{"id":"https://openalex.org/W2963981262","doi":"https://doi.org/10.1137/141000038","title":"Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise","display_name":"Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2963981262","doi":"https://doi.org/10.1137/141000038","mag":"2963981262"},"language":"en","primary_location":{"id":"doi:10.1137/141000038","is_oa":true,"landing_page_url":"https://doi.org/10.1137/141000038","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1137/141000038","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016604044","display_name":"Yan Kaganovsky","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yan Kaganovsky","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101411710","display_name":"Shaobo Han","orcid":"https://orcid.org/0000-0003-2545-7114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaobo Han","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084332777","display_name":"Soysal Degirmenci","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soysal Degirmenci","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113614918","display_name":"David G. Politte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David G. Politte","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037270103","display_name":"David J. Brady","orcid":"https://orcid.org/0000-0001-5655-2478"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David J. Brady","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044333105","display_name":"Joseph A. O\u2019Sullivan","orcid":"https://orcid.org/0000-0003-1510-4876"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph A. O'Sullivan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5016448581","display_name":"Lawrence Carin","orcid":"https://orcid.org/0000-0001-6277-7948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lawrence Carin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016604044"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7904,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75916725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":"3","first_page":"2087","last_page":"2132"},"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/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9986000061035156,"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/T10844","display_name":"Radiation Dose and Imaging","score":0.9969000220298767,"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/algorithm","display_name":"Algorithm","score":0.7267723083496094},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5779495239257812},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5177668333053589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4803110957145691},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44761472940444946},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4377526044845581},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4138393998146057},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4127180874347687},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4081341624259949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31566715240478516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27244552969932556}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7267723083496094},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5779495239257812},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5177668333053589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4803110957145691},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44761472940444946},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4377526044845581},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4138393998146057},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4127180874347687},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4081341624259949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31566715240478516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27244552969932556},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/141000038","is_oa":true,"landing_page_url":"https://doi.org/10.1137/141000038","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1137/141000038","is_oa":true,"landing_page_url":"https://doi.org/10.1137/141000038","pdf_url":null,"source":{"id":"https://openalex.org/S152600803","display_name":"SIAM Journal on Imaging Sciences","issn_l":"1936-4954","issn":["1936-4954"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Imaging Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W79907748","https://openalex.org/W1506342804","https://openalex.org/W1516111018","https://openalex.org/W1567512734","https://openalex.org/W1647554959","https://openalex.org/W1663973292","https://openalex.org/W1676212501","https://openalex.org/W1927271208","https://openalex.org/W1972150100","https://openalex.org/W1979603710","https://openalex.org/W1980003430","https://openalex.org/W1984207775","https://openalex.org/W1986262252","https://openalex.org/W1994808901","https://openalex.org/W1998950435","https://openalex.org/W1999671618","https://openalex.org/W2000721204","https://openalex.org/W2030597423","https://openalex.org/W2032237670","https://openalex.org/W2037521346","https://openalex.org/W2038614136","https://openalex.org/W2042027138","https://openalex.org/W2043310665","https://openalex.org/W2049633694","https://openalex.org/W2050551672","https://openalex.org/W2053742104","https://openalex.org/W2057612871","https://openalex.org/W2058583833","https://openalex.org/W2064526599","https://openalex.org/W2065095381","https://openalex.org/W2068454934","https://openalex.org/W2078897936","https://openalex.org/W2087332491","https://openalex.org/W2089048969","https://openalex.org/W2099111195","https://openalex.org/W2101730403","https://openalex.org/W2107603166","https://openalex.org/W2108214478","https://openalex.org/W2110733023","https://openalex.org/W2112195971","https://openalex.org/W2114551781","https://openalex.org/W2118916039","https://openalex.org/W2127870457","https://openalex.org/W2136477614","https://openalex.org/W2136870201","https://openalex.org/W2143163922","https://openalex.org/W2147053314","https://openalex.org/W2152142562","https://openalex.org/W2153455783","https://openalex.org/W2157099732","https://openalex.org/W2157666152","https://openalex.org/W2161765392","https://openalex.org/W2167052594","https://openalex.org/W2168745297","https://openalex.org/W2171980229","https://openalex.org/W2266946488","https://openalex.org/W2296319761","https://openalex.org/W3103250059","https://openalex.org/W3193262203","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W1998563493","https://openalex.org/W2383143032","https://openalex.org/W2591986954"],"abstract_inverted_index":{"We":[0,131],"propose":[1],"a":[2,57],"globally":[3],"convergent":[4],"alternating":[5],"minimization":[6],"(AM)":[7],"algorithm":[8,29,65,82,102,138,149],"for":[9,45,97,104,139,168],"image":[10,73],"reconstruction":[11],"in":[12,35,124],"transmission":[13,125],"tomography,":[14],"which":[15,87],"extends":[16],"automatic":[17],"relevance":[18],"determination":[19],"(ARD)":[20],"to":[21,76,152],"Poisson":[22],"noise":[23,165],"models":[24],"with":[25,72,117],"Beer's":[26],"law.":[27],"The":[28,148],"promotes":[30],"solutions":[31],"that":[32],"are":[33,128],"sparse":[34],"the":[36,54,62,89,101,111,118,133,136],"pixel/voxel--difference":[37],"domain":[38],"by":[39],"introducing":[40],"additional":[41],"latent":[42],"variables,":[43],"one":[44],"each":[46,98],"pixel/voxel,":[47],"and":[48,145],"then":[49],"learning":[50],"these":[51],"variables":[52],"from":[53,176],"data":[55],"using":[56,143],"hierarchical":[58],"Bayesian":[59],"model.":[60],"Importantly,":[61],"proposed":[63,137],"AM":[64],"is":[66,150,174],"free":[67],"of":[68,114,135],"any":[69],"tuning":[70],"parameters":[71],"quality":[74],"comparable":[75],"standard":[77],"penalized":[78],"likelihood":[79],"methods.":[80],"Our":[81],"exploits":[83],"optimization":[84,94],"transfer":[85],"principles":[86],"reduce":[88],"problem":[90],"into":[91],"parallel":[92],"one-dimensional":[93],"tasks":[95],"(one":[96],"pixel/voxel),":[99],"making":[100],"feasible":[103],"large-scale":[105],"problems.":[106],"This":[107],"approach":[108],"considerably":[109],"reduces":[110],"computational":[112],"bottleneck":[113],"ARD":[115,159],"associated":[116],"posterior":[119],"variances.":[120],"Positivity":[121],"constraints":[122],"inherent":[123],"tomography":[126,142],"problems":[127],"also":[129],"enforced.":[130],"demonstrate":[132],"performance":[134,156],"x-ray":[140],"computed":[141],"synthetic":[144],"real-world":[146],"datasets.":[147],"shown":[151],"have":[153],"much":[154],"better":[155],"than":[157],"prior":[158],"algorithms":[160],"based":[161],"on":[162],"approximate":[163],"Gaussian":[164],"models,":[166],"even":[167],"high":[169],"photon":[170],"flux.":[171],"Sample":[172],"code":[173],"available":[175],"http://www.yan-kaganovsky.com/\\#!code/c24bp.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}