{"id":"https://openalex.org/W4391550272","doi":"https://doi.org/10.1145/3635118.3635128","title":"Quantitative Analysis of Artificial Validation Sets for Fourier Domain CT Reconstruction","display_name":"Quantitative Analysis of Artificial Validation Sets for Fourier Domain CT Reconstruction","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4391550272","doi":"https://doi.org/10.1145/3635118.3635128"},"language":"en","primary_location":{"id":"doi:10.1145/3635118.3635128","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635118.3635128","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635118.3635128","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Advances in Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3635118.3635128","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015597463","display_name":"Z. Domokos","orcid":"https://orcid.org/0000-0001-6131-4300"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zoltan Domokos","raw_affiliation_strings":["Department of Image Processing and Computer Graphics, University of Szeged, Hungary"],"raw_orcid":"https://orcid.org/0000-0001-6131-4300","affiliations":[{"raw_affiliation_string":"Department of Image Processing and Computer Graphics, University of Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082443522","display_name":"L\u00e1szl\u00f3 Varga","orcid":"https://orcid.org/0000-0003-2924-5573"},"institutions":[{"id":"https://openalex.org/I227486990","display_name":"University of Szeged","ror":"https://ror.org/01pnej532","country_code":"HU","type":"education","lineage":["https://openalex.org/I227486990"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Laszlo G. Varga","raw_affiliation_strings":["Department of Image Processing and Computer Graphics, University of Szeged, Hungary"],"raw_orcid":"https://orcid.org/0000-0003-2924-5573","affiliations":[{"raw_affiliation_string":"Department of Image Processing and Computer Graphics, University of Szeged, Hungary","institution_ids":["https://openalex.org/I227486990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I227486990"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47594484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.5992492437362671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4931883215904236},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4761010408401489},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45962607860565186},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.4576278328895569},{"id":"https://openalex.org/keywords/domain-analysis","display_name":"Domain analysis","score":0.4213279187679291},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3587605953216553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23876509070396423},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.11869567632675171},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07608747482299805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5992492437362671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4931883215904236},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4761010408401489},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45962607860565186},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.4576278328895569},{"id":"https://openalex.org/C15708719","wikidata":"https://www.wikidata.org/wiki/Q2271801","display_name":"Domain analysis","level":5,"score":0.4213279187679291},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3587605953216553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23876509070396423},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.11869567632675171},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07608747482299805},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C186846655","wikidata":"https://www.wikidata.org/wiki/Q3398377","display_name":"Software construction","level":4,"score":0.0},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635118.3635128","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635118.3635128","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635118.3635128","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3635118.3635128","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635118.3635128","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635118.3635128","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Advances in Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2953162778","display_name":null,"funder_award_id":"TKP2021-NVA","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G298428782","display_name":null,"funder_award_id":"TKP2021","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"},{"id":"https://openalex.org/G4614621299","display_name":null,"funder_award_id":"TKP2021-NVA-09","funder_id":"https://openalex.org/F4320335908","funder_display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap"}],"funders":[{"id":"https://openalex.org/F4320335908","display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391550272.pdf","grobid_xml":"https://content.openalex.org/works/W4391550272.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1971571088","https://openalex.org/W1972312752","https://openalex.org/W1997593864","https://openalex.org/W1998114896","https://openalex.org/W2005640000","https://openalex.org/W2028132881","https://openalex.org/W2065628492","https://openalex.org/W2065757828","https://openalex.org/W2106070965","https://openalex.org/W2113524221","https://openalex.org/W2128689973","https://openalex.org/W2153272579","https://openalex.org/W2162870748","https://openalex.org/W2300276172","https://openalex.org/W2326487243","https://openalex.org/W2955362652","https://openalex.org/W3196786996","https://openalex.org/W3200209111","https://openalex.org/W4387211406"],"related_works":["https://openalex.org/W2102997561","https://openalex.org/W2471044971","https://openalex.org/W2023019272","https://openalex.org/W2354476589","https://openalex.org/W4246180183","https://openalex.org/W2170664339","https://openalex.org/W1984031140","https://openalex.org/W2497282986","https://openalex.org/W2126137741","https://openalex.org/W2034082304"],"abstract_inverted_index":{"In":[0],"computed":[1,48],"tomography":[2],"and":[3,83,119],"several":[4],"related":[5],"scientific":[6],"domains,":[7],"the":[8,19,31,47,67,92,95,99,131],"Fourier":[9,54,88],"slice":[10],"theorem":[11,26],"is":[12,27,43,78,94],"a":[13,34,52,79,121],"powerful":[14],"mathematical":[15],"tool":[16],"to":[17,112],"solve":[18],"problem":[20],"of":[21,38,76,81,98,117,123,134],"image":[22],"reconstruction.":[23],"Although":[24],"this":[25],"well":[28],"understood":[29],"in":[30,46,66,130],"continuous":[32],"case,":[33],"detailed":[35],"quantitative":[36],"analysis":[37,133],"artifacts":[39,70],"caused":[40],"by":[41,62,86],"discretization":[42],"rarely":[44],"found":[45],"tomographic":[49],"literature.":[50],"Assuming":[51],"practical":[53],"Domain":[55],"Reconstruction":[56],"(FDR)":[57],"algorithm,":[58],"which":[59],"performs":[60,104],"resampling":[61],"interpolation":[63],"or":[64],"approximation":[65],"frequency":[68],"domain,":[69],"have":[71],"two":[72],"main":[73],"sources.":[74],"One":[75],"these":[77],"combination":[80],"truncation":[82],"aliasing,":[84],"introduced":[85],"Discrete":[87],"Transform":[89],"(DFT),":[90],"while":[91],"other":[93],"numerical":[96,132],"error":[97,118],"function":[100],"estimation":[101],"algorithm":[102],"that":[103,126],"resampling.":[105],"Here,":[106],"we":[107],"provide":[108],"an":[109],"algebraic":[110],"method":[111],"quantitatively":[113],"isolate":[114],"distinct":[115],"sources":[116],"construct":[120],"set":[122],"novel":[124],"metrics":[125],"can":[127],"be":[128],"used":[129],"reconstruction":[135],"methods.":[136]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
