{"id":"https://openalex.org/W2546087828","doi":"https://doi.org/10.1109/nssmic.1993.373547","title":"Weak plate mechanical models in Bayesian reconstruction for emission tomography","display_name":"Weak plate mechanical models in Bayesian reconstruction for emission tomography","publication_year":2005,"publication_date":"2005-08-24","ids":{"openalex":"https://openalex.org/W2546087828","doi":"https://doi.org/10.1109/nssmic.1993.373547","mag":"2546087828"},"language":"en","primary_location":{"id":"doi:10.1109/nssmic.1993.373547","doi":"https://doi.org/10.1109/nssmic.1993.373547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nssmic.1993.373547","pdf_url":null,"source":{"id":"https://openalex.org/S4363608255","display_name":"IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","issn_l":"1095-7863","issn":["1095-7863"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2546087828"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5020224297","display_name":"Soo\u2010Jin Lee","orcid":"https://orcid.org/0000-0003-1069-6198","observed_orcids":["https://orcid.org/0000-0003-1069-6198"]},"institutions":[{"id":"https://openalex.org/I1327163397","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08","country_code":"US","type":"education","lineage":["https://openalex.org/I1327163397"]},{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soo-Jin Lee","raw_affiliation_strings":["Department of Electrical Engineering, SUNY at Stony Brook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, SUNY at Stony Brook","institution_ids":["https://openalex.org/I1327163397","https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059870257","display_name":"Anand Rangarajan","orcid":"https://orcid.org/0000-0001-8695-8436","observed_orcids":["https://orcid.org/0000-0001-8695-8436"]},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Rangarajan","raw_affiliation_strings":["Department of Computer Science, Yale University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yale University, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025085034","display_name":"Gene R. Gindi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Gindi","raw_affiliation_strings":["Department of Radiology, Department of Electrical Engineering, SUNY at Stony Brook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Department of Electrical Engineering, SUNY at Stony Brook","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1533","last_page":"1537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9345999956130981,"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":0.9345999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.034299999475479126,"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"}},{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.014299999922513962,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-image-reconstruction","display_name":"Bayesian image reconstruction","score":0.7179999947547913},{"id":"https://openalex.org/keywords/emission-tomography","display_name":"emission tomography","score":0.9729999899864197},{"id":"https://openalex.org/keywords/gradient-discontinuities","display_name":"gradient discontinuities","score":0.6990000009536743},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"maximum a posteriori estimation","score":0.890999972820282},{"id":"https://openalex.org/keywords/boltzmann-distribution","display_name":"Boltzmann distribution","score":0.9449999928474426}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8297667503356934},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.7187972068786621},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.7036098837852478},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.6880225539207458},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6025598049163818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4681667983531952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45301228761672974},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45109060406684875},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43946778774261475},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42602401971817017},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3350786566734314},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.21655872464179993}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nssmic.1993.373547","doi":"https://doi.org/10.1109/nssmic.1993.373547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nssmic.1993.373547","pdf_url":null,"source":{"id":"https://openalex.org/S4363608255","display_name":"IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","issn_l":"1095-7863","issn":["1095-7863"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2008164950","https://openalex.org/W2020999234","https://openalex.org/W4300777878","https://openalex.org/W4302220901"],"related_works":["https://openalex.org/W2160748123","https://openalex.org/W2231905199","https://openalex.org/W1589852775","https://openalex.org/W54072789","https://openalex.org/W2096094439","https://openalex.org/W4252903747","https://openalex.org/W1578011350","https://openalex.org/W2168090668","https://openalex.org/W2109812509","https://openalex.org/W1976913130"],"abstract_inverted_index":{"Bayesian":[0],"reconstruction":[1],"methods":[2],"for":[3,79,122],"emission":[4],"tomography":[5],"allow":[6],"the":[7,13,20,30,83,90,96,108,111,123,138,141],"introduction":[8],"of":[9,15,32,54,140],"prior":[10,70,103,112,144],"information":[11],"in":[12,48,82,89,95,104],"form":[14],"spatial":[16],"smoothness":[17,33],"constraints":[18],"on":[19],"underlying":[21],"object.":[22],"The":[23,64],"authors":[24,109],"extend":[25],"these":[26],"priors":[27],"to":[28,136,147],"model":[29,110],"type":[31],"that":[34,41,51,77],"favors":[35],"piecewise":[36,62],"linear":[37],"regions.":[38],"Empirical":[39],"evidence":[40],"this":[42],"extension":[43,65],"is":[44,46,59],"useful":[45],"found":[47],"animal":[49],"autoradiographs":[50],"show":[52],"regions":[53,81],"radionuclide":[55],"density":[56],"whose":[57],"structure":[58],"far":[60],"from":[61,133],"flat.":[63],"uses":[66],"a":[67,105,114,119,130],"\"weak":[68],"plate\"":[69],"(A.":[71],"Blake":[72],"and":[73,117,129],"A.":[74],"Zisserman,":[75],"1987)":[76],"allows":[78],"piecewise-ramplike":[80],"reconstruction.":[84],"Here,":[85],"discontinuities":[86],"include":[87],"creases-discontinuities":[88],"object":[91,97],"gradient":[92],"rather":[93],"than":[94],"itself.":[98],"To":[99],"incorporate":[100],"their":[101],"new":[102],"MAP":[106],"approach,":[107],"as":[113,145],"Gibbs":[115],"distribution":[116],"use":[118,126],"GEM":[120],"formulation":[121],"optimization.":[124],"They":[125],"mathematical":[127],"phantoms":[128],"phantom":[131],"derived":[132],"an":[134],"autoradiograph":[135],"illustrate":[137],"efficacy":[139],"weak":[142],"plate":[143],"compared":[146],"more":[148],"conventional":[149],"priors.>":[150]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-11-04T00:00:00"}