{"id":"https://openalex.org/W2901030327","doi":"https://doi.org/10.1109/nssmic.2017.8532880","title":"Real-Time Accurate Rebinning of PET Data Based on the Pseudo-Inverse of the Axial System Matrix","display_name":"Real-Time Accurate Rebinning of PET Data Based on the Pseudo-Inverse of the Axial System Matrix","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2901030327","doi":"https://doi.org/10.1109/nssmic.2017.8532880","mag":"2901030327"},"language":"en","primary_location":{"id":"doi:10.1109/nssmic.2017.8532880","doi":"https://doi.org/10.1109/nssmic.2017.8532880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nssmic.2017.8532880","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":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","raw_type":"proceedings-article"},"volume":null,"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/A5008450407","display_name":"Alejandro L\u00f3pez-Montes","orcid":"https://orcid.org/0000-0002-3307-532X","observed_orcids":["https://orcid.org/0000-0002-3307-532X"]},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"A. Lopez-Montes","raw_affiliation_strings":["Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028940459","display_name":"Pablo Galve","orcid":"https://orcid.org/0000-0003-4507-898X","observed_orcids":["https://orcid.org/0000-0003-4507-898X"]},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"P. Galve","raw_affiliation_strings":["Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041975493","display_name":"Jos\u00e9 Manuel Ud\u00edas","orcid":"https://orcid.org/0000-0003-3714-764X","observed_orcids":["https://orcid.org/0000-0003-3714-764X"]},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.M. Udias","raw_affiliation_strings":["Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023448964","display_name":"Joaqu\u00edn L. Herraiz","orcid":"https://orcid.org/0000-0001-7208-8863","observed_orcids":["https://orcid.org/0000-0001-7208-8863"]},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J.L. Herraiz","raw_affiliation_strings":["Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Grupo de F\u00edsica Nuclear and Uparcos, Facultad de Ciencias F\u00edsicas, Universidad Complutense de Madrid, CEI Moncloa, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32103004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11205","display_name":"Numerical methods in inverse problems","score":9.999999747378752e-05,"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"}},{"id":"https://openalex.org/T10372","display_name":"Cardiac Imaging and Diagnostics","score":9.999999747378752e-05,"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/pseudoinverse","display_name":"pseudoinverse","score":0.6389999985694885},{"id":"https://openalex.org/keywords/resolution-recovery","display_name":"resolution recovery","score":0.7369999885559082},{"id":"https://openalex.org/keywords/filtered-back-projection","display_name":"filtered backprojection","score":0.8669999837875366},{"id":"https://openalex.org/keywords/analytical-reconstruction","display_name":"analytical reconstruction","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C21556879","wikidata":"https://www.wikidata.org/wiki/Q43219517","display_name":"Moore\u2013Penrose pseudoinverse","level":3,"score":0.7470176815986633},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.681219220161438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520765423774719},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5616821050643921},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.507923424243927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4817523956298828},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4676736295223236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46112388372421265},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43811529874801636},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.4296523332595825},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.30869391560554504},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1657772660255432},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nssmic.2017.8532880","doi":"https://doi.org/10.1109/nssmic.2017.8532880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nssmic.2017.8532880","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":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1600441643","https://openalex.org/W2100503136","https://openalex.org/W2137062118","https://openalex.org/W2142319793","https://openalex.org/W2146583368","https://openalex.org/W2163219786","https://openalex.org/W3022078713","https://openalex.org/W4255291750"],"related_works":["https://openalex.org/W2947334425","https://openalex.org/W3016749654","https://openalex.org/W2970919567","https://openalex.org/W2146892597","https://openalex.org/W1534809093","https://openalex.org/W2091694262","https://openalex.org/W2035867048","https://openalex.org/W2108388807","https://openalex.org/W2010624991","https://openalex.org/W2095725076"],"abstract_inverted_index":{"Real-time":[0],"Positron":[1],"Emission":[2],"Tomography":[3],"(PET)":[4],"has":[5],"the":[6,59,91,94,107,111,117,121,125,133,144,174],"potential":[7],"to":[8,53,106,131],"become":[9],"a":[10],"new":[11],"imaging":[12,51],"tool":[13],"providing":[14],"useful":[15],"information,":[16],"such":[17,159],"as":[18,160],"first-shot":[19],"images,":[20],"medical":[21],"interventions":[22],"guidance,":[23],"information":[24],"about":[25],"patient":[26],"position":[27],"and":[28,30,76,103,129,180],"motion,":[29],"feedback":[31],"during":[32],"acquisition.":[33],"Fully-3D":[34],"iterative":[35],"reconstruction":[36,87],"methods":[37,63,158],"in":[38,143],"PET":[39],"provide":[40,170],"accurate":[41,140],"results,":[42],"but":[43,71],"they":[44,72],"cannot":[45],"be":[46,101,153],"used":[47,130],"for":[48,67],"real":[49,68],"time":[50,69,183],"due":[52],"their":[54],"long":[55],"computational":[56,182],"time.":[57],"On":[58],"other":[60],"hand,":[61],"analytical":[62,157],"are":[64],"fast":[65,102],"enough":[66],"applications,":[70],"exhibit":[73],"poor":[74],"resolution":[75,141],"artifacts":[77],"with":[78,139,155,181,185],"noisy":[79],"or":[80,164],"incomplete":[81],"data.":[82],"We":[83],"propose":[84],"an":[85],"alternative":[86],"method":[88],"based":[89],"on":[90],"pseudoinverse":[92],"of":[93,110,114,124],"System":[95],"Response":[96],"Matrices":[97],"(SRM),":[98],"which":[99],"can":[100,152],"accurate.":[104],"Due":[105],"large":[108],"size":[109],"SRM,":[112],"instead":[113],"pseudo":[115],"inverting":[116],"fully":[118],"3D-SRM,":[119],"only":[120],"axial":[122,145],"part":[123],"SRM":[126],"is":[127],"pseudoinverted":[128],"rebin":[132],"3D":[134],"data":[135],"into":[136],"2D":[137,150],"datasets":[138,151],"recovery":[142],"direction.":[146],"The":[147],"resulting":[148],"rebinned":[149],"reconstructed":[154],"standard":[156,175],"Filtered":[161],"Back-Projection":[162],"(FBP),":[163],"another":[165],"in-plane":[166],"pseudoinverse.":[167],"Our":[168],"results":[169,172],"better":[171],"than":[173],"Single":[176],"Slice":[177],"ReBinning":[178],"(SSRB),":[179],"compatible":[184],"real-time":[186],"applications.":[187]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2018-11-29T00:00:00"}