{"id":"https://openalex.org/W2062534794","doi":"https://doi.org/10.1109/icip.2014.7025347","title":"Tomographic reconstruction of flowing gases using sparse training","display_name":"Tomographic reconstruction of flowing gases using sparse training","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2062534794","doi":"https://doi.org/10.1109/icip.2014.7025347","mag":"2062534794"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025347","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/A5017202330","display_name":"Zeeshan Nadir","orcid":"https://orcid.org/0000-0002-6477-377X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeeshan Nadir","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075135613","display_name":"Michael S. Brown","orcid":"https://orcid.org/0000-0002-6357-2562"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S. Brown","raw_affiliation_strings":["Air Force Research Laboratory, OH","Air Force Research Laboratory, Wright-Patterson AFB, OH 45433"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, OH","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Air Force Research Laboratory, Wright-Patterson AFB, OH 45433","institution_ids":["https://openalex.org/I1280414376"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012730921","display_name":"Mary L. Comer","orcid":"https://orcid.org/0000-0001-8935-1365"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary L. Comer","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056657991","display_name":"Charles A. Bouman","orcid":"https://orcid.org/0000-0001-8504-0383"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles A. Bouman","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]},{"raw_affiliation_string":"[School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.]","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"1733","last_page":"1737"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic 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"}},"topics":[{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic 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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11111","display_name":"Spectroscopy and Laser Applications","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tunable-diode-laser-absorption-spectroscopy","display_name":"Tunable diode laser absorption spectroscopy","score":0.6374573707580566},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6159204244613647},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.6100188493728638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5253521800041199},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5225633978843689},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5207245945930481},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4616715908050537},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4402194321155548},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43653643131256104},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4309002459049225},{"id":"https://openalex.org/keywords/laser","display_name":"Laser","score":0.37422484159469604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3225530982017517},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.30106115341186523},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2887929379940033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19731995463371277},{"id":"https://openalex.org/keywords/tunable-laser","display_name":"Tunable laser","score":0.15290674567222595},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09876307845115662}],"concepts":[{"id":"https://openalex.org/C103324678","wikidata":"https://www.wikidata.org/wiki/Q592333","display_name":"Tunable diode laser absorption spectroscopy","level":4,"score":0.6374573707580566},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6159204244613647},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.6100188493728638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253521800041199},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5225633978843689},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5207245945930481},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4616715908050537},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4402194321155548},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43653643131256104},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4309002459049225},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.37422484159469604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3225530982017517},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.30106115341186523},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2887929379940033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19731995463371277},{"id":"https://openalex.org/C97749803","wikidata":"https://www.wikidata.org/wiki/Q3753940","display_name":"Tunable laser","level":3,"score":0.15290674567222595},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09876307845115662},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025347","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1966200583","https://openalex.org/W1969508171","https://openalex.org/W1990512452","https://openalex.org/W1998326941","https://openalex.org/W2018093969","https://openalex.org/W2021922963","https://openalex.org/W2024600461","https://openalex.org/W2028953234","https://openalex.org/W2038991339","https://openalex.org/W2050488999","https://openalex.org/W2056837487","https://openalex.org/W2062125287","https://openalex.org/W2066235368","https://openalex.org/W2073468757","https://openalex.org/W2074257874","https://openalex.org/W2077735085","https://openalex.org/W2091707325","https://openalex.org/W2092512859","https://openalex.org/W2099392466","https://openalex.org/W2106139345","https://openalex.org/W2106881063","https://openalex.org/W2110733023","https://openalex.org/W2114072951","https://openalex.org/W2123132491","https://openalex.org/W2126982558","https://openalex.org/W2127230433","https://openalex.org/W2129916000","https://openalex.org/W2130351130","https://openalex.org/W2132555912","https://openalex.org/W2133151341","https://openalex.org/W2136809053","https://openalex.org/W2155569237","https://openalex.org/W2162145826","https://openalex.org/W2325716444","https://openalex.org/W3101788651","https://openalex.org/W4211105962","https://openalex.org/W6663084423","https://openalex.org/W6683007409"],"related_works":["https://openalex.org/W1928301487","https://openalex.org/W2151220638","https://openalex.org/W2725829804","https://openalex.org/W2982317495","https://openalex.org/W2004988775","https://openalex.org/W2088308468","https://openalex.org/W170151271","https://openalex.org/W2017732498","https://openalex.org/W4320811908","https://openalex.org/W2137532034"],"abstract_inverted_index":{"Tunable":[0],"Diode":[1],"Laser":[2],"Absorption":[3],"Spectroscopy":[4],"(TDLAS)":[5],"is":[6,30,44,131,148],"an":[7],"emerging":[8],"technique":[9],"for":[10,79,160],"simultaneous":[11,21],"sensing":[12],"of":[13,17,23,39,53,68,84,99,138,145],"temperature":[14,24],"and":[15,25,35,102,152],"concentration":[16,26],"gaseous":[18],"media.":[19],"However,":[20],"reconstruction":[22,82,129],"using":[27,61,156],"TDLAS":[28,85],"measurements":[29],"a":[31,50,76,91,104],"nonlinear":[32,92],"inverse":[33],"problem":[34],"unlike":[36],"other":[37],"forms":[38],"computed":[40,60],"tomography":[41],"(CT),":[42],"it":[43],"typically":[45],"not":[46],"possible":[47],"to":[48],"take":[49],"large":[51],"number":[52,137,144],"projection":[54],"measurements;":[55],"so":[56],"reconstructions":[57,155],"are":[58],"often":[59],"simplistic":[62],"assumptions":[63],"that":[64,108,126],"limit":[65],"the":[66,69,97,136,143,161],"usability":[67],"results.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"present":[75],"fast":[77],"algorithm":[78,130],"model-based":[80],"iterative":[81],"(MBIR)":[83],"data.":[86,116],"Our":[87],"TDLAS-MBIR":[88],"method":[89],"uses":[90],"forward":[93],"model":[94,107],"based":[95],"on":[96,119],"physics":[98],"light":[100],"absorption":[101],"incorporates":[103],"holistic":[105],"prior":[106,162],"can":[109],"be":[110],"learned":[111],"from":[112],"very":[113],"sparse":[114],"training":[115,158],"Reconstructions":[117],"performed":[118],"computational":[120],"fluid":[121],"dynamics":[122],"(CFD)":[123],"phantoms":[124],"show":[125],"our":[127],"proposed":[128],"fast;":[132],"works":[133],"well":[134],"when":[135],"pixels,":[139],"p,":[140],"far":[141],"exceeds":[142],"measurements,":[146],"M;":[147],"robust":[149],"against":[150],"noise;":[151],"produces":[153],"good":[154],"few":[157],"examples":[159],"model.":[163]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}