{"id":"https://openalex.org/W2102738332","doi":"https://doi.org/10.1002/scj.4690170309","title":"Availability of redundancy of projection data applied to reduce the noise sensitivity of reconstructed images","display_name":"Availability of redundancy of projection data applied to reduce the noise sensitivity of reconstructed images","publication_year":1986,"publication_date":"1986-01-01","ids":{"openalex":"https://openalex.org/W2102738332","doi":"https://doi.org/10.1002/scj.4690170309","mag":"2102738332"},"language":"en","primary_location":{"id":"doi:10.1002/scj.4690170309","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690170309","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"},"type":"article","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/A5024015306","display_name":"Itsuo Kumazawa","orcid":"https://orcid.org/0000-0002-5409-2727"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Itsuo Kumazawa","raw_affiliation_strings":["Faculty of Engineering, Tokyo Institute of Technology, Tokyo, Japan 152","Faculty of Engineering, Tokyo Institute of Technology, Tokyo, Japan 152#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Tokyo Institute of Technology, Tokyo, Japan 152","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Faculty of Engineering, Tokyo Institute of Technology, Tokyo, Japan 152#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108619063","display_name":"Taizo Iijima","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taizo Iijima","raw_affiliation_strings":["Tokyo Inst. of Tech. (Japan). Faculty of Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Inst. of Tech. (Japan). Faculty of Engineering","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16019776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"3","first_page":"75","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9965000152587891,"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":0.9916999936103821,"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/redundancy","display_name":"Redundancy (engineering)","score":0.8388507962226868},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6179380416870117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.594093918800354},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5560848712921143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5489311218261719},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5226935148239136},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.49740293622016907},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4743037223815918},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.41698604822158813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38079357147216797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36922311782836914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0796491801738739}],"concepts":[{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.8388507962226868},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6179380416870117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.594093918800354},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5560848712921143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5489311218261719},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5226935148239136},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.49740293622016907},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4743037223815918},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.41698604822158813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38079357147216797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36922311782836914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0796491801738739},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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:10.1002/scj.4690170309","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690170309","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1971622337","https://openalex.org/W2004804713","https://openalex.org/W2028324062","https://openalex.org/W2039472483","https://openalex.org/W2057234680"],"related_works":["https://openalex.org/W2002428578","https://openalex.org/W2897258045","https://openalex.org/W3005646551","https://openalex.org/W2018406690","https://openalex.org/W2072332896","https://openalex.org/W2951748633","https://openalex.org/W4292309272","https://openalex.org/W2057691131","https://openalex.org/W2542042335","https://openalex.org/W2952039693"],"abstract_inverted_index":{"Abstract":[0],"Previously,":[1],"in":[2,69,92],"the":[3,13,26,36,39,46,51,54,58,64,72,77,80,98,102,107,114,118,124,128],"processing":[4],"of":[5,38,53,57,79,127],"CT":[6],"projection":[7,40],"data,":[8],"it":[9,22],"was":[10,90],"assumed":[11],"that":[12,25,45],"measured":[14],"values":[15],"are":[16,132],"independent":[17],"at":[18],"each":[19],"point.":[20],"Here":[21],"is":[23,34,43,48,76,104],"shown":[24,44],"actual":[27],"data":[28],"have":[29],"a":[30,93],"dependent":[31],"property,":[32],"which":[33,75,89],"called":[35],"redundancy":[37,47],"data.":[41],"It":[42],"effective":[49],"for":[50],"reduction":[52],"noise":[55,99],"sensitivity":[56,100],"reconstruction":[59,82,85],"formula.":[60],"This":[61],"paper":[62,95],"evaluates":[63],"effect":[65],"qualitatively":[66],"and":[67],"experimentally":[68],"comparison":[70,112,126],"with":[71,106,113],"convolution":[73,108],"method,":[74],"mainstream":[78],"present":[81],"procedure.":[83],"The":[84,110],"formula":[86],"(formula":[87],"II),":[88],"derived":[91],"previous":[94],"to":[96],"reduce":[97],"utilizing":[101],"redundancy,":[103],"compared":[105],"method.":[109],"analytical":[111],"mean\u2010square":[115],"error":[116],"as":[117,121,123],"evaluation":[119],"measure,":[120],"well":[122],"visual":[125],"actually":[129],"reconstructed":[130],"examples,":[131],"performed.":[133]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
