{"id":"https://openalex.org/W3011169279","doi":"https://doi.org/10.1109/camsap45676.2019.9022653","title":"X-ray CT reconstruction via $\\ell_{0}$ gradient projection","display_name":"X-ray CT reconstruction via $\\ell_{0}$ gradient projection","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011169279","doi":"https://doi.org/10.1109/camsap45676.2019.9022653","mag":"3011169279"},"language":"en","primary_location":{"id":"doi:10.1109/camsap45676.2019.9022653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5077092609","display_name":"Paul Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-8501-0907"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontificia Universidad Cat\u00f3lica del Per\u00fa","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":true,"raw_author_name":"Paul Rodriguez","raw_affiliation_strings":["Electrical Department, Pontificia Universidad Cat\u00f3lica del Per\u00fa, Lima, Peru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Department, Pontificia Universidad Cat\u00f3lica del Per\u00fa, Lima, Peru","institution_ids":["https://openalex.org/I65285256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5077092609"],"corresponding_institution_ids":["https://openalex.org/I65285256"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30346657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"306","last_page":"310"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9997000098228455,"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":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.695724368095398},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6472904086112976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5348972082138062},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4646014869213104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4509704113006592},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4439796805381775},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.4389742612838745},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.435085654258728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4229772984981537},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.42120420932769775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3717304468154907},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.24957317113876343},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08366599678993225}],"concepts":[{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.695724368095398},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6472904086112976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5348972082138062},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4646014869213104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4509704113006592},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4439796805381775},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.4389742612838745},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.435085654258728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4229772984981537},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.42120420932769775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3717304468154907},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.24957317113876343},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08366599678993225},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/camsap45676.2019.9022653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/camsap45676.2019.9022653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1511561107","https://openalex.org/W1973134722","https://openalex.org/W1987653544","https://openalex.org/W2018168463","https://openalex.org/W2037521346","https://openalex.org/W2048305372","https://openalex.org/W2074170100","https://openalex.org/W2087437361","https://openalex.org/W2094366314","https://openalex.org/W2095728038","https://openalex.org/W2097463283","https://openalex.org/W2099619241","https://openalex.org/W2100068253","https://openalex.org/W2100556411","https://openalex.org/W2103559027","https://openalex.org/W2109188022","https://openalex.org/W2114424556","https://openalex.org/W2119259145","https://openalex.org/W2130187411","https://openalex.org/W2133665775","https://openalex.org/W2134152745","https://openalex.org/W2142224912","https://openalex.org/W2164452299","https://openalex.org/W2164676763","https://openalex.org/W2172112489","https://openalex.org/W2560786802","https://openalex.org/W2578004414","https://openalex.org/W2889275313","https://openalex.org/W2899314786","https://openalex.org/W2951396542","https://openalex.org/W2996868574","https://openalex.org/W4249951384","https://openalex.org/W4250955649","https://openalex.org/W4292363360","https://openalex.org/W6680017387"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2208932071","https://openalex.org/W2896778670"],"abstract_inverted_index":{"Using":[0],"a":[1,8,14,47,94,102,127],"small":[2],"number":[3,138],"of":[4,26,54,109,116,129,139],"sampling":[5],"views":[6],"during":[7],"CT":[9,20,68,152],"(computed":[10],"tomography)":[11],"exam":[12],"is":[13,167],"widely":[15],"accepted":[16],"technique":[17],"for":[18],"low-dose":[19,151],"reconstruction,":[21],"which":[22,45,134],"reduces":[23],"the":[24,52,55,60,107,110,130,137,143,150,159,164],"risk":[25],"inducing":[27],"cancer":[28],"or":[29],"other":[30],"diseases":[31],"in":[32,67,71,93,142],"patients.":[33],"In":[34,122],"this":[35,123],"scenario,":[36],"total":[37],"variation":[38],"(TV)":[39],"based":[40,65,157],"compressed":[41],"sensing":[42],"(CS)":[43],"methods,":[44,86],"uses":[46],"regularization":[48,103],"term":[49,104],"that":[50,105,163,184],"penalizes":[51,136],"\u21131norm":[53],"reconstructed":[56,111,144],"image's":[57,112],"gradient,":[58],"outperform":[59],"traditional":[61],"FBP":[62],"(filtered":[63],"back-projection)":[64],"algorithms":[66],"reconstruction.":[69],"Furthermore,":[70],"order":[72],"to":[73,148],"reduce":[74,185],"well-known":[75],"artifacts":[76],"(smoothed":[77],"edges":[78],"and":[79,146,173,182],"texture":[80],"details)":[81],"favored":[82],"by":[83],"TV-based":[84,179],"CS":[85,180],"several":[87],"variants":[88],"have":[89],"been":[90],"proposed,":[91],"which,":[92],"general":[95],"context,":[96],"can":[97],"be":[98],"understood":[99],"as":[100,171],"using":[101],"approximates":[106],"\u21130norm":[108],"gradient.":[113],"These":[114],"type":[115],"methods":[117,181],"yield":[118],"state-of-the-art":[119],"reconstruction":[120,153],"results.":[121],"paper":[124],"we":[125],"exploit":[126],"variant":[128],"\u21130gradient":[131],"minimization":[132],"problem,":[133],"directly":[135],"non-zero":[140],"gradients":[141],"image,":[145],"propose":[147,165],"solve":[149],"problem.":[154],"Extended":[155],"experiments,":[156],"on":[158],"ASTRA":[160],"toolbox,":[161],"show":[162],"method":[166],"faster":[168],"(almost":[169],"twice":[170],"fast)":[172],"delivers":[174],"higher":[175],"quality":[176],"reconstructions":[177],"than":[178],"alternatives":[183],"smooth":[186],"artifacts.":[187]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
