{"id":"https://openalex.org/W2091531059","doi":"https://doi.org/10.1002/ima.22112","title":"Attenuating noise from computed tomography medical images using a coefficients\u2010driven total variation denoising algorithm","display_name":"Attenuating noise from computed tomography medical images using a coefficients\u2010driven total variation denoising algorithm","publication_year":2014,"publication_date":"2014-11-18","ids":{"openalex":"https://openalex.org/W2091531059","doi":"https://doi.org/10.1002/ima.22112","mag":"2091531059"},"language":"en","primary_location":{"id":"doi:10.1002/ima.22112","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.22112","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"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":"International Journal of Imaging Systems and Technology","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/A5021087905","display_name":"Zohair Al\u2010Ameen","orcid":"https://orcid.org/0000-0003-3630-2134"},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Zohair Al\u2010Ameen","raw_affiliation_strings":["UTM\u2010IRDA Digital Media Centre (MaGIC\u2010X) Department of Software Engineering Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia"],"affiliations":[{"raw_affiliation_string":"UTM\u2010IRDA Digital Media Centre (MaGIC\u2010X) Department of Software Engineering Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia","institution_ids":["https://openalex.org/I4576418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031136250","display_name":"Ghazali Sulong","orcid":null},"institutions":[{"id":"https://openalex.org/I4576418","display_name":"University of Technology Malaysia","ror":"https://ror.org/026w31v75","country_code":"MY","type":"education","lineage":["https://openalex.org/I4576418"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Ghazali Sulong","raw_affiliation_strings":["UTM\u2010IRDA Digital Media Centre (MaGIC\u2010X) Department of Software Engineering Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia"],"affiliations":[{"raw_affiliation_string":"UTM\u2010IRDA Digital Media Centre (MaGIC\u2010X) Department of Software Engineering Faculty of Computing Universiti Teknologi Malaysia 81310 UTM Skudai Johor Malaysia","institution_ids":["https://openalex.org/I4576418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021087905"],"corresponding_institution_ids":["https://openalex.org/I4576418"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76699046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"4","first_page":"350","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9954000115394592,"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/noise-reduction","display_name":"Noise reduction","score":0.7563716173171997},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7187789082527161},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6515599489212036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5993635654449463},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5446760654449463},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.5100205540657043},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4985806941986084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.475778728723526},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.46434977650642395},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45123276114463806},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4296590983867645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3753153681755066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35357534885406494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30167943239212036}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7563716173171997},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7187789082527161},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6515599489212036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5993635654449463},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5446760654449463},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.5100205540657043},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4985806941986084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.475778728723526},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46434977650642395},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45123276114463806},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4296590983867645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3753153681755066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35357534885406494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30167943239212036},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/ima.22112","is_oa":false,"landing_page_url":"https://doi.org/10.1002/ima.22112","pdf_url":null,"source":{"id":"https://openalex.org/S15952048","display_name":"International Journal of Imaging Systems and Technology","issn_l":"0899-9457","issn":["0899-9457","1098-1098"],"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":"International Journal of Imaging Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2408661956","display_name":null,"funder_award_id":"R.J130000.2528.03H70","funder_id":"https://openalex.org/F4320323300","funder_display_name":"Universiti Teknologi Malaysia"}],"funders":[{"id":"https://openalex.org/F4320323300","display_name":"Universiti Teknologi Malaysia","ror":"https://ror.org/026w31v75"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1502652230","https://openalex.org/W1541701412","https://openalex.org/W1579559187","https://openalex.org/W1964859077","https://openalex.org/W1972841792","https://openalex.org/W1979261386","https://openalex.org/W1981608734","https://openalex.org/W2001605855","https://openalex.org/W2005089986","https://openalex.org/W2009265594","https://openalex.org/W2015970499","https://openalex.org/W2019446074","https://openalex.org/W2029630915","https://openalex.org/W2061613226","https://openalex.org/W2066072428","https://openalex.org/W2087836341","https://openalex.org/W2093072099","https://openalex.org/W2101756213","https://openalex.org/W2101843864","https://openalex.org/W2103559027","https://openalex.org/W2117406282","https://openalex.org/W2121401617","https://openalex.org/W2122192562","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2137236456","https://openalex.org/W2137969878","https://openalex.org/W2144275666","https://openalex.org/W2147740017","https://openalex.org/W2152609903","https://openalex.org/W2164566125","https://openalex.org/W2184758506","https://openalex.org/W2252776004","https://openalex.org/W3101421731","https://openalex.org/W4242900561","https://openalex.org/W6793612028"],"related_works":["https://openalex.org/W2604739415","https://openalex.org/W2024870403","https://openalex.org/W2009935520","https://openalex.org/W2247123352","https://openalex.org/W4210692026","https://openalex.org/W2150358707","https://openalex.org/W2415793911","https://openalex.org/W1993126945","https://openalex.org/W2036292001","https://openalex.org/W2183198546"],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,23,85,182],"aim":[2],"of":[3,41,47,143,152],"image":[4,12,96,133,199],"denoising":[5,65],"is":[6,51,67,147],"to":[7,31,72],"recover":[8],"a":[9,52,58,81,108,117,121,124],"visually":[10],"accepted":[11],"from":[13,76,93],"its":[14],"noisy":[15,156],"observation":[16],"with":[17],"as":[18,21],"much":[19],"detail":[20],"possible.":[22],"noise":[24,75,92,101,138,191],"exists":[25],"in":[26,69,190,195],"computed":[27],"tomography":[28],"images":[29,78,161],"due":[30],"hardware":[32],"errors,":[33],"software":[34],"faults":[35],"and/or":[36],"low":[37,126],"radiation":[38],"dose.":[39],"Because":[40],"noise,":[42],"the":[43,62,74,94,113,131,137,141,144,150,159,197,202,211],"analysis":[44],"and":[45,79,104,129,154,177],"extraction":[46],"accurate":[48],"medical":[49],"information":[50],"challenging":[53],"task":[54],"for":[55],"specialists.":[56],"Therefore,":[57],"novel":[59,109],"modification":[60],"on":[61],"total":[63],"variational":[64],"algorithm":[66,88,115,146,204],"proposed":[68,114,145,203],"this":[70],"article":[71],"attenuate":[73],"CT":[77],"provide":[80],"better":[82],"visual":[83],"quality.":[84],"newly":[86],"developed":[87],"can":[89],"properly":[90],"detect":[91],"other":[95],"components":[97],"using":[98,107],"four":[99],"new":[100],"distinguishing":[102],"coefficients":[103],"reduce":[105],"it":[106],"minimization":[110],"function.":[111],"Moreover,":[112],"has":[116],"fast":[118],"computation":[119],"speed,":[120],"simple":[122],"structure,":[123],"relatively":[125],"computational":[127],"cost":[128],"preserves":[130],"small":[132],"details":[134],"while":[135],"reducing":[136],"efficiently.":[139],"Evaluating":[140],"performance":[142],"achieved":[148],"through":[149],"use":[151],"synthetic":[153,160],"real":[155],"images.":[157],"Likewise,":[158],"are":[162],"appraised":[163],"by":[164],"three":[165],"advanced":[166],"accuracy":[167],"methods":[168],"\u2013Gradient":[169],"Magnitude":[170],"Similarity":[171,175],"Deviation":[172],"(GMSD),":[173],"Structural":[174],"(SSIM)":[176],"Weighted":[178],"Signal\u2010to\u2010Noise":[179],"Ratio":[180],"(WSNR).":[181],"empirical":[183],"results":[184,207],"exhibited":[185],"significant":[186],"improvement":[187],"not":[188],"only":[189],"reduction":[192],"but":[193],"also":[194],"preserving":[196],"minor":[198],"details.":[200],"Finally,":[201],"provided":[205],"satisfying":[206],"that":[208],"outperformed":[209],"all":[210],"comparative":[212],"methods.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}