{"id":"https://openalex.org/W2100586225","doi":"https://doi.org/10.1109/42.126906","title":"Improved iterative image reconstruction with automatic noise artifact suppression","display_name":"Improved iterative image reconstruction with automatic noise artifact suppression","publication_year":1992,"publication_date":"1992-03-01","ids":{"openalex":"https://openalex.org/W2100586225","doi":"https://doi.org/10.1109/42.126906","mag":"2100586225","pmid":"https://pubmed.ncbi.nlm.nih.gov/18218352"},"language":"en","primary_location":{"id":"doi:10.1109/42.126906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/42.126906","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/A5017958083","display_name":"Eiichi Tanaka","orcid":"https://orcid.org/0000-0003-2850-326X"},"institutions":[{"id":"https://openalex.org/I150993360","display_name":"Hamamatsu Photonics (Japan)","ror":"https://ror.org/03natb733","country_code":"JP","type":"company","lineage":["https://openalex.org/I150993360"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"E. Tanaka","raw_affiliation_strings":["Hamamatsu Photonics K.K., Tokyo","Hamamatsu Photonics K.K., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hamamatsu Photonics K.K., Tokyo","institution_ids":[]},{"raw_affiliation_string":"Hamamatsu Photonics K.K., Tokyo, Japan","institution_ids":["https://openalex.org/I150993360"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017958083"],"corresponding_institution_ids":["https://openalex.org/I150993360"],"apc_list":null,"apc_paid":null,"fwci":1.1486,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79196685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":"1","first_page":"21","last_page":"27"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9991000294685364,"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/T11993","display_name":"Atomic and Subatomic Physics Research","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.7616946697235107},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6305433511734009},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5813905596733093},{"id":"https://openalex.org/keywords/statistical-noise","display_name":"Statistical noise","score":0.5701466798782349},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5696572065353394},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5316346883773804},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.521468997001648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5200188159942627},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4990110397338867},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.49401527643203735},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.47372308373451233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4637295603752136},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45267343521118164},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4433184564113617},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3834225833415985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3760219216346741},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3662704825401306},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17740842700004578},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13221478462219238}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.7616946697235107},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6305433511734009},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5813905596733093},{"id":"https://openalex.org/C128197687","wikidata":"https://www.wikidata.org/wiki/Q5477515","display_name":"Statistical noise","level":2,"score":0.5701466798782349},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5696572065353394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5316346883773804},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.521468997001648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5200188159942627},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4990110397338867},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.49401527643203735},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.47372308373451233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4637295603752136},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45267343521118164},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4433184564113617},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3834225833415985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3760219216346741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3662704825401306},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17740842700004578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13221478462219238},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/42.126906","is_oa":false,"landing_page_url":"https://doi.org/10.1109/42.126906","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:18218352","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18218352","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}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5099999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1009547013","https://openalex.org/W1647554959","https://openalex.org/W1975198675","https://openalex.org/W1987649450","https://openalex.org/W1992065047","https://openalex.org/W1993474563","https://openalex.org/W2044656938","https://openalex.org/W2049032689","https://openalex.org/W2053189930","https://openalex.org/W2063896027","https://openalex.org/W2069629287","https://openalex.org/W2077661028","https://openalex.org/W2080405872","https://openalex.org/W2093283732","https://openalex.org/W2102293690","https://openalex.org/W2103634956","https://openalex.org/W2106533773","https://openalex.org/W6636952455"],"related_works":["https://openalex.org/W2107386309","https://openalex.org/W2545869789","https://openalex.org/W2141090006","https://openalex.org/W2058165188","https://openalex.org/W1964555484","https://openalex.org/W3048932468","https://openalex.org/W2757389719","https://openalex.org/W2100586225","https://openalex.org/W2068950173","https://openalex.org/W2105168883"],"abstract_inverted_index":{"A":[0,20],"method":[1,142],"for":[2,11,120],"stabilizing":[3],"iterative":[4,40,150],"image":[5,14,77,115],"reconstruction":[6],"techniques":[7],"has":[8],"been":[9],"developed":[10],"improving":[12],"the":[13,35,39,63,76,79,90,96,101,104,109,114,126,138,147,154,165],"quality":[15],"of":[16,38,51,55,62,78,113],"position":[17],"emission":[18],"tomography.":[19],"damping":[21],"matrix":[22],"is":[23,44,57,72,82,93],"introduced,":[24],"which":[25,56],"suppresses":[26],"noisy":[27],"correction":[28,52],"on":[29,34],"a":[30,48,60],"pixel-by-pixel":[31],"basis,":[32],"depending":[33],"statistical":[36,70],"precision":[37,43],"correction.":[41],"The":[42,141],"evaluated":[45],"by":[46,164],"comparing":[47],"certain":[49],"number":[50],"submatrices,":[53],"each":[54],"formed":[58],"from":[59],"subset":[61],"projection":[64],"data.":[65],"Simulation":[66],"studies":[67],"showed":[68],"that":[69],"noise":[71,98],"effectively":[73],"suppressed,":[74],"while":[75],"source":[80],"object":[81],"reconstructed":[83],"with":[84,132,137],"high":[85],"resolution,":[86],"as":[87,89,135],"long":[88],"signal":[91],"level":[92],"higher":[94],"than":[95,161],"local":[97],"level.":[99],"In":[100],"application":[102],"to":[103,118,146,158],"MLE":[105],"(maximum":[106],"likelihood":[107],"estimator),":[108],"minimum":[110],"RMS":[111,127],"error":[112,128],"was":[116,143],"reduced":[117],"84%":[119],"500":[121],"k":[122],"total":[123],"counts,":[124],"and":[125,153],"increased":[129],"more":[130],"slowly":[131],"further":[133],"iterations":[134],"compared":[136],"simple":[139],"MLE.":[140],"also":[144],"applied":[145],"FIR":[148],"(filtered":[149],"reconstruction)":[151],"algorithm,":[152],"images":[155],"were":[156],"found":[157],"be":[159],"better":[160],"those":[162],"obtained":[163],"convolution":[166],"backprojection":[167],"method.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
