{"id":"https://openalex.org/W4400033732","doi":"https://doi.org/10.1109/tci.2024.3414273","title":"Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning","display_name":"Sequential Experimental Design for X-Ray CT Using Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400033732","doi":"https://doi.org/10.1109/tci.2024.3414273"},"language":"en","primary_location":{"id":"doi:10.1109/tci.2024.3414273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3414273","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Computational Imaging","raw_type":"journal-article"},"type":"article","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/A5004288652","display_name":"T Wang","orcid":"https://orcid.org/0009-0001-8245-2363"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tianyuan Wang","raw_affiliation_strings":["Computational Imaging, Centrum Wiskunde en Informatica (CWI), Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Computational Imaging, Centrum Wiskunde en Informatica (CWI), Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036662934","display_name":"Felix Lucka","orcid":"https://orcid.org/0000-0002-8763-5177"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Felix Lucka","raw_affiliation_strings":["Computational Imaging, Centrum Wiskunde en Informatica (CWI), Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Computational Imaging, Centrum Wiskunde en Informatica (CWI), Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008696762","display_name":"Tristan van Leeuwen","orcid":"https://orcid.org/0000-0002-8794-6426"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]},{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Tristan van Leeuwen","raw_affiliation_strings":["Computational Imaging, Centrum Wiskunde en Informatica (CWI), Amsterdam, The Netherlands","Utrecht University, Mathematical Institute, Utrecht, 3584 CD, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Computational Imaging, Centrum Wiskunde en Informatica (CWI), Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I1341640284"]},{"raw_affiliation_string":"Utrecht University, Mathematical Institute, Utrecht, 3584 CD, The Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004288652"],"corresponding_institution_ids":["https://openalex.org/I1341640284"],"apc_list":null,"apc_paid":null,"fwci":1.6031,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83896953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":null,"first_page":"953","last_page":"968"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.5667492747306824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5524097681045532},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5455335378646851},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4679749310016632},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43037062883377075}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5667492747306824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5524097681045532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5455335378646851},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4679749310016632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43037062883377075}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tci.2024.3414273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tci.2024.3414273","pdf_url":null,"source":{"id":"https://openalex.org/S4210233665","display_name":"IEEE Transactions on Computational Imaging","issn_l":"2333-9403","issn":["2333-9403","2573-0436"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Computational Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W319611471","https://openalex.org/W613352991","https://openalex.org/W1144917412","https://openalex.org/W1522301498","https://openalex.org/W1529750846","https://openalex.org/W2015635888","https://openalex.org/W2048066816","https://openalex.org/W2053891531","https://openalex.org/W2069271851","https://openalex.org/W2101484286","https://openalex.org/W2145801311","https://openalex.org/W2148060465","https://openalex.org/W2418951147","https://openalex.org/W2533020866","https://openalex.org/W2884751849","https://openalex.org/W3036588999","https://openalex.org/W3139744316","https://openalex.org/W3178557134","https://openalex.org/W3193839801","https://openalex.org/W4214717370","https://openalex.org/W4237006396","https://openalex.org/W4237018209","https://openalex.org/W4285429105","https://openalex.org/W4309947350","https://openalex.org/W4372267433","https://openalex.org/W6631190155","https://openalex.org/W6839117638","https://openalex.org/W6849557219"],"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":{"In":[0],"X-ray":[1],"Computed":[2],"Tomography":[3],"(CT),":[4],"projections":[5],"from":[6,45],"many":[7],"angles":[8,28,56,63,164],"are":[9,81],"acquired":[10],"and":[11,116,177],"used":[12],"for":[13,20,41,64],"3D":[14,43],"reconstruction.":[15],"To":[16,48,96],"make":[17],"CT":[18],"suitable":[19],"in-line":[21],"quality":[22,32],"control,":[23],"reducing":[24],"the":[25,60,94,102,154,160,174],"number":[26],"of":[27,134],"while":[29],"maintaining":[30],"reconstruction":[31],"is":[33,37],"necessary.":[34],"Sparse-angle":[35],"tomography":[36,183],"a":[38,106,113,131,144,168],"popular":[39],"approach":[40,124,176],"obtaining":[42],"reconstructions":[44],"limited":[46],"data.":[47,186],"optimize":[49],"its":[50,179],"performance,":[51],"one":[52],"can":[53,157],"adapt":[54],"scan":[55,163],"sequentially":[57],"to":[58,71,129],"select":[59],"most":[61,161],"informative":[62,162],"each":[65],"scanned":[66],"object.":[67],"Mathematically,":[68],"this":[69],"corresponds":[70],"solving":[72,143],"an":[73],"optimal":[74],"experimental":[75],"design":[76],"(OED)":[77],"problem.":[78],"OED":[79,103,135,146],"problems":[80,86,136],"high-dimensional,":[82],"non-convex,":[83],"bi-level":[84],"optimization":[85],"that":[87],"cannot":[88],"be":[89],"solved":[90],"online,":[91],"i.e.,":[92],"during":[93],"scan.":[95],"address":[97],"these":[98],"challenges,":[99],"we":[100],"pose":[101],"problem":[104,147],"as":[105],"partially":[107],"observable":[108],"Markov":[109],"decision":[110],"process":[111],"in":[112],"Bayesian":[114],"framework,":[115],"solve":[117,130],"it":[118],"through":[119,137],"deep":[120],"reinforcement":[121],"learning.":[122],"The":[123],"learns":[125],"efficient":[126],"non-greedy":[127],"policies":[128],"given":[132,145],"class":[133],"extensive":[138],"offline":[139],"training":[140,170],"rather":[141],"than":[142],"directly":[148],"via":[149],"numerical":[150],"optimization.":[151],"As":[152],"such,":[153],"trained":[155],"policy":[156,169],"successfully":[158],"find":[159],"online.":[165],"We":[166],"use":[167],"method":[171],"based":[172],"on":[173,181],"Actor-Critic":[175],"evaluate":[178],"performance":[180],"2D":[182],"with":[184],"synthetic":[185]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
