{"id":"https://openalex.org/W2694761009","doi":"https://doi.org/10.1109/isbi.2017.7950465","title":"Pseudo-polar reconstruction for tomography","display_name":"Pseudo-polar reconstruction for tomography","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2694761009","doi":"https://doi.org/10.1109/isbi.2017.7950465","mag":"2694761009"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1307591","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048892086","display_name":"Shahar Tsiper","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Shahar Tsiper","raw_affiliation_strings":["Technion \u2014 Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion \u2014 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005913897","display_name":"Yonina C. Eldar","orcid":"https://orcid.org/0000-0003-4358-5304"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yonina C. Eldar","raw_affiliation_strings":["Technion \u2014 Israel Institute of Technology, Haifa, Israel"],"affiliations":[{"raw_affiliation_string":"Technion \u2014 Israel Institute of Technology, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048892086"],"corresponding_institution_ids":["https://openalex.org/I174306211"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09359558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"51"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9998000264167786,"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/T11183","display_name":"Advanced X-ray Imaging Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radon-transform","display_name":"Radon transform","score":0.7364407777786255},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.6409091353416443},{"id":"https://openalex.org/keywords/radon","display_name":"Radon","score":0.5834559798240662},{"id":"https://openalex.org/keywords/tomographic-reconstruction","display_name":"Tomographic reconstruction","score":0.5760622620582581},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.5653243064880371},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5425851941108704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5199812054634094},{"id":"https://openalex.org/keywords/tomography","display_name":"Tomography","score":0.5109821557998657},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.48558396100997925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4723152816295624},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.4681318998336792},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4340878427028656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3001348376274109},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.29232853651046753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26899242401123047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2516692876815796},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2514950633049011},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12974733114242554},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11959487199783325}],"concepts":[{"id":"https://openalex.org/C197231052","wikidata":"https://www.wikidata.org/wiki/Q979829","display_name":"Radon transform","level":2,"score":0.7364407777786255},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.6409091353416443},{"id":"https://openalex.org/C545943180","wikidata":"https://www.wikidata.org/wiki/Q1133","display_name":"Radon","level":2,"score":0.5834559798240662},{"id":"https://openalex.org/C97742081","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Tomographic reconstruction","level":3,"score":0.5760622620582581},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5653243064880371},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5425851941108704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5199812054634094},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.5109821557998657},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.48558396100997925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4723152816295624},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.4681318998336792},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4340878427028656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3001348376274109},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.29232853651046753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26899242401123047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2516692876815796},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2514950633049011},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12974733114242554},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11959487199783325},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2017.7950465","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1307591","is_oa":true,"landing_page_url":"https://zenodo.org/record/1307591","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1307591","is_oa":true,"landing_page_url":"https://zenodo.org/record/1307591","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W562372631","https://openalex.org/W649866511","https://openalex.org/W1556473642","https://openalex.org/W1968190523","https://openalex.org/W1972150100","https://openalex.org/W2046470130","https://openalex.org/W2059596616","https://openalex.org/W2103193587","https://openalex.org/W2103559027","https://openalex.org/W2149400409","https://openalex.org/W2165187677","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3110126359","https://openalex.org/W2079352884","https://openalex.org/W2088160757","https://openalex.org/W2062970329","https://openalex.org/W2982317495","https://openalex.org/W2088308468","https://openalex.org/W170151271","https://openalex.org/W2017732498","https://openalex.org/W2947117330","https://openalex.org/W2295596929"],"abstract_inverted_index":{"We":[0,82,114],"propose":[1],"a":[2,29,43,119],"stable":[3],"and":[4,21,52,54,101,126],"fast":[5,51],"reconstruction":[6],"technique":[7],"for":[8],"parallel-beam":[9],"(PB)":[10],"tomographic":[11,67],"X-Ray":[12],"imaging,":[13],"relying":[14],"on":[15,33,88,145],"the":[16,39,59,66,89,98,104,110,146],"discrete":[17],"pseudo-polar":[18],"(PP)":[19],"Radon":[20,106,112],"PP":[22,44,90,105],"Fourier":[23],"transforms.":[24],"Our":[25,130],"main":[26],"contribution":[27],"is":[28,49,132],"resampling":[30,47],"method,":[31],"based":[32],"modern":[34],"sampling":[35],"theory,":[36],"that":[37,84,142],"transforms":[38],"PB":[40,111,123,147],"measurements":[41,71,87],"to":[42,93,97,134],"grid.":[45],"The":[46,69],"process":[48],"both":[50],"accurate,":[53],"in":[55],"addition,":[56],"simultaneously":[57],"denoises":[58],"measurements,":[60],"by":[61],"exploiting":[62],"geometrical":[63],"properties":[64],"of":[65,103,122],"scan.":[68],"transformed":[70],"are":[72],"then":[73],"reconstructed":[74],"using":[75],"an":[76],"iterative":[77],"solver":[78],"with":[79,109,127],"TV":[80],"regularization.":[81],"show":[83],"reconstructing":[85],"from":[86,118],"grid,":[91],"leads":[92],"improved":[94],"recovery,":[95],"due":[96],"inherent":[99],"stability":[100],"accuracy":[102],"transform,":[107],"compared":[108],"transform.":[113],"also":[115],"demonstrate":[116],"recovery":[117],"reduced":[120],"number":[121],"acquisition":[124],"angles":[125],"SNR":[128],"measurements.":[129,148],"approach":[131],"shown":[133],"achieve":[135],"superior":[136],"results":[137],"over":[138],"other":[139],"state-of-the-art":[140],"solutions,":[141],"operate":[143],"directly":[144]},"counts_by_year":[],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2017-06-30T00:00:00"}
