{"id":"https://openalex.org/W2047063977","doi":"https://doi.org/10.1109/access.2014.2326165","title":"Sart-Type Half-Threshold Filtering Approach for CT Reconstruction","display_name":"Sart-Type Half-Threshold Filtering Approach for CT Reconstruction","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2047063977","doi":"https://doi.org/10.1109/access.2014.2326165","mag":"2047063977","pmid":"https://pubmed.ncbi.nlm.nih.gov/25530928"},"language":"en","primary_location":{"id":"doi:10.1109/access.2014.2326165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2014.2326165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06819396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06819396.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052662150","display_name":"Hengyong Yu","orcid":"https://orcid.org/0000-0002-5852-0813"},"institutions":[{"id":"https://openalex.org/I47251452","display_name":"Wake Forest University","ror":"https://ror.org/0207ad724","country_code":"US","type":"education","lineage":["https://openalex.org/I47251452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hengyong Yu","raw_affiliation_strings":["Department of Biomedical Engineering, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA ; Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Winston-Salem, NC 27157, USA","Department of Biomedical Engineering, Wake Forest University Health Sciences, Winston Salem, NC - USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA ; Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Winston-Salem, NC 27157, USA","institution_ids":["https://openalex.org/I47251452"]},{"raw_affiliation_string":"Department of Biomedical Engineering, Wake Forest University Health Sciences, Winston Salem, NC - USA","institution_ids":["https://openalex.org/I47251452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100400458","display_name":"Ge Wang","orcid":"https://orcid.org/0000-0002-2656-7705"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ge Wang","raw_affiliation_strings":["Biomedical Imaging Cluster, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","Department of Biomedical EngineeringBiomedical Imaging Cluster, Rensselaer Polytechnic Institute, Troy, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biomedical Imaging Cluster, Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA","institution_ids":["https://openalex.org/I165799507"]},{"raw_affiliation_string":"Department of Biomedical EngineeringBiomedical Imaging Cluster, Rensselaer Polytechnic Institute, Troy, NY, USA","institution_ids":["https://openalex.org/I165799507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.146,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86477356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"602","last_page":"613"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9991000294685364,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.6227555274963379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3510904908180237},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35062873363494873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227555274963379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3510904908180237},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35062873363494873}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2014.2326165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2014.2326165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06819396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmid:25530928","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25530928","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE access : practical innovations, open solutions","raw_type":null},{"id":"pmh:oai:doaj.org/article:3141533c0c7f420ab2dd153f9d743033","is_oa":true,"landing_page_url":"https://doaj.org/article/3141533c0c7f420ab2dd153f9d743033","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 2, Pp 602-613 (2014)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:4269945","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4269945","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2014.2326165","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2014.2326165","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06819396.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3378846155","display_name":null,"funder_award_id":"CBET-1149679","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3520008934","display_name":"CAREER:Development and Application of Compressive Sensing Based Interior Tomography","funder_award_id":"1149679","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G355881873","display_name":null,"funder_award_id":"EB011785","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3974205924","display_name":null,"funder_award_id":"DMS-1210967","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4144105667","display_name":null,"funder_award_id":"EB011785","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G43294907","display_name":"Collaborative Research: Mathematical Aspects of Interior Problem of Tomography","funder_award_id":"1210967","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G479516934","display_name":null,"funder_award_id":"R01 EB011785","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G648985263","display_name":null,"funder_award_id":"CBET-1149679","funder_id":"https://openalex.org/F4320337390","funder_display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G906710763","display_name":null,"funder_award_id":"EB011785","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"},{"id":"https://openalex.org/F4320337390","display_name":"Division of Chemical, Bioengineering, Environmental, and Transport Systems","ror":"https://ror.org/0471zv972"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2047063977.pdf","grobid_xml":"https://content.openalex.org/works/W2047063977.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W295165261","https://openalex.org/W1179297989","https://openalex.org/W1980454827","https://openalex.org/W1997385352","https://openalex.org/W2004544971","https://openalex.org/W2011177382","https://openalex.org/W2025666718","https://openalex.org/W2034974381","https://openalex.org/W2051253684","https://openalex.org/W2056201402","https://openalex.org/W2100556411","https://openalex.org/W2103559027","https://openalex.org/W2107844156","https://openalex.org/W2115706991","https://openalex.org/W2122315118","https://openalex.org/W2145096794","https://openalex.org/W2165565866","https://openalex.org/W2221775387","https://openalex.org/W2963322354","https://openalex.org/W4250955649","https://openalex.org/W6627688642"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"The":[0,160],"\u2113":[1,33,46,63],"<sub":[2,34,47,64],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[3,35,48,65],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[4],"regularization":[5,67],"problem":[6],"has":[7],"been":[8],"widely":[9,114],"used":[10,115],"to":[11,30,77,95,116,130,153,184,198],"solve":[12,44,96],"the":[13,19,32,45,62,97,104,108,118,121,138,141,176,186,199,202],"sparsity":[14,20],"constrained":[15],"problems.":[16],"To":[17,136],"enhance":[18],"constraint":[21],"for":[22,61,133,158],"better":[23],"imaging":[24,106],"performance,":[25],"a":[26,86,155],"promising":[27],"direction":[28],"is":[29,74,113,123,152],"use":[31],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">p</sub>":[36,49],"norm":[37],"(0":[38],"<;":[39,41],"p":[40],"1)":[42],"and":[43,125,167,192,206],"minimization":[50],"problem.":[51,102],"Very":[52],"recently,":[53],"Xu":[54],"et":[55],"al.":[56],"developed":[57],"an":[58,69,147],"analytic":[59],"solution":[60],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1/2</sub>":[66],"via":[68],"iterative":[70],"thresholding":[71],"operation,":[72],"which":[73],"also":[75],"referred":[76],"as":[78],"half-threshold":[79,92,131,144,178],"filtering.":[80,208],"In":[81,103],"this":[82,150],"paper,":[83],"we":[84],"design":[85],"simultaneous":[87],"algebraic":[88],"reconstruction":[89,101],"technique":[90],"(SART)-type":[91],"filtering":[93,132,145,179,205],"framework":[94],"computed":[98],"tomography":[99],"(CT)":[100],"medical":[105],"filed,":[107],"discrete":[109],"gradient":[110],"transform":[111],"(DGT)":[112],"define":[117],"sparsity.":[119],"However,":[120],"DGT":[122],"noninvertible":[124],"it":[126],"cannot":[127],"be":[128],"applied":[129],"CT":[134],"reconstruction.":[135],"demonstrate":[137],"utility":[139],"of":[140,149,201],"proposed":[142,161],"SART-type":[143,177],"framework,":[146],"emphasis":[148],"paper":[151],"construct":[154],"pseudoinverse":[156],"transforms":[157],"DGT.":[159],"algorithms":[162,180],"are":[163,196],"evaluated":[164],"with":[165],"numerical":[166],"physical":[168],"phantom":[169],"data":[170],"sets.":[171],"Our":[172],"results":[173],"show":[174],"that":[175],"have":[181],"great":[182],"potential":[183],"improve":[185],"reconstructed":[187],"image":[188],"quality":[189],"from":[190],"few":[191],"noisy":[193],"projections.":[194],"They":[195],"complementary":[197],"counterparts":[200],"state-of-the-art":[203],"soft-threshold":[204],"hard-threshold":[207]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
