{"id":"https://openalex.org/W2608993069","doi":"https://doi.org/10.3233/fi-2017-1594","title":"X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework","display_name":"X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework","publication_year":2017,"publication_date":"2017-09-12","ids":{"openalex":"https://openalex.org/W2608993069","doi":"https://doi.org/10.3233/fi-2017-1594","mag":"2608993069"},"language":"en","primary_location":{"id":"doi:10.3233/fi-2017-1594","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2017-1594","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01490523","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108047222","display_name":"Li Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Li Wang","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e8me, CentraleSup\u00e9lec, CNRS, Universit\u00e9 Paris Sud, Universit\u00e9 Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr"],"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e8me, CentraleSup\u00e9lec, CNRS, Universit\u00e9 Paris Sud, Universit\u00e9 Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210107720","https://openalex.org/I277688954","https://openalex.org/I102475099","https://openalex.org/I102197404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041990954","display_name":"Ali Mohammad\u2010Djafari","orcid":"https://orcid.org/0000-0003-0678-7759"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ali Mohammad-Djafari","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e8me, CentraleSup\u00e9lec, CNRS, Universit\u00e9 Paris Sud, Universit\u00e9 Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr"],"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e8me, CentraleSup\u00e9lec, CNRS, Universit\u00e9 Paris Sud, Universit\u00e9 Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210107720","https://openalex.org/I277688954","https://openalex.org/I102475099","https://openalex.org/I102197404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082573179","display_name":"Nicolas Gac","orcid":"https://orcid.org/0000-0001-6981-0368"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Gac","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e8me, CentraleSup\u00e9lec, CNRS, Universit\u00e9 Paris Sud, Universit\u00e9 Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr"],"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e8me, CentraleSup\u00e9lec, CNRS, Universit\u00e9 Paris Sud, Universit\u00e9 Paris-Saclay, 3, Rue Joliot-Curie, 91192 Gif-sur-Yvette, France. li.wang@lss.supelec.fr, djafari@lss.supelec.fr, nicolas.gac@lss.supelec.fr","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210107720","https://openalex.org/I277688954","https://openalex.org/I102475099","https://openalex.org/I102197404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108047222"],"corresponding_institution_ids":["https://openalex.org/I102197404","https://openalex.org/I102475099","https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I4210107720"],"apc_list":null,"apc_paid":null,"fwci":1.0627,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.76725477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"155","issue":"4","first_page":"449","last_page":"480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging 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":0.9980999827384949,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.7028671503067017},{"id":"https://openalex.org/keywords/haar","display_name":"Haar","score":0.6183636784553528},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5916759967803955},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5475871562957764},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5357825756072998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5234193801879883},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5103434920310974},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.4508979320526123},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4468940198421478},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41271206736564636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39218929409980774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3285113573074341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22230488061904907},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.0655604898929596}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.7028671503067017},{"id":"https://openalex.org/C187029792","wikidata":"https://www.wikidata.org/wiki/Q2179112","display_name":"Haar","level":3,"score":0.6183636784553528},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5916759967803955},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5475871562957764},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5357825756072998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5234193801879883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5103434920310974},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4508979320526123},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4468940198421478},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41271206736564636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39218929409980774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3285113573074341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22230488061904907},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0655604898929596},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/fi-2017-1594","is_oa":false,"landing_page_url":"https://doi.org/10.3233/fi-2017-1594","pdf_url":null,"source":{"id":"https://openalex.org/S39012697","display_name":"Fundamenta Informaticae","issn_l":"0169-2968","issn":["0169-2968","1875-8681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fundamenta Informaticae","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01490523v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01490523","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fundamenta Informaticae, 2017, 155 (4), pp.449-480. ⟨10.3233/FI-2017-1594⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01490523v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01490523","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fundamenta Informaticae, 2017, 155 (4), pp.449-480. ⟨10.3233/FI-2017-1594⟩","raw_type":"Journal articles"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1484307171","https://openalex.org/W1495241813","https://openalex.org/W1559374272","https://openalex.org/W1966360493","https://openalex.org/W1969121784","https://openalex.org/W1977983964","https://openalex.org/W1978468487","https://openalex.org/W1981367467","https://openalex.org/W1985588167","https://openalex.org/W1985690171","https://openalex.org/W1987043627","https://openalex.org/W1988669479","https://openalex.org/W1990919278","https://openalex.org/W1993102688","https://openalex.org/W1994750329","https://openalex.org/W2000721204","https://openalex.org/W2013574253","https://openalex.org/W2018332268","https://openalex.org/W2019647241","https://openalex.org/W2027915628","https://openalex.org/W2029250434","https://openalex.org/W2029460515","https://openalex.org/W2031614119","https://openalex.org/W2032322171","https://openalex.org/W2033106066","https://openalex.org/W2036941264","https://openalex.org/W2039939700","https://openalex.org/W2049204743","https://openalex.org/W2053349559","https://openalex.org/W2055576996","https://openalex.org/W2066608222","https://openalex.org/W2069629287","https://openalex.org/W2086570414","https://openalex.org/W2094072727","https://openalex.org/W2095709533","https://openalex.org/W2097915756","https://openalex.org/W2099810224","https://openalex.org/W2114487471","https://openalex.org/W2116641053","https://openalex.org/W2118522007","https://openalex.org/W2120636621","https://openalex.org/W2122825543","https://openalex.org/W2123499997","https://openalex.org/W2127581985","https://openalex.org/W2128104012","https://openalex.org/W2133665775","https://openalex.org/W2136634080","https://openalex.org/W2140054106","https://openalex.org/W2141637993","https://openalex.org/W2142058898","https://openalex.org/W2152020662","https://openalex.org/W2153552836","https://openalex.org/W2153663612","https://openalex.org/W2154130617","https://openalex.org/W2154744699","https://openalex.org/W2157597287","https://openalex.org/W2157666152","https://openalex.org/W2157812230","https://openalex.org/W2162308311","https://openalex.org/W2169894018","https://openalex.org/W2186226511","https://openalex.org/W2327101409","https://openalex.org/W2404009085","https://openalex.org/W2407641597","https://openalex.org/W2530327133","https://openalex.org/W2970680670","https://openalex.org/W4211128380","https://openalex.org/W4232138742","https://openalex.org/W4237805800","https://openalex.org/W4245248235","https://openalex.org/W4248681815"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2164129707","https://openalex.org/W4292122269","https://openalex.org/W2949366006","https://openalex.org/W3009482083","https://openalex.org/W2114126363","https://openalex.org/W1849121211","https://openalex.org/W2612090932","https://openalex.org/W4321749634","https://openalex.org/W2065699483"],"abstract_inverted_index":{"X-ray":[0,39],"Computed":[1],"Tomography":[2],"(CT)":[3],"has":[4],"become":[5],"a":[6,21,27,49,75,80],"hot":[7],"topic":[8],"in":[9,15],"both":[10],"medical":[11],"and":[12,79],"industrial":[13],"applications":[14],"recent":[16],"decades.":[17],"Reconstruction":[18],"by":[19,43],"using":[20,44],"limited":[22],"number":[23],"of":[24,74,96],"projections":[25],"is":[26,68,84],"significant":[28],"research":[29],"domain.":[30],"In":[31,60],"this":[32],"paper,":[33],"we":[34],"propose":[35],"to":[36,86],"solve":[37],"the":[38,45,56,61,64,71,94,97],"CT":[40],"reconstruction":[41],"problem":[42],"Bayesian":[46],"approach":[47],"with":[48,100],"hierarchical":[50],"structured":[51],"prior":[52],"model":[53],"basing":[54],"on":[55],"multilevel":[57,65],"Haar":[58,66],"transformation.":[59],"proposed":[62,98],"model,":[63],"transformation":[67],"used":[69,85],"as":[70],"sparse":[72],"representation":[73],"piecewise":[76],"continuous":[77],"image,":[78],"generalized":[81],"Student-t":[82],"distribution":[83],"enforce":[87],"its":[88],"sparsity.":[89],"The":[90],"simulation":[91],"results":[92],"compare":[93],"performance":[95],"method":[99],"some":[101],"state-of-the-art":[102],"methods.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}