{"id":"https://openalex.org/W2997491264","doi":"https://doi.org/10.1145/3364836.3364849","title":"Non-reference Evaluation of Hyperspectral X-CT Images Based on CdTe Photon Counting Detector","display_name":"Non-reference Evaluation of Hyperspectral X-CT Images Based on CdTe Photon Counting Detector","publication_year":2019,"publication_date":"2019-08-24","ids":{"openalex":"https://openalex.org/W2997491264","doi":"https://doi.org/10.1145/3364836.3364849","mag":"2997491264"},"language":"en","primary_location":{"id":"doi:10.1145/3364836.3364849","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","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":null,"display_name":"Zheng Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Fang","raw_affiliation_strings":["Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101505065","display_name":"Shuo Zhong","orcid":"https://orcid.org/0000-0002-4691-7522"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhong","raw_affiliation_strings":["Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003051937","display_name":"Renbin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renbin Wang","raw_affiliation_strings":["Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113944149","display_name":"Liquan Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liquan Ding","raw_affiliation_strings":["Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100429224","display_name":"Siyuan Chen","orcid":"https://orcid.org/0009-0003-5852-5758"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Chen","raw_affiliation_strings":["Xiamen University, China"],"affiliations":[{"raw_affiliation_string":"Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.1714,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5908732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"63"},"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":0.9998999834060669,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6572995781898499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.631440281867981},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203482747077942},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6045122146606445},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.534062922000885},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5137718915939331},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48777610063552856},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.46326687932014465},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4619344472885132},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4189297556877136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3976452946662903},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20161834359169006}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6572995781898499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631440281867981},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203482747077942},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6045122146606445},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.534062922000885},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5137718915939331},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48777610063552856},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.46326687932014465},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4619344472885132},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4189297556877136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3976452946662903},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20161834359169006},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3364836.3364849","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3364836.3364849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third International Symposium on Image Computing and Digital Medicine","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1514015969","https://openalex.org/W1574971735","https://openalex.org/W1972150100","https://openalex.org/W2132788025","https://openalex.org/W2363513363","https://openalex.org/W2378112244","https://openalex.org/W2460795006","https://openalex.org/W4253961432"],"related_works":["https://openalex.org/W2757389719","https://openalex.org/W2951714568","https://openalex.org/W1963814553","https://openalex.org/W2037595954","https://openalex.org/W1988158806","https://openalex.org/W2507293823","https://openalex.org/W2386146599","https://openalex.org/W2018015402","https://openalex.org/W2144778520","https://openalex.org/W2801815023"],"abstract_inverted_index":{"With":[0],"the":[1,9,18,22,29,33,47,64,117,138,151,156,167,172],"wide":[2],"application":[3],"of":[4,21,35,49,58,66,120,140,171],"CT":[5,12,36,67,71],"imaging":[6],"technology":[7],"in":[8,128,137],"medical":[10],"field,":[11],"reconstruction":[13,37,68,72,153,158],"images":[14,38],"can":[15,164],"visually":[16],"show":[17,135],"internal":[19],"structure":[20],"testing":[23],"object.":[24],"Different":[25],"from":[26],"natural":[27],"images,":[28,52],"main":[30],"reasons":[31],"affecting":[32],"quality":[34,65,131],"are":[39,98,125],"noise":[40,121,170],"and":[41,83,87,116,122,155,160,169],"artifacts.":[42],"In":[43],"addition,":[44],"due":[45],"to":[46],"lack":[48,57],"original":[50],"reference":[51],"there":[53],"is":[54],"currently":[55],"a":[56,59],"general":[60],"standard":[61],"for":[62,144],"evaluating":[63],"images.":[69],"The":[70,95,133],"algorithms":[73],"include":[74],"filtering":[75],"back-projection":[76],"method":[77,80],"(FBP),":[78],"iterative":[79,84],"ART,":[81],"SART,":[82],"algorithm":[85,114,149],"ARTTV":[86],"SARTTV":[88],"with":[89],"total":[90],"variation":[91],"(TV)":[92],"minimization":[93,162],"optimization.":[94],"evaluation":[96,119],"indexes":[97],"Tenengrad":[99],"gradient":[100,107],"function,":[101,105,108],"gray":[102],"variance":[103],"(SMD)":[104],"energy":[106],"point":[109],"sharpness":[110],"arithmetic":[111],"function":[112,115],"(EVA)":[113],"combined":[118],"blur":[123,168],"which":[124],"generally":[126],"used":[127],"no-reference":[129],"perceptual":[130],"assessment.":[132],"results":[134],"that":[136],"case":[139],"complete":[141],"projection":[142],"data,":[143],"CdTe":[145],"hyperspectral":[146],"CT,":[147],"FBP":[148],"has":[150],"shortest":[152],"time":[154],"best":[157],"effect,":[159],"TV":[161],"optimization":[163],"indeed":[165],"reduce":[166],"image.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}