{"id":"https://openalex.org/W4289705369","doi":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","title":"THE REDUCTION OF METAL ARTIFACTS USING BAND PASS MEDIAN FILTER ON HEAD CT SCAN","display_name":"THE REDUCTION OF METAL ARTIFACTS USING BAND PASS MEDIAN FILTER ON HEAD CT SCAN","publication_year":2022,"publication_date":"2022-07-30","ids":{"openalex":"https://openalex.org/W4289705369","doi":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23"},"language":"en","primary_location":{"id":"doi:10.20473/jvhs.v6.i1.2022.17-23","doi":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","is_oa":true,"landing_page_url":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","pdf_url":"https://e-journal.unair.ac.id/JVHS/article/download/24182/22041","source":{"id":"https://openalex.org/S4210186631","display_name":"Journal Of Vocational Health Studies","issn_l":"2580-7161","issn":["2580-7161","2580-717X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315151","host_organization_name":"Airlangga University","host_organization_lineage":["https://openalex.org/P4310315151"],"host_organization_lineage_names":["Airlangga University"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Vocational Health Studies","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://e-journal.unair.ac.id/JVHS/article/download/24182/22041","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028588901","display_name":"Nimas Rokhmatik Dayyana","orcid":"https://orcid.org/0000-0002-4118-2299","observed_orcids":["https://orcid.org/0000-0002-4118-2299"]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Nimas Rokhmatik Dayyana","raw_affiliation_strings":["Department of Health, Faculty of Vocational Studies, Universitas Airlangga, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-4118-2299","affiliations":[{"raw_affiliation_string":"Department of Health, Faculty of Vocational Studies, Universitas Airlangga, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Pramono","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210093648","display_name":"Rumah Sakit Dokter Soetomo","ror":"https://ror.org/0067q8j88","country_code":"ID","type":"healthcare","lineage":["https://openalex.org/I4210093648"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Pramono","raw_affiliation_strings":["Department of Radiology, Dr. Soetomo Hospital, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Dr. Soetomo Hospital, Indonesia","institution_ids":["https://openalex.org/I4210093648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062457998","display_name":"Khusnul Ain","orcid":"https://orcid.org/0000-0002-8315-7067","observed_orcids":["https://orcid.org/0000-0002-8315-7067"]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Khusnul Ain","raw_affiliation_strings":["Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-8315-7067","affiliations":[{"raw_affiliation_string":"Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036876158","display_name":"Amillia Kartika Sari","orcid":"https://orcid.org/0000-0001-9908-3974","observed_orcids":["https://orcid.org/0000-0001-9908-3974"]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Amilia Kartikasari","raw_affiliation_strings":["Department of Health, Faculty of Vocational Studies, Universitas Airlangga, Indonesia"],"raw_orcid":"https://orcid.org/0000-0001-9908-3974","affiliations":[{"raw_affiliation_string":"Department of Health, Faculty of Vocational Studies, Universitas Airlangga, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065851789","display_name":"Riky Tri Yunardi","orcid":"https://orcid.org/0000-0002-8780-1198","observed_orcids":["https://orcid.org/0000-0002-8780-1198"]},"institutions":[{"id":"https://openalex.org/I205133468","display_name":"Universitas Airlangga","ror":"https://ror.org/04ctejd88","country_code":"ID","type":"education","lineage":["https://openalex.org/I205133468"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riky Tri Yunardi","raw_affiliation_strings":["Department of Engineering, Faculty of Vocational Studies, Universitas Airlangga, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-8780-1198","affiliations":[{"raw_affiliation_string":"Department of Engineering, Faculty of Vocational Studies, Universitas Airlangga, Indonesia","institution_ids":["https://openalex.org/I205133468"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05764521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":"17","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9550999999046326,"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"}},"topics":[{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9550999999046326,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.021700000390410423,"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/T11019","display_name":"Image Enhancement Techniques","score":0.009100000374019146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metal-artifact-reduction","display_name":"metal artifact reduction","score":0.9369999766349792},{"id":"https://openalex.org/keywords/head-ct","display_name":"head CT","score":0.8709999918937683},{"id":"https://openalex.org/keywords/ct-reconstruction","display_name":"CT image reconstruction","score":0.5239999890327454},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.8119999766349792},{"id":"https://openalex.org/keywords/image-quality-assessment","display_name":"image quality assessment","score":0.5920000076293945},{"id":"https://openalex.org/keywords/diagnostic-value","display_name":"diagnostic value","score":0.39800000190734863}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6956331133842468},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.643703818321228},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5553780198097229},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47490394115448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47248998284339905},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.46737661957740784},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.44556230306625366},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4229733347892761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4133950471878052},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3665454387664795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3523103594779968},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27781420946121216},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.27646270394325256},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2679075002670288},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15660807490348816},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.20473/jvhs.v6.i1.2022.17-23","doi":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","is_oa":true,"landing_page_url":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","pdf_url":"https://e-journal.unair.ac.id/JVHS/article/download/24182/22041","source":{"id":"https://openalex.org/S4210186631","display_name":"Journal Of Vocational Health Studies","issn_l":"2580-7161","issn":["2580-7161","2580-717X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315151","host_organization_name":"Airlangga University","host_organization_lineage":["https://openalex.org/P4310315151"],"host_organization_lineage_names":["Airlangga University"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Vocational Health Studies","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a6ec20d04f874a6eb621cc92c8b19f07","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/a6ec20d04f874a6eb621cc92c8b19f07","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Vocational Health Studies, Vol 6, Iss 1, Pp 17-23 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.20473/jvhs.v6.i1.2022.17-23","doi":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","is_oa":true,"landing_page_url":"https://doi.org/10.20473/jvhs.v6.i1.2022.17-23","pdf_url":"https://e-journal.unair.ac.id/JVHS/article/download/24182/22041","source":{"id":"https://openalex.org/S4210186631","display_name":"Journal Of Vocational Health Studies","issn_l":"2580-7161","issn":["2580-7161","2580-717X"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/P4310315151","host_organization_name":"Airlangga University","host_organization_lineage":["https://openalex.org/P4310315151"],"host_organization_lineage_names":["Airlangga University"],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Vocational Health Studies","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8371999859809875,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289705369.pdf","grobid_xml":"https://content.openalex.org/works/W4289705369.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1520373250","https://openalex.org/W1600711441","https://openalex.org/W2008981181","https://openalex.org/W2043976524","https://openalex.org/W2099540110","https://openalex.org/W2130005339","https://openalex.org/W2136789364","https://openalex.org/W2175343277","https://openalex.org/W2249411341","https://openalex.org/W2293145899","https://openalex.org/W2298363967","https://openalex.org/W2331783538","https://openalex.org/W2520526731","https://openalex.org/W2580035316","https://openalex.org/W2580808159","https://openalex.org/W2594840875","https://openalex.org/W2603008229","https://openalex.org/W2619507781","https://openalex.org/W2758152490","https://openalex.org/W3153551450","https://openalex.org/W4248867608"],"related_works":["https://openalex.org/W2175343277","https://openalex.org/W7219459281","https://openalex.org/W4392647094","https://openalex.org/W4387406335","https://openalex.org/W7098818195","https://openalex.org/W1985911627","https://openalex.org/W2119468597","https://openalex.org/W2241920623","https://openalex.org/W4383651476","https://openalex.org/W1964331250"],"abstract_inverted_index":{"Background:":[0],"One":[1],"of":[2,27,50,61,84,87,120,130,136,168,175,179,208],"the":[3,7,32,44,51,54,59,62,69,77,118,124,131,134,140,166,169,172,176,187,193,199,206,209],"artifacts":[4,15,29,75,122,138],"found":[5],"on":[6,76],"CT":[8,79],"scan":[9],"is":[10,186,211],"a":[11,146,216],"metal":[12,19,28,74,121,137,228],"artifact.":[13],"Metal":[14],"are":[16],"caused":[17],"by":[18,164,226],"objects":[20],"present":[21],"in":[22],"patients\u2019":[23],"bodies.":[24],"The":[25,182,220],"file":[26],"can":[30,40],"cover":[31],"organ":[33],"that":[34,148,157,205,241],"will":[35],"be":[36,41],"evaluated,":[37],"and":[38,67,104,109,155,198,214,234,245],"it":[39,191],"inferred":[42],"with":[43,171,231],"pixel":[45,170],"value":[46,167,174,196,202],"(CT":[47],"number)":[48],"assessment":[49],"tissue":[52],"around":[53],"metal.":[55],"Purpose:":[56],"To":[57],"determine":[58],"effect":[60],"band":[63,100,141],"pass":[64,101,142],"median":[65,102,143,173],"filter":[66,71,132,144,184,189,222],"find":[68],"optimal":[70,183],"to":[72,151],"reduce":[73],"head":[78,91],"scan.":[80],"Method:":[81],"A":[82],"total":[83],"43":[85],"samples":[86],"patients\u2019s":[88],"files":[89],"from":[90,160],"CT-scan":[92],"without":[93],"any":[94],"contrast":[95],"were":[96,115,158,224],"reconstructed":[97],"using":[98,123],"four":[99,221],"filters":[103],"obtained":[105],"R1,":[106],"R2,":[107],"R5,":[108],"R10":[110],"filters.":[111],"Two":[112],"radiology":[113],"specialists":[114],"assessed":[116],"for":[117],"reduction":[119,135],"ImageJ":[125],"application.":[126],"Result:":[127],"Four":[128],"variations":[129,223],"affected":[133,225],"because":[139,190],"maintained":[145],"point":[147],"was":[149,242],"close":[150],"its":[152,161],"neighboring":[153,162,180],"points":[154,156,163],"different":[159],"replacing":[165],"grey":[177],"level":[178],"pixels.":[181],"recommendation":[185],"R1":[188],"has":[192,215],"largest":[194],"SNR":[195,233],"(16.9773)":[197],"smallest":[200],"RMSE":[201,236],"(8.57501)":[203],"so":[204],"result":[207],"image":[210,240],"more":[212,243],"informative":[213,244],"diagnostic":[217,248],"value.":[218,249],"Conclusion:":[219],"reducing":[227],"artifacts.":[229],"Images":[230],"substantial":[232],"fractional":[235],"values":[237],"produced":[238],"an":[239],"still":[246],"had":[247]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-08-04T00:00:00"}