{"id":"https://openalex.org/W2793620878","doi":"https://doi.org/10.1117/12.2294051","title":"Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT database","display_name":"Low dose CT reconstruction with nonlocal means-based prior predicted from normal-dose CT database","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2793620878","doi":"https://doi.org/10.1117/12.2294051","mag":"2793620878"},"language":"en","primary_location":{"id":"doi:10.1117/12.2294051","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2294051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-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/A5007087028","display_name":"Junyan Rong","orcid":"https://orcid.org/0000-0003-4525-3901"},"institutions":[{"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":true,"raw_author_name":"Junyan Rong","raw_affiliation_strings":["Fourth Military Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Fourth Military Medical Univ. (China)","institution_ids":["https://openalex.org/I9916479"]}]},{"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/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":"Yuanke Zhang","raw_affiliation_strings":["Fourth Military Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Fourth Military Medical Univ. (China)","institution_ids":["https://openalex.org/I9916479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tianshuai Liu","orcid":null},"institutions":[{"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":"Tianshuai Liu","raw_affiliation_strings":["Fourth Military Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Fourth Military Medical Univ. (China)","institution_ids":["https://openalex.org/I9916479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051836631","display_name":"Peng Gao","orcid":"https://orcid.org/0000-0003-3253-6996"},"institutions":[{"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":"Peng Gao","raw_affiliation_strings":["Fourth Military Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Fourth Military Medical Univ. (China)","institution_ids":["https://openalex.org/I9916479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091410552","display_name":"Yuxiang Xing","orcid":"https://orcid.org/0000-0001-9723-5655"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Xing","raw_affiliation_strings":["Tsinghua Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Tsinghua Univ. (China)","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110322946","display_name":"Zhengrong Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengrong Liang","raw_affiliation_strings":["The State Univ. of New York at Stony Brook (United States)"],"affiliations":[{"raw_affiliation_string":"The State Univ. of New York at Stony Brook (United States)","institution_ids":["https://openalex.org/I59553526","https://openalex.org/I1327163397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034743810","display_name":"Hongbing Lu","orcid":"https://orcid.org/0000-0003-4181-7239"},"institutions":[{"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":"Hongbing Lu","raw_affiliation_strings":["Fourth Military Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Fourth Military Medical Univ. (China)","institution_ids":["https://openalex.org/I9916479"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5007087028"],"corresponding_institution_ids":["https://openalex.org/I9916479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02673033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9997000098228455,"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9997000098228455,"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/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/T10844","display_name":"Radiation Dose and Imaging","score":0.9990000128746033,"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/smoothness","display_name":"Smoothness","score":0.6287878751754761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5790182948112488},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5688464641571045},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5501145720481873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5202411413192749},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5053473114967346},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.46502068638801575},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.43855154514312744},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40301400423049927},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3942091763019562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3891361355781555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34065544605255127}],"concepts":[{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.6287878751754761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5790182948112488},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5688464641571045},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5501145720481873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5202411413192749},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5053473114967346},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.46502068638801575},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.43855154514312744},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40301400423049927},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3942091763019562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3891361355781555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34065544605255127},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2294051","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2294051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2020806380","https://openalex.org/W2023910643","https://openalex.org/W2037511378","https://openalex.org/W2049856752","https://openalex.org/W2072652205","https://openalex.org/W4296142362"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1988158806","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W1995070803","https://openalex.org/W2801815023"],"abstract_inverted_index":{"The":[0,112,142],"penalized":[1],"weighted":[2],"least-squares":[3],"(PWLS)":[4],"image":[5,24,58],"reconstruction":[6,180],"with":[7,62,133,181],"the":[8,18,23,32,39,44,71,86,101,107,149,156,164,170,189],"widely":[9],"used":[10,69],"edge-preserving":[11],"nonlocal":[12,33,131],"means":[13],"(NLM)":[14],"penalty":[15],"has":[16,48,184],"shown":[17,185],"potential":[19,187],"to":[20,51,74,115],"significantly":[21],"improve":[22,52],"quality":[25,57],"for":[26,38,70,177],"low":[27],"dose":[28,61,166],"CT":[29,125],"(LDCT).":[30],"Considering":[31],"weights":[34,132],"have":[35],"significant":[36],"effects":[37],"smoothness":[40],"and":[41,65,88,100,155],"resolution":[42],"of":[43,59,103,159],"reconstruction,":[45],"much":[46],"effort":[47],"been":[49],"made":[50],"their":[53],"accuracy.":[54],"A":[55],"high":[56],"normal":[60,165],"less":[63],"noise":[64],"artifacts":[66],"is":[67,174],"sometimes":[68],"weight\u2019s":[72],"calculation":[73],"further":[75],"improvement.":[76],"However,":[77],"registration":[78,104],"should":[79],"be":[80,92],"employed":[81],"first":[82],"when":[83],"misalignment":[84],"between":[85,151],"low-dose":[87],"normal-dose":[89,124],"scans":[90],"cannot":[91],"ignored.":[93],"It":[94],"will":[95],"bring":[96],"an":[97],"extra":[98],"work":[99],"effect":[102],"error":[105],"on":[106,123],"proposed":[108],"method":[109],"are":[110,145],"uncertain.":[111],"paper":[113],"aims":[114],"propose":[116],"a":[117],"new":[118],"NLM":[119,168],"prior":[120],"model":[121],"based":[122,167],"(NDCT)":[126],"without":[127],"registration,":[128],"by":[129,147],"predicting":[130],"selecting":[134],"most":[135],"similar":[136],"patch":[137,143,158],"samples":[138,144],"from":[139,153],"FDCT":[140],"database.":[141],"determined":[146],"evaluating":[148],"similarity":[150],"patches":[152],"NDCT":[154],"target":[157],"LDCT.":[160],"After":[161],"building":[162],"up":[163],"penalty,":[169],"PWLS":[171],"object":[172],"function":[173],"iteratively":[175],"minimized":[176],"reconstruction.":[178],"Preliminary":[179],"LDCT":[182],"data":[183],"its":[186],"in":[188],"structure":[190],"detail":[191],"preservation.":[192]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
