings":["TED, Moirans, France"],"affiliations":[{"raw_affiliation_string":"TED, Moirans, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025442781","display_name":"Michel Desvignes","orcid":"https://orcid.org/0000-0003-4191-1014"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Michel Desvignes","raw_affiliation_strings":["Gipsa-Lab, Saint-Martin d'H\u00e8res, France"],"affiliations":[{"raw_affiliation_string":"Gipsa-Lab, Saint-Martin d'H\u00e8res, France","institution_ids":["https://openalex.org/I4210124956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064323722"],"corresponding_institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I4210140930"],"apc_list":null,"apc_paid":null,"fwci":2.368,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92380621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"35","issue":"6","first_page":"1565","last_page":"1574"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.996399998664856,"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/noise-reduction","display_name":"Noise reduction","score":0.7909774780273438},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6968908309936523},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6342880725860596},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6140019297599792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.593200147151947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5618361234664917},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.48669058084487915},{"id":"https://openalex.org/keywords/curvelet","display_name":"Curvelet","score":0.4780866801738739},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44930627942085266},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.44817838072776794},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.42681336402893066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34904199838638306},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.33898815512657166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24145951867103577},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.232084721326828}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7909774780273438},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6968908309936523},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6342880725860596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140019297599792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593200147151947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5618361234664917},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.48669058084487915},{"id":"https://openalex.org/C131720326","wikidata":"https://www.wikidata.org/wiki/Q5196075","display_name":"Curvelet","level":4,"score":0.4780866801738739},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44930627942085266},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.44817838072776794},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.42681336402893066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34904199838638306},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.33898815512657166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24145951867103577},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.232084721326828},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005471","descriptor_name":"Fluoroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005471","descriptor_name":"Fluoroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005471","descriptor_name":"Fluoroscopy","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009038","descriptor_name":"Motion","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013131","descriptor_name":"Spine","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062211","descriptor_name":"Spatio-Temporal Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062211","descriptor_name":"Spatio-Temporal Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062211","descriptor_name":"Spatio-Temporal Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tmi.2016.2520092","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2520092","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:26812705","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26812705","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},{"id":"pmh:oai:HAL:hal-01442570v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01442570","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Medical Imaging, 2016, 35 (6), pp.1565-1574. ⟨10.1109/TMI.2016.2520092⟩","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W69582518","https://openalex.org/W1803447832","https://openalex.org/W1972175688","https://openalex.org/W1996176493","https://openalex.org/W1998005542","https://openalex.org/W2014837906","https://openalex.org/W2018332268","https://openalex.org/W2029652747","https://openalex.org/W2031836675","https://openalex.org/W2032845211","https://openalex.org/W2078815331","https://openalex.org/W2107214962","https://openalex.org/W2115528090","https://openalex.org/W2120082537","https://openalex.org/W2124781496","https://openalex.org/W2129534965","https://openalex.org/W2133155955","https://openalex.org/W2137577808","https://openalex.org/W2138764034","https://openalex.org/W2141323860","https://openalex.org/W2141461755","https://openalex.org/W2143820350","https://openalex.org/W2145023731","https://openalex.org/W2145676255","https://openalex.org/W2164507445","https://openalex.org/W2996456161","https://openalex.org/W6602845191","https://openalex.org/W6680683657","https://openalex.org/W6771917039","https://openalex.org/W6842594352"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W4213271663","https://openalex.org/W1699622673","https://openalex.org/W2776327255","https://openalex.org/W2082304850","https://openalex.org/W2035842925","https://openalex.org/W1998728244","https://openalex.org/W2511423457","https://openalex.org/W2378657331","https://openalex.org/W2536791468"],"abstract_inverted_index":{"In":[0],"the":[1,20,29,32,35,44,112,120,125,137,153],"past":[2],"20":[3],"years,":[4],"a":[5,52,58,73,78,85,108,157],"wide":[6],"range":[7],"of":[8,19,37,55,136],"complex":[9,127],"fluoroscopically":[10],"guided":[11],"procedures":[12],"have":[13],"shown":[14],"considerable":[15],"growth.":[16],"Biologic":[17],"effects":[18],"exposure":[21],"(radiation":[22],"induced":[23],"burn,":[24],"cancer)":[25],"lead":[26],"to":[27,105,134],"reduce":[28],"dose":[30,45,159],"during":[31],"intervention,":[33],"for":[34,107],"safety":[36],"patients":[38],"and":[39,57,64,100,123,130,141,147],"medical":[40],"staff.":[41],"However,":[42],"when":[43],"is":[46,97],"reduced,":[47],"image":[48],"quality":[49],"decreases,":[50],"with":[51],"high":[53,94],"level":[54],"noise":[56],"very":[59],"low":[60],"contrast.":[61],"Efficient":[62],"restoration":[63],"denoising":[65,110],"algorithms":[66],"should":[67],"overcome":[68],"this":[69,117],"drawback.":[70],"We":[71,115],"propose":[72],"spatio-temporal":[74],"filter":[75,82,118,155],"operating":[76],"in":[77,111,119,124],"multi-scales":[79],"space.":[80],"This":[81],"relies":[83],"on":[84,144],"first":[86,98],"order,":[87],"motion":[88],"compensated,":[89],"recursive":[90],"temporal":[91,113],"denoising.":[92],"Temporal":[93],"frequency":[95],"content":[96],"detected":[99],"then":[101],"matched":[102],"over":[103],"time":[104],"allow":[106],"strong":[109],"axis.":[114],"study":[116],"curvelet":[121],"domain":[122],"dual-tree":[126],"wavelet":[128],"domain,":[129],"compare":[131],"those":[132],"results":[133],"state":[135],"art":[138],"methods.":[139],"Quantitative":[140],"qualitative":[142],"analysis":[143],"both":[145],"synthetic":[146],"real":[148],"fluoroscopic":[149],"sequences":[150],"demonstrate":[151],"that":[152],"proposed":[154],"allows":[156],"great":[158],"reduction.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2016-06-24T00:00:00"}