{"id":"https://openalex.org/W2970529898","doi":"https://doi.org/10.1109/icip.2019.8803737","title":"OCT Volumetric Data Restoration with Latent Distribution of Refractive Index","display_name":"OCT Volumetric Data Restoration with Latent Distribution of Refractive Index","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970529898","doi":"https://doi.org/10.1109/icip.2019.8803737","mag":"2970529898"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ir.library.osaka-u.ac.jp/repo/ouka/all/93362/ProcIntConfImageProcessICIP_2019-September_764.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033186488","display_name":"Genki Fujii","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"G. Fujii","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091610388","display_name":"Y. Yoshida","orcid":"https://orcid.org/0009-0004-0947-2204"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Y. Yoshida","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070966533","display_name":"Shogo Muramatsu","orcid":"https://orcid.org/0000-0002-2990-1238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Muramatsu","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040341698","display_name":"Shunsuke Ono","orcid":"https://orcid.org/0000-0001-7890-5131"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Ono","raw_affiliation_strings":["Tokyo Institute of Tech, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Tech, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001606341","display_name":"Samuel Choi","orcid":"https://orcid.org/0000-0001-5373-5746"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Choi","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010251793","display_name":"T. \u014cta","orcid":"https://orcid.org/0000-0003-0011-8925"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Ota","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026210334","display_name":"Fumiaki Nin","orcid":"https://orcid.org/0000-0002-0408-7540"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"F. Nin","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062455757","display_name":"Hiroshi Hibino","orcid":"https://orcid.org/0000-0003-0688-1489"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Hibino","raw_affiliation_strings":["Niigata Univ, Niigata, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ, Niigata, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033186488"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0997,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44237837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"764","last_page":"768"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":1.0,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9855999946594238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.616446852684021},{"id":"https://openalex.org/keywords/optical-coherence-tomography","display_name":"Optical coherence tomography","score":0.5519447326660156},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4983084201812744},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.48277679085731506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44927772879600525},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4367590546607971},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4203202724456787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3056034445762634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2516708970069885},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21060121059417725},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20985257625579834},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.18821915984153748},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10693445801734924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616446852684021},{"id":"https://openalex.org/C2778818243","wikidata":"https://www.wikidata.org/wiki/Q899552","display_name":"Optical coherence tomography","level":2,"score":0.5519447326660156},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4983084201812744},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.48277679085731506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44927772879600525},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4367590546607971},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4203202724456787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3056034445762634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2516708970069885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21060121059417725},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20985257625579834},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.18821915984153748},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10693445801734924},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2019.8803737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803737","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.library.osaka-u.ac.jp:11094/93362","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ICIP.2019.8803737","pdf_url":"https://ir.library.osaka-u.ac.jp/repo/ouka/all/93362/ProcIntConfImageProcessICIP_2019-September_764.pdf","source":{"id":"https://openalex.org/S4306402540","display_name":"OUKA (Osaka University Knowledge Archive) (Osaka University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98285908","host_organization_name":"The University of Osaka","host_organization_lineage":["https://openalex.org/I98285908"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:irdb.nii.ac.jp:01056:0006131994","is_oa":true,"landing_page_url":"https://hdl.handle.net/11094/93362","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2019 International Conference on Image Processing (ICIP)","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:ir.library.osaka-u.ac.jp:11094/93362","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ICIP.2019.8803737","pdf_url":"https://ir.library.osaka-u.ac.jp/repo/ouka/all/93362/ProcIntConfImageProcessICIP_2019-September_764.pdf","source":{"id":"https://openalex.org/S4306402540","display_name":"OUKA (Osaka University Knowledge Archive) (Osaka University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98285908","host_organization_name":"The University of Osaka","host_organization_lineage":["https://openalex.org/I98285908"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2454283853","display_name":null,"funder_award_id":"AMED-CREST","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G2576085165","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"},{"id":"https://openalex.org/G2750256766","display_name":null,"funder_award_id":"AMED-CREST","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G2792802287","display_name":null,"funder_award_id":"KAKENHI","funder_id":"https://openalex.org/F4320338075","funder_display_name":"Core Research for Evolutional Science and Technology"},{"id":"https://openalex.org/G3579469660","display_name":null,"funder_award_id":"19H04135","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G467777063","display_name":null,"funder_award_id":"16H03164","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4751187879","display_name":"Development of optical tomographic imaging system for in-vivo nano-vibration measurement of whole 3D structure in biological tissue","funder_award_id":"19H02151","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6718509927","display_name":null,"funder_award_id":"CREST","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G975188225","display_name":null,"funder_award_id":"KAKENHI","funder_id":"https://openalex.org/F4320311405","funder_display_name":"Japan Agency for Medical Research and Development"}],"funders":[{"id":"https://openalex.org/F4320311405","display_name":"Japan Agency for Medical Research and Development","ror":"https://ror.org/004rtk039"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970529898.pdf","grobid_xml":"https://content.openalex.org/works/W2970529898.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1983188637","https://openalex.org/W1998991750","https://openalex.org/W2002620156","https://openalex.org/W2009745212","https://openalex.org/W2027606067","https://openalex.org/W2045079045","https://openalex.org/W2056370875","https://openalex.org/W2058532290","https://openalex.org/W2069573044","https://openalex.org/W2093153913","https://openalex.org/W2096971955","https://openalex.org/W2100860054","https://openalex.org/W2102412854","https://openalex.org/W2200349435","https://openalex.org/W2288303267","https://openalex.org/W2338570568","https://openalex.org/W2493239084","https://openalex.org/W2558879954","https://openalex.org/W2576230203","https://openalex.org/W2581387281","https://openalex.org/W2620976957","https://openalex.org/W2799592087","https://openalex.org/W4238056994"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W2323668004","https://openalex.org/W4306164210","https://openalex.org/W1998563493","https://openalex.org/W4313316311","https://openalex.org/W2348498086","https://openalex.org/W4362608745"],"abstract_inverted_index":{"This":[0,60],"work":[1,61],"proposes":[2,62],"a":[3,18,51,66,73,79],"novel":[4],"restoration":[5,71],"model":[6,122],"for":[7,68],"optical":[8],"coherence":[9],"tomography":[10],"(OCT)":[11],"data.":[12,116],"The":[13,99,117],"authors":[14],"have":[15],"been":[16],"developing":[17],"multi-frequency":[19],"swept":[20],"(MS)":[21],"en-face":[22],"OCT":[23,69],"device":[24,40],"that":[25],"can":[26],"help":[27],"understand":[28],"the":[29,32,36,39,47,63,88,91,120,135],"mechanism":[30],"of":[31,65,104,119,138],"sensory":[33],"epithelium":[34],"in":[35,43],"cochlear.":[37],"Although":[38],"has":[41,101],"merit":[42],"acquiring":[44],"moving":[45],"tissues,":[46],"broadened":[48],"light":[49],"gives":[50],"weak":[52],"response;":[53],"thus,":[54],"some":[55],"signal":[56],"restorations":[57],"are":[58],"demanded.":[59],"introduction":[64],"formulation":[67],"data":[70],"as":[72],"convex":[74],"optimization":[75],"problem":[76,89],"by":[77,125,131],"assuming":[78],"latent":[80],"refractive":[81],"index":[82],"distribution.":[83],"An":[84],"algorithm":[85],"to":[86,113],"solve":[87],"with":[90,134],"primal-dual":[92],"splitting":[93],"(PDS)":[94],"framework":[95],"is":[96,123],"then":[97],"derived.":[98],"PDS":[100],"an":[102,132],"advantage":[103],"requiring":[105],"no":[106],"inverse":[107],"matrix":[108],"operation":[109],"and":[110],"being":[111],"able":[112],"handle":[114],"high-dimensional":[115],"significance":[118],"proposed":[121],"verified":[124],"simulations":[126],"on":[127],"artificial":[128],"data,":[129],"followed":[130],"experiment":[133],"actual":[136],"observation":[137],"256":[139,140],"2000":[141],"voxels.":[142]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}