{"id":"https://openalex.org/W3041694018","doi":"https://doi.org/10.1109/icip40778.2020.9191044","title":"Accelerated FBP for Computed Tomography Image Reconstruction","display_name":"Accelerated FBP for Computed Tomography Image Reconstruction","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3041694018","doi":"https://doi.org/10.1109/icip40778.2020.9191044","mag":"3041694018"},"language":"en","primary_location":{"id":"doi:10.1109/icip40778.2020.9191044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2007.06289","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022036686","display_name":"A. V. Dolmat\u00f3va","orcid":"https://orcid.org/0000-0002-0845-2971"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anastasiya Dolmatova","raw_affiliation_strings":["IITP RAS (Kharkevich Institute), Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IITP RAS (Kharkevich Institute), Moscow, Russia","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054182432","display_name":"Marina Chukalina","orcid":"https://orcid.org/0000-0002-1410-5175"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Marina Chukalina","raw_affiliation_strings":["IITP RAS (Kharkevich Institute), Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IITP RAS (Kharkevich Institute), Moscow, Russia","institution_ids":["https://openalex.org/I4210107660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066631478","display_name":"Dmitry Nikolaev","orcid":"https://orcid.org/0000-0001-5560-7668"},"institutions":[{"id":"https://openalex.org/I4210107660","display_name":"Institute for Information Transmission Problems","ror":"https://ror.org/013w2d378","country_code":"RU","type":"facility","lineage":["https://openalex.org/I4210107660"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Nikolaev","raw_affiliation_strings":["IITP RAS (Kharkevich Institute), Moscow, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IITP RAS (Kharkevich Institute), Moscow, Russia","institution_ids":["https://openalex.org/I4210107660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210107660"],"apc_list":null,"apc_paid":null,"fwci":0.488,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61305799,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"3030","last_page":"3034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6914066076278687},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6166558265686035},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5480631589889526},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5151392221450806},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5145279765129089},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.5144963264465332},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5091103911399841},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.480579137802124},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.455514132976532},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.4535738229751587},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.43954741954803467},{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.41382479667663574},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4122734069824219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3968803286552429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33699876070022583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33111172914505005},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1296326220035553}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6914066076278687},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6166558265686035},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5480631589889526},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5151392221450806},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5145279765129089},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.5144963264465332},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5091103911399841},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.480579137802124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.455514132976532},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.4535738229751587},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.43954741954803467},{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.41382479667663574},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4122734069824219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3968803286552429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33699876070022583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33111172914505005},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1296326220035553},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip40778.2020.9191044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip40778.2020.9191044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2007.06289","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.06289","pdf_url":"https://arxiv.org/pdf/2007.06289","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3041694018","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2007.06289.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2007.06289","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2007.06289","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2007.06289","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2007.06289","pdf_url":"https://arxiv.org/pdf/2007.06289","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2934504215","display_name":null,"funder_award_id":"18-29-","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"},{"id":"https://openalex.org/G4419842687","display_name":null,"funder_award_id":"18-29-26020","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"},{"id":"https://openalex.org/G6289685625","display_name":null,"funder_award_id":"18-29-26033","funder_id":"https://openalex.org/F4320321079","funder_display_name":"Russian Foundation for Basic Research"}],"funders":[{"id":"https://openalex.org/F4320321079","display_name":"Russian Foundation for Basic Research","ror":"https://ror.org/02mh1ke95"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3041694018.pdf","grobid_xml":"https://content.openalex.org/works/W3041694018.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1528209651","https://openalex.org/W1600895246","https://openalex.org/W1968626395","https://openalex.org/W2020067944","https://openalex.org/W2020510568","https://openalex.org/W2047385188","https://openalex.org/W2055511749","https://openalex.org/W2056065433","https://openalex.org/W2061258853","https://openalex.org/W2069562432","https://openalex.org/W2096380898","https://openalex.org/W2114013702","https://openalex.org/W2126068349","https://openalex.org/W2135499588","https://openalex.org/W2145777459","https://openalex.org/W2146790012","https://openalex.org/W2148267424","https://openalex.org/W2169369819","https://openalex.org/W2624341887","https://openalex.org/W2765404275","https://openalex.org/W2769973660","https://openalex.org/W2794404562","https://openalex.org/W2811201958","https://openalex.org/W4255884149"],"related_works":["https://openalex.org/W3089786621","https://openalex.org/W2380895903","https://openalex.org/W2036789233","https://openalex.org/W1995199826","https://openalex.org/W2022312672","https://openalex.org/W185991184","https://openalex.org/W2795242212","https://openalex.org/W2011660888","https://openalex.org/W2309162830","https://openalex.org/W1484981145","https://openalex.org/W2082382697","https://openalex.org/W2220298342","https://openalex.org/W211372879","https://openalex.org/W1993968798","https://openalex.org/W2350877374","https://openalex.org/W2029264204","https://openalex.org/W2086628206","https://openalex.org/W2033336457","https://openalex.org/W2542808637","https://openalex.org/W634494034"],"abstract_inverted_index":{"Filtered":[0],"back":[1,103],"projection":[2,104],"(FBP)":[3],"is":[4,31,84,105],"a":[5,58,87],"commonly":[6],"used":[7],"technique":[8],"in":[9],"tomographic":[10],"image":[11],"reconstruction":[12,42],"demonstrating":[13],"acceptable":[14],"quality.":[15],"The":[16,102],"classical":[17],"direct":[18],"implementations":[19],"of":[20,26,35,66,89,121],"this":[21,54],"algorithm":[22,68],"require":[23,48],"the":[24,32,36,44,63,67,80,108,119,122],"execution":[25],"\u0398(N3)":[27],"operations,":[28],"where":[29],"N":[30],"linear":[33],"size":[34],"2D":[37],"slice.":[38],"Recent":[39],"approaches":[40],"including":[41],"via":[43],"Fourier":[45,75],"slice":[46],"theorem":[47],"\u0398(N2log":[49,70],"N)":[50,71],"multiplication":[51],"operations.":[52],"In":[53],"paper,":[55],"we":[56],"propose":[57],"novel":[59],"approach":[60],"that":[61],"reduces":[62],"computational":[64],"complexity":[65],"to":[69],"addition":[72],"operations":[73],"avoiding":[74],"space.":[76],"For":[77],"speeding":[78],"up":[79],"convolution,":[81],"ramp":[82],"filter":[83],"approximated":[85],"by":[86],"pair":[88],"causal":[90],"and":[91],"anticausal":[92],"recursive":[93],"filters,":[94],"also":[95],"known":[96],"as":[97],"Infinite":[98],"Impulse":[99],"Response":[100],"filters.":[101],"performed":[106],"with":[107],"fast":[109],"discrete":[110],"Hough":[111],"transform.":[112],"Experimental":[113],"results":[114],"on":[115],"simulated":[116],"data":[117],"demonstrate":[118],"efficiency":[120],"proposed":[123],"approach.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}