{"id":"https://openalex.org/W4405488258","doi":"https://doi.org/10.1109/tip.2024.3515878","title":"Real-World Low-Dose CT Image Denoising by Patch Similarity Purification","display_name":"Real-World Low-Dose CT Image Denoising by Patch Similarity Purification","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4405488258","doi":"https://doi.org/10.1109/tip.2024.3515878","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030715"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3515878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3515878","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5036278378","display_name":"Zeya Song","orcid":"https://orcid.org/0009-0003-2170-4138"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeya Song","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0003-2170-4138","affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101294146","display_name":"Liqi Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqi Xue","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042967567","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-1602-538X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1602-538X","affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Baoping Zhang","orcid":"https://orcid.org/0000-0002-4934-8492"},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoping Zhang","raw_affiliation_strings":["Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0002-4934-8492","affiliations":[{"raw_affiliation_string":"Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I4210121771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021750619","display_name":"Chao Jin","orcid":"https://orcid.org/0000-0002-5761-341X"},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Jin","raw_affiliation_strings":["Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I4210121771"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016046068","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4250-1391"},"institutions":[{"id":"https://openalex.org/I4210121771","display_name":"First Affiliated Hospital of Xi'an Jiaotong University","ror":"https://ror.org/02tbvhh96","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210121771"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I4210121771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007454142","display_name":"Changliang Zou","orcid":"https://orcid.org/0000-0003-2943-7612"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changliang Zou","raw_affiliation_strings":["School of Statistics and Data Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2943-7612","affiliations":[{"raw_affiliation_string":"School of Statistics and Data Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6938,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8539955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"34","issue":null,"first_page":"196","last_page":"208"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980000257492065,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9965999722480774,"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":0.6277430653572083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6233347654342651},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.61580491065979},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5344024896621704},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5238873362541199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5211270451545715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5125160217285156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46695858240127563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4591587781906128},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4355568289756775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3795090913772583}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6277430653572083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6233347654342651},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.61580491065979},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5344024896621704},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5238873362541199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5211270451545715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5125160217285156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46695858240127563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4591587781906128},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4355568289756775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3795090913772583}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3515878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3515878","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40030715","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030715","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G4252847791","display_name":null,"funder_award_id":"11925106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7136259097","display_name":null,"funder_award_id":"12226007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8065005635","display_name":null,"funder_award_id":"62176068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1999051088","https://openalex.org/W2003252564","https://openalex.org/W2023491148","https://openalex.org/W2056370875","https://openalex.org/W2085502158","https://openalex.org/W2097073572","https://openalex.org/W2099305408","https://openalex.org/W2126926806","https://openalex.org/W2133665775","https://openalex.org/W2136172319","https://openalex.org/W2145039434","https://openalex.org/W2159766906","https://openalex.org/W2171697262","https://openalex.org/W2508457857","https://openalex.org/W2542870090","https://openalex.org/W2570202822","https://openalex.org/W2584483805","https://openalex.org/W2617128058","https://openalex.org/W2743780012","https://openalex.org/W2748739903","https://openalex.org/W2762996341","https://openalex.org/W2790477006","https://openalex.org/W2791953121","https://openalex.org/W2795777276","https://openalex.org/W2820727372","https://openalex.org/W2887746098","https://openalex.org/W2902857081","https://openalex.org/W2914498953","https://openalex.org/W2950650271","https://openalex.org/W2950689937","https://openalex.org/W2953231542","https://openalex.org/W2962793481","https://openalex.org/W2992095291","https://openalex.org/W2997053073","https://openalex.org/W3014337038","https://openalex.org/W3016950572","https://openalex.org/W3080821159","https://openalex.org/W3096831136","https://openalex.org/W3098337560","https://openalex.org/W3099334623","https://openalex.org/W3100000627","https://openalex.org/W3100866725","https://openalex.org/W3101406715","https://openalex.org/W3133531783","https://openalex.org/W3169967744","https://openalex.org/W3201659865","https://openalex.org/W3203382879","https://openalex.org/W3203971980","https://openalex.org/W3213236098","https://openalex.org/W4211221110","https://openalex.org/W4221165315","https://openalex.org/W4292101282","https://openalex.org/W4306247150","https://openalex.org/W4307228491","https://openalex.org/W4312773500","https://openalex.org/W4312938066","https://openalex.org/W4322622372","https://openalex.org/W4360930456","https://openalex.org/W4367056946","https://openalex.org/W4382537067","https://openalex.org/W4385245566","https://openalex.org/W4387164668","https://openalex.org/W4388523332","https://openalex.org/W4389610680","https://openalex.org/W4390707065","https://openalex.org/W4391818248","https://openalex.org/W4403069616","https://openalex.org/W6726497184","https://openalex.org/W6746052068","https://openalex.org/W6749271710","https://openalex.org/W6759001153","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402","https://openalex.org/W4312627788","https://openalex.org/W2353444452"],"abstract_inverted_index":{"Reducing":[0],"the":[1,11,14,26,49,55,84,91,99,110,162,186,238,246,250],"radiation":[2],"dose":[3],"in":[4,17,94,109,127],"CT":[5,28,33],"scanning":[6],"is":[7,23,87,201],"important":[8],"to":[9,13,24,48,139],"alleviate":[10],"damage":[12],"human":[15],"health":[16],"clinical":[18],"scenes.":[19],"A":[20],"promising":[21],"way":[22],"replace":[25],"normal-dose":[27],"(NDCT)":[29],"imaging":[30,35],"by":[31,181],"low-dose":[32],"(LDCT)":[34],"with":[36,68,79,232],"lower":[37],"tube":[38,41],"voltage":[39],"and":[40,75,119,165,185,217,227,249,263],"current.":[42],"This":[43],"often":[44],"brings":[45,103],"severe":[46],"noise":[47,86,93],"LDCT":[50,61,70,74,96,112,118,124,164,226,254],"images,":[51,97],"which":[52],"adversely":[53],"affects":[54],"diagnosis":[56],"accuracy.":[57],"Most":[58],"of":[59,106,157,172,214,222,224,240,252],"existing":[60],"image":[62,77,121,125,158,167,229,255],"denoising":[63,256],"networks":[64,257],"are":[65,265],"trained":[66],"either":[67],"synthetic":[69,85],"images":[71],"or":[72],"real-world":[73,95,117,225],"NDCT":[76,120,166,228],"pairs":[78,122,231],"huge":[80,100],"spatial":[81,101],"misalignment.":[82,234],"However,":[83],"very":[88],"different":[89],"from":[90,161],"complex":[92],"while":[98],"misalignment":[102],"inaccurate":[104],"predictions":[105],"tissue":[107],"structures":[108],"denoised":[111],"images.":[113],"To":[114],"well":[115],"utilize":[116],"for":[123,144,154],"denoising,":[126],"this":[128],"paper,":[129],"we":[130],"introduce":[131],"a":[132,193,204],"new":[133],"Patch":[134],"Similarity":[135],"Purification":[136],"(PSP)":[137],"strategy":[138,150,243],"construct":[140],"high-quality":[141],"training":[142,194,212,247,253],"dataset":[143,264],"network":[145],"training.":[146],"Specifically,":[147],"our":[148,208,215,241,259],"PSP":[149,209,242],"first":[151],"perform":[152],"binarization":[153],"each":[155,170,211],"pair":[156,171,188],"patches":[159],"cropped":[160],"corresponding":[163],"pairs.":[168],"For":[169],"binary":[173],"masks,":[174],"it":[175],"then":[176],"computes":[177],"their":[178,197],"similarity":[179,199],"ratio":[180,200],"common":[182],"mask":[183,198],"calculation,":[184],"patch":[187,230],"can":[189],"be":[190],"selected":[191],"as":[192],"sample":[195],"if":[196],"higher":[202],"than":[203],"threshold.":[205],"By":[206],"using":[207],"strategy,":[210],"set":[213],"Rabbit":[216],"Patient":[218],"datasets":[219],"contain":[220],"hundreds":[221],"thousands":[223],"negligible":[233],"Extensive":[235],"experiments":[236],"demonstrate":[237],"usefulness":[239],"on":[244,258],"purifying":[245],"data":[248],"effectiveness":[251],"datasets.":[260],"The":[261],"code":[262],"provided":[266],"at":[267],"https://github.com/TuTusong/PSP.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}