{"id":"https://openalex.org/W3010973018","doi":"https://doi.org/10.1117/12.2548953","title":"Combined global and local information for blind CT image quality assessment via deep learning","display_name":"Combined global and local information for blind CT image quality assessment via deep learning","publication_year":2020,"publication_date":"2020-03-16","ids":{"openalex":"https://openalex.org/W3010973018","doi":"https://doi.org/10.1117/12.2548953","mag":"3010973018"},"language":"en","primary_location":{"id":"doi:10.1117/12.2548953","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment","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/A5036554043","display_name":"Qi Gao","orcid":"https://orcid.org/0000-0002-2532-0997"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Gao","raw_affiliation_strings":["Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","institution_ids":[]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103176305","display_name":"Sui Li","orcid":"https://orcid.org/0009-0004-4198-1922"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sui Li","raw_affiliation_strings":["Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","institution_ids":[]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102964315","display_name":"Manman Zhu","orcid":"https://orcid.org/0009-0008-2675-1968"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manman Zhu","raw_affiliation_strings":["Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","institution_ids":[]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453907","display_name":"Danyang Li","orcid":"https://orcid.org/0000-0002-6361-4283"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyang Li","raw_affiliation_strings":["Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","institution_ids":[]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024645254","display_name":"Zhaoying Bian","orcid":"https://orcid.org/0000-0002-6433-5067"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoying Bian","raw_affiliation_strings":["Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","institution_ids":[]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100841612","display_name":"Qingwen Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]},{"id":"https://openalex.org/I4210120929","display_name":"Zhujiang Hospital","ror":"https://ror.org/02mhxa927","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210120929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingwen Lv","raw_affiliation_strings":["Zhujiang Hospital, Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Zhujiang Hospital, Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I4210120929","https://openalex.org/I58200834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100613149","display_name":"Dong Zeng","orcid":"https://orcid.org/0000-0001-6015-5010"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zeng","raw_affiliation_strings":["South China Univ. of Technology (China)"],"affiliations":[{"raw_affiliation_string":"South China Univ. of Technology (China)","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006049117","display_name":"Jianhua Ma","orcid":"https://orcid.org/0000-0003-2958-1710"},"institutions":[{"id":"https://openalex.org/I58200834","display_name":"Southern Medical University","ror":"https://ror.org/01vjw4z39","country_code":"CN","type":"education","lineage":["https://openalex.org/I58200834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Ma","raw_affiliation_strings":["Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","Southern Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Key Lab. of Medical Radiation Imaging and Detection Technology (China)","institution_ids":[]},{"raw_affiliation_string":"Southern Medical Univ. (China)","institution_ids":["https://openalex.org/I58200834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5036554043"],"corresponding_institution_ids":["https://openalex.org/I58200834"],"apc_list":null,"apc_paid":null,"fwci":0.3433,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.53321727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"39"},"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":0.9979000091552734,"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":0.9979000091552734,"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":0.9865000247955322,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/image-quality","display_name":"Image quality","score":0.7662581205368042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7418375015258789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.733799934387207},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6018266677856445},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5371788740158081},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49715498089790344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49553120136260986},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4940405488014221},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46303877234458923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43918800354003906},{"id":"https://openalex.org/keywords/quality-score","display_name":"Quality Score","score":0.4183313846588135},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4037293791770935}],"concepts":[{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.7662581205368042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7418375015258789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.733799934387207},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6018266677856445},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5371788740158081},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49715498089790344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49553120136260986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4940405488014221},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46303877234458923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43918800354003906},{"id":"https://openalex.org/C2779346075","wikidata":"https://www.wikidata.org/wiki/Q7268763","display_name":"Quality Score","level":3,"score":0.4183313846588135},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4037293791770935},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2548953","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2548953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2020: Image Perception, Observer Performance, and Technology Assessment","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3194862240","https://openalex.org/W4206325381","https://openalex.org/W2295706819","https://openalex.org/W2161907179"],"abstract_inverted_index":{"Image":[0,155],"quality":[1,110,130,166,181,209],"assessment":[2,223],"(IQA)":[3],"is":[4,91,122,159,182,218],"an":[5,119],"important":[6],"step":[7],"to":[8,68,106,124,135,161,220],"determine":[9],"whether":[10],"the":[11,21,88,97,127,138,150,163,168,173,178,186,200,211,221],"computed":[12],"tomography":[13],"(CT)":[14],"images":[15,25,45,146],"are":[16,26],"suitable":[17],"for":[18,43,83,131],"diagnosis.":[19],"Since":[20],"high":[22],"dose":[23],"CT":[24,35,44,84,145,207],"usually":[27],"not":[28],"accessible":[29],"in":[30,142,149],"clinical":[31],"practice,":[32],"no-reference":[33],"(NR)":[34],"IQA":[36,190,217],"should":[37],"be":[38],"used.":[39],"Most":[40],"NR-IQA":[41,76,89],"methods":[42],"based":[46],"on":[47,52],"deep":[48],"learning":[49],"strategy":[50,121],"focus":[51],"global":[53,79,187,214],"information":[54,82],"and":[55,80,188,210,215],"ignores":[56],"local":[57,63,81,164,174,189,216],"performance,":[58],"i.e.,":[59],"contrast,":[60],"edge":[61],"of":[62,140,213],"region.":[64],"In":[65,95,116],"this":[66,70,117],"work,":[67],"address":[69],"issue,":[71],"we":[72],"presented":[73,98,151,201],"a":[74,102,113],"new":[75],"framework":[77,90],"combining":[78,185],"images.":[85],"For":[86],"simplicity,":[87],"termed":[92],"as":[93],"NR-GL-IQA.":[94],"particular,":[96],"NR-":[99],"GL-IQA":[100],"adopts":[101],"convolutional":[103],"neural":[104,132],"network":[105,133],"predict":[107,162],"entire":[108,128],"image":[109,129,180,208],"blindly":[111],"without":[112],"reference":[114],"image.":[115],"stage,":[118],"elaborate":[120],"used":[123,160],"automatically":[125],"label":[126],"training":[134],"cope":[136],"with":[137,195,226],"problem":[139],"time-consuming":[141],"manually":[143],"massive":[144],"annotation.":[147],"Second,":[148],"NR-GL-IQA":[152,202],"method,":[153],"Perception-based":[154],"QUality":[156],"Evaluator":[157],"(PIQUE)":[158],"region":[165,175],"because":[167],"PIQUE":[169],"can":[170,204],"adaptively":[171],"capture":[172],"characteristics.":[176],"Finally,":[177],"overall":[179],"estimated":[183],"by":[184],"together.":[191],"The":[192],"experimental":[193],"results":[194],"Mayo":[196],"dataset":[197],"demonstrate":[198],"that":[199,225],"method":[203],"accurately":[205],"predicts":[206],"combination":[212],"closer":[219],"radiologist":[222],"than":[224],"only":[227],"one":[228],"single":[229],"assessment.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
