{"id":"https://openalex.org/W2964104793","doi":"https://doi.org/10.1142/s0219467819500177","title":"Low-Dose CT Image Restoration Based on Adaptive <i>Prior</i> Feature Matching and Nonlocal Means","display_name":"Low-Dose CT Image Restoration Based on Adaptive <i>Prior</i> Feature Matching and Nonlocal Means","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2964104793","doi":"https://doi.org/10.1142/s0219467819500177","mag":"2964104793"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467819500177","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467819500177","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5024288211","display_name":"Cheng Lu","orcid":"https://orcid.org/0000-0002-7651-3924"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Cheng","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103179870","display_name":"Yuanke Zhang","orcid":"https://orcid.org/0000-0001-8091-0271"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]},{"id":"https://openalex.org/I9916479","display_name":"Air Force Medical University","ror":"https://ror.org/00ms48f15","country_code":"CN","type":"education","lineage":["https://openalex.org/I9916479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan-Ke Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Fourth Military Medical University, Xi\u2019an 710032, P. R. China","School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Fourth Military Medical University, Xi\u2019an 710032, P. R. China","institution_ids":["https://openalex.org/I9916479"]},{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050837693","display_name":"Yun S. Song","orcid":"https://orcid.org/0000-0002-0734-9868"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Song","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369916","display_name":"Chen Li","orcid":"https://orcid.org/0000-0003-1545-8885"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070820479","display_name":"Dao-Shun Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dao-Shun Guo","raw_affiliation_strings":["School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Qufu Normal University, Rizhao 276800, P. R. China","institution_ids":["https://openalex.org/I202126657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3408,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63351588,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"03","first_page":"1950017","last_page":"1950017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987999796867371,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996999979019165,"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":0.7146217823028564},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6235004663467407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5949321389198303},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5757802128791809},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5647225975990295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.502446174621582},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4801070988178253},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4445459246635437},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4305155873298645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34800219535827637},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2696879804134369},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08042895793914795}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7146217823028564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6235004663467407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5949321389198303},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5757802128791809},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5647225975990295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.502446174621582},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4801070988178253},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4445459246635437},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4305155873298645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34800219535827637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2696879804134369},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08042895793914795},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467819500177","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467819500177","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5699999928474426,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1987655387","https://openalex.org/W2027982801","https://openalex.org/W2037511378","https://openalex.org/W2044465660","https://openalex.org/W2054218460","https://openalex.org/W2070369771","https://openalex.org/W2094438952","https://openalex.org/W2102104181","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2143071121","https://openalex.org/W2167756354","https://openalex.org/W2324681516","https://openalex.org/W2552453838","https://openalex.org/W2592701528","https://openalex.org/W2746168118","https://openalex.org/W2755989196","https://openalex.org/W3106461934","https://openalex.org/W4230764897"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2794488505","https://openalex.org/W3147584709","https://openalex.org/W4301594054","https://openalex.org/W3125889879","https://openalex.org/W2977677679","https://openalex.org/W3124422538","https://openalex.org/W2295467472","https://openalex.org/W3046451053","https://openalex.org/W1992327129"],"abstract_inverted_index":{"Although":[0],"the":[1,8,19,49,60,89,110,114,120,154,162,165,168,174,184],"low-dose":[2],"CT":[3,44],"(LDCT)":[4],"technique":[5],"can":[6],"reduce":[7],"radiation":[9],"damage":[10],"to":[11,18,47,151],"patients,":[12],"it":[13],"will":[14],"be":[15],"highly":[16],"detrimental":[17],"reconstructed":[20],"image":[21,35],"quality.":[22],"The":[23,53,92,171],"normal-dose":[24,43],"scan":[25],"assisted":[26],"algorithms":[27],"have":[28],"shown":[29],"their":[30,70,146],"potential":[31],"in":[32,95,131,191],"improving":[33],"LDCT":[34,51,90],"quality":[36],"by":[37,119,179],"using":[38],"a":[39,63],"registered":[40],"previously":[41],"scanned":[42],"(NDCT)":[45],"reference":[46],"regularize":[48],"corresponding":[50],"target.":[52],"major":[54],"drawback":[55],"of":[56,62,88,97,128,135,153,173,193],"such":[57],"methods":[58,188],"is":[59,177,189],"requirement":[61],"previous":[64],"patient-specific":[65],"NDCT":[66,133],"scan,":[67],"which":[68],"limits":[69],"clinical":[71,180],"application.":[72],"To":[73],"address":[74],"these":[75],"problems,":[76],"this":[77],"paper":[78],"proposed":[79,175],"adaptive":[80,104,140],"prior":[81,105,115,141],"feature":[82,100,106,142],"matching":[83,107],"method":[84],"for":[85,167],"better":[86],"restoration":[87],"image.":[91],"innovation":[93],"lies":[94],"construction":[96],"offline":[98],"texture":[99,147],"database":[101,163],"and":[102,197],"online":[103,139],"integrated":[108],"with":[109,145],"NLM":[111,169],"regularization.":[112,170],"Specifically,":[113],"features":[116,148],"were":[117],"extracted":[118],"gray":[121],"level":[122],"co-occurrence":[123],"matrix":[124],"(GLCM)":[125],"from":[126,161],"regions":[127],"interest":[129],"(ROIs)":[130],"existing":[132],"scans":[134],"population":[136],"patients.":[137],"For":[138],"matching,":[143],"ROIs":[144],"being":[149],"similar":[150],"those":[152],"current":[155],"noisy":[156],"target":[157],"ROI":[158],"are":[159],"selected":[160],"as":[164],"references":[166],"effectiveness":[172],"algorithm":[176],"validated":[178],"lung":[181],"cancer":[182],"studies,":[183],"gain":[185],"over":[186],"traditional":[187],"noticeable":[190],"terms":[192],"both":[194],"noise":[195],"suppression":[196],"textures":[198],"preservation.":[199]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}