{"id":"https://openalex.org/W2029832785","doi":"https://doi.org/10.1109/icip.2014.7025354","title":"Combining interior tomography reconstruction and spatial regularization","display_name":"Combining interior tomography reconstruction and spatial regularization","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2029832785","doi":"https://doi.org/10.1109/icip.2014.7025354","mag":"2029832785"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5059095138","display_name":"L\u00edlian Chaves Brand\u00e3o dos Santos","orcid":null},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lilian Chaves Brandao dos Santos","raw_affiliation_strings":["Laboratoire d'Informatique Gaspard-Monge, Universite Paris-Est, Marne-la-Vallee, FR","Universit\u00e9 Paris-Est, Laboratoire d'Informatique Gaspard-Monge, 5, Boulevard Descartes, Champs-sur-Marne, 77454 Cedex 2, Marne-la-Vall\u00e9e, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique Gaspard-Monge, Universite Paris-Est, Marne-la-Vallee, FR","institution_ids":["https://openalex.org/I4210152518"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Est, Laboratoire d'Informatique Gaspard-Monge, 5, Boulevard Descartes, Champs-sur-Marne, 77454 Cedex 2, Marne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I204730241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077153523","display_name":"Emmanuelle Gouillart","orcid":"https://orcid.org/0000-0002-3869-9967"},"institutions":[{"id":"https://openalex.org/I123791789","display_name":"Saint-Gobain (France)","ror":"https://ror.org/02fdb8q57","country_code":"FR","type":"company","lineage":["https://openalex.org/I123791789"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210141213","display_name":"Surface du Verre et Interfaces","ror":"https://ror.org/04kadgz77","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210098836","https://openalex.org/I4210141213"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emmanuelle Gouillart","raw_affiliation_strings":["Unit\u00e9 mixte CNRS/Saint-Gobain Surface du Verre et Interfaces, Saint-Gobain Recherche, Aubervilliers Cedex, France","Unit\u00e9 mixte CNRS/Saint-Gobain Surface du Verre et Interfaces, Saint-Gobain Recherche, 39 quai Lucien Lefranc, 93303 Aubervilliers Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit\u00e9 mixte CNRS/Saint-Gobain Surface du Verre et Interfaces, Saint-Gobain Recherche, Aubervilliers Cedex, France","institution_ids":["https://openalex.org/I123791789","https://openalex.org/I1294671590","https://openalex.org/I4210141213"]},{"raw_affiliation_string":"Unit\u00e9 mixte CNRS/Saint-Gobain Surface du Verre et Interfaces, Saint-Gobain Recherche, 39 quai Lucien Lefranc, 93303 Aubervilliers Cedex, France","institution_ids":["https://openalex.org/I123791789","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002452272","display_name":"Hugues Talbot","orcid":"https://orcid.org/0000-0002-2179-3498"},"institutions":[{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210152518","display_name":"Laboratoire d'Informatique Gaspard-Monge","ror":"https://ror.org/04t50yk91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I142631665","https://openalex.org/I4210145102","https://openalex.org/I4210152518","https://openalex.org/I4210154111","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hugues Talbot","raw_affiliation_strings":["Laboratoire d'Informatique Gaspard-Monge, 5, Universite Paris-Est, Marne-la-Vall\u00e9e, France","Universit\u00e9 Paris-Est, Laboratoire d'Informatique Gaspard-Monge, 5, Boulevard Descartes, Champs-sur-Marne, 77454 Cedex 2, Marne-la-Vall\u00e9e, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Informatique Gaspard-Monge, 5, Universite Paris-Est, Marne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I4210152518"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Est, Laboratoire d'Informatique Gaspard-Monge, 5, Boulevard Descartes, Champs-sur-Marne, 77454 Cedex 2, Marne-la-Vall\u00e9e, France","institution_ids":["https://openalex.org/I204730241"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7595,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66466466,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1768","last_page":"1772"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9970999956130981,"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/tomography","display_name":"Tomography","score":0.7927401661872864},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6765139102935791},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6705610752105713},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5250831842422485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.511286735534668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5031749606132507},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4801699221134186},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38735848665237427},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3729217052459717},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15634724497795105},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.11978477239608765}],"concepts":[{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.7927401661872864},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6765139102935791},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6705610752105713},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5250831842422485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511286735534668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5031749606132507},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4801699221134186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38735848665237427},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3729217052459717},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15634724497795105},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.11978477239608765},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W185220609","https://openalex.org/W564879882","https://openalex.org/W641193822","https://openalex.org/W1978926712","https://openalex.org/W1997549538","https://openalex.org/W2006262045","https://openalex.org/W2008001934","https://openalex.org/W2024903386","https://openalex.org/W2035867003","https://openalex.org/W2037521346","https://openalex.org/W2037973278","https://openalex.org/W2038284539","https://openalex.org/W2058583833","https://openalex.org/W2059642423","https://openalex.org/W2068017087","https://openalex.org/W2071315556","https://openalex.org/W2082737320","https://openalex.org/W2098426318","https://openalex.org/W2106547042","https://openalex.org/W2122436895","https://openalex.org/W2133059825","https://openalex.org/W2136398689","https://openalex.org/W2142224912","https://openalex.org/W2161761402","https://openalex.org/W2165565866","https://openalex.org/W2171074980","https://openalex.org/W3101628801","https://openalex.org/W3104509149","https://openalex.org/W4299416517","https://openalex.org/W6607545718","https://openalex.org/W6620993202","https://openalex.org/W6652597287","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W2366906938","https://openalex.org/W2349391998","https://openalex.org/W4205655149","https://openalex.org/W2000775715","https://openalex.org/W2795393339","https://openalex.org/W2074467390","https://openalex.org/W4390618967","https://openalex.org/W2626393719","https://openalex.org/W2174745845","https://openalex.org/W2959145970"],"abstract_inverted_index":{"Interior":[0],"tomography,":[1,14],"also":[2,70],"called":[3],"local":[4],"or":[5],"region-of-interest":[6],"tomography":[7,31,41],"is":[8,21,33],"a":[9,50,62,89,102],"special":[10],"case":[11,73,79],"of":[12,53,74,80,88,99,109,113],"computed":[13],"in":[15,77],"which":[16],"the":[17,24,30,72,78,86,94,97,107,110,114],"object":[18],"under":[19],"study":[20],"larger":[22],"than":[23,39],"detector.":[25],"In":[26,57],"this":[27,58],"modality,":[28],"reconstructing":[29],"image":[32,95],"an":[34],"even":[35,48],"more":[36],"ill-posed":[37],"problem":[38],"standard":[40],"and":[42,101,125],"characteristic":[43],"artefacts":[44],"are":[45,55],"typically":[46],"observed,":[47],"when":[49],"large":[51],"number":[52],"measurements":[54,76],"taken.":[56],"work":[59],"we":[60],"propose":[61],"reconstruction":[63],"algorithm":[64,84],"designed":[65],"for":[66,93,106],"interior":[67],"tomography.":[68],"We":[69,120],"investigate":[71],"under-sampled":[75],"gradient-sparse":[81],"images.":[82],"Our":[83],"optimizes":[85],"sum":[87],"spatial":[90],"regularization":[91,104],"terms":[92],"inside":[96],"region":[98],"interest,":[100],"sinogram":[103],"term":[105],"projection":[108],"non-reconstructed":[111],"part":[112],"sample,":[115],"using":[116],"convex":[117],"optimization":[118],"techniques.":[119],"present":[121],"results":[122],"on":[123],"simulated":[124],"real":[126],"data.":[127]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
