{"id":"https://openalex.org/W2756035228","doi":"https://doi.org/10.1109/embc.2017.8036889","title":"Non-local means filter denoising for DEXA images","display_name":"Non-local means filter denoising for DEXA images","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2756035228","doi":"https://doi.org/10.1109/embc.2017.8036889","mag":"2756035228","pmid":"https://pubmed.ncbi.nlm.nih.gov/29059937"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8036889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8036889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5022092645","display_name":"Mugahed A. Al\u2013antari","orcid":"https://orcid.org/0000-0002-4457-4407"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"M. A. Al-antari","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035247809","display_name":"Mohammed A. Al\u2010masni","orcid":"https://orcid.org/0000-0002-1548-965X"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"M. A. Al-masni","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110084239","display_name":"Mohamed K. Metwally","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Metwally","raw_affiliation_strings":["B. M. Tech Worldwide Ltd. Co., Republic of Korea"],"affiliations":[{"raw_affiliation_string":"B. M. Tech Worldwide Ltd. Co., Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"D. Hussain","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"D. Hussain","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":null,"display_name":"E. Valarezo","orcid":null},"institutions":[{"id":"https://openalex.org/I2135383","display_name":"Escuela Superior Politecnica del Litoral","ror":"https://ror.org/04qenc566","country_code":"EC","type":"education","lineage":["https://openalex.org/I2135383"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"E. Valarezo","raw_affiliation_strings":["Department of Biomedical Engineering, Escuela Superior Politecnica del Litoral, ESPOL, Guayaquil, Ecuador"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Escuela Superior Politecnica del Litoral, ESPOL, Guayaquil, Ecuador","institution_ids":["https://openalex.org/I2135383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084726485","display_name":"Patricio Rivera","orcid":"https://orcid.org/0000-0001-6440-5478"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"P. Rivera","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042506641","display_name":"G. Gi","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"G. Gi","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067135981","display_name":"J. M. Park","orcid":"https://orcid.org/0009-0008-5592-3925"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"J. M. Park","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061082303","display_name":"Tae\u2010Yop Kim","orcid":"https://orcid.org/0000-0003-0806-8969"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"T. Y. Kim","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090251777","display_name":"S.-J. Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S.-J. Park","raw_affiliation_strings":["B. M. Tech Worldwide Ltd. Co., Republic of Korea"],"affiliations":[{"raw_affiliation_string":"B. M. Tech Worldwide Ltd. Co., Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113527982","display_name":"Jongmin Shin","orcid":"https://orcid.org/0009-0009-8337-7260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J.-S. Shin","raw_affiliation_strings":["B. M. Tech Worldwide Ltd. Co., Republic of Korea"],"affiliations":[{"raw_affiliation_string":"B. M. Tech Worldwide Ltd. Co., Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025646524","display_name":"Sola Han","orcid":"https://orcid.org/0000-0002-6269-172X"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"S.-M. Han","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111994846","display_name":"T.-S. Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"T.-S. Kim","raw_affiliation_strings":["Department of Biomedical Engineering, Kyung Hee University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kyung Hee University, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5022092645"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.8595,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75127762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2017","issue":null,"first_page":"572","last_page":"575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7405998110771179},{"id":"https://openalex.org/keywords/imaging-phantom","display_name":"Imaging phantom","score":0.6573427319526672},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5492987632751465},{"id":"https://openalex.org/keywords/dual-energy","display_name":"Dual energy","score":0.5407602190971375},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5176406502723694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5132691860198975},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4859713315963745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4826274812221527},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.46812736988067627},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4581027030944824},{"id":"https://openalex.org/keywords/bone-mineral","display_name":"Bone mineral","score":0.45415085554122925},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4314742386341095},{"id":"https://openalex.org/keywords/dual-energy-x-ray-absorptiometry","display_name":"Dual-energy X-ray absorptiometry","score":0.42278623580932617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.355643093585968},{"id":"https://openalex.org/keywords/osteoporosis","display_name":"Osteoporosis","score":0.3366689682006836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3262789845466614},{"id":"https://openalex.org/keywords/nuclear-medicine","display_name":"Nuclear medicine","score":0.24505925178527832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23468127846717834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18610677123069763},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13234230875968933},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0562153160572052},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.05599278211593628}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7405998110771179},{"id":"https://openalex.org/C104293457","wikidata":"https://www.wikidata.org/wiki/Q28324852","display_name":"Imaging phantom","level":2,"score":0.6573427319526672},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5492987632751465},{"id":"https://openalex.org/C2994545362","wikidata":"https://www.wikidata.org/wiki/Q245341","display_name":"Dual energy","level":4,"score":0.5407602190971375},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5176406502723694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5132691860198975},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4859713315963745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4826274812221527},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.46812736988067627},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4581027030944824},{"id":"https://openalex.org/C2776886416","wikidata":"https://www.wikidata.org/wiki/Q4941567","display_name":"Bone mineral","level":3,"score":0.45415085554122925},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4314742386341095},{"id":"https://openalex.org/C2781440623","wikidata":"https://www.wikidata.org/wiki/Q444351","display_name":"Dual-energy X-ray absorptiometry","level":4,"score":0.42278623580932617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.355643093585968},{"id":"https://openalex.org/C2776541429","wikidata":"https://www.wikidata.org/wiki/Q165328","display_name":"Osteoporosis","level":2,"score":0.3366689682006836},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3262789845466614},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.24505925178527832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23468127846717834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18610677123069763},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13234230875968933},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0562153160572052},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.05599278211593628},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D015502","descriptor_name":"Absorptiometry, Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015502","descriptor_name":"Absorptiometry, Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015502","descriptor_name":"Absorptiometry, Photon","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019047","descriptor_name":"Phantoms, Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2017.8036889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8036889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29059937","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29059937","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1575994562","https://openalex.org/W1964458689","https://openalex.org/W2000878199","https://openalex.org/W2002611249","https://openalex.org/W2020502007","https://openalex.org/W2044425355","https://openalex.org/W2069420582","https://openalex.org/W2097073572","https://openalex.org/W2107490395","https://openalex.org/W2122476880","https://openalex.org/W2131375018","https://openalex.org/W2142848381","https://openalex.org/W2151588937","https://openalex.org/W2192569879","https://openalex.org/W4401439146","https://openalex.org/W6650983816","https://openalex.org/W6848405346"],"related_works":["https://openalex.org/W2762342566","https://openalex.org/W2049589980","https://openalex.org/W1967710397","https://openalex.org/W1653692104","https://openalex.org/W2899285060","https://openalex.org/W2039767139","https://openalex.org/W2321339661","https://openalex.org/W3028807460","https://openalex.org/W4394819626","https://openalex.org/W1989690235"],"abstract_inverted_index":{"Dual":[0,7],"high":[1,50,79,159,174],"and":[2,35,51,67,80,103,133,143,160,169,171,175,185],"low":[3,52,81,161,176],"energy":[4,53,82],"images":[5,27,83,96,138,163,179],"of":[6,19,22,49,61,63,84,93,106,113,139,153,167,183],"Energy":[8],"X-ray":[9],"Absorptiometry":[10],"(DEXA)":[11],"suffer":[12],"from":[13,46,125],"noises":[14,105],"due":[15],"to":[16,33],"the":[17,59,111,114,122,136,140,151,158,165,173,181],"use":[18],"weak":[20],"amount":[21],"X-rays.":[23],"Denoising":[24],"these":[25],"DEXA":[26,85,95,108,137,203],"could":[28,56,195],"be":[29,196],"a":[30,37,47,74,107,197],"key":[31,198],"process":[32,200],"enhance":[34],"improve":[36,58],"Bone":[38],"Mineral":[39],"Density":[40],"(BMD)":[41],"map":[42],"which":[43],"is":[44,97,131],"derived":[45],"pair":[48],"images.":[54],"This":[55],"further":[57],"accuracy":[60],"diagnosis":[62],"bone":[64],"fractures,":[65],"osteoporosis,":[66],"etc.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"present":[73],"denoising":[75,120,192],"technique":[76],"for":[77,119,157,172,201],"dual":[78,94],"via":[86,193],"non-local":[87],"means":[88],"filter":[89],"(NLMF).":[90],"The":[91,128,147],"noise":[92],"modeled":[98],"based":[99],"on":[100,164,180],"both":[101],"source":[102],"detector":[104],"system.":[109],"Then,":[110],"parameters":[112],"proposed":[115],"NLMF":[116,130,194],"are":[117],"optimized":[118,129],"utilizing":[121],"experimental":[123],"data":[124],"uniform":[126,141],"phantoms.":[127],"tested":[132],"verified":[134],"with":[135],"phantoms":[142],"real":[144,177],"human":[145],"spine.":[146],"quantitative":[148],"evaluation":[149],"shows":[150],"improvement":[152],"Signal-to-Noise":[154],"Ratio":[155],"(SNR)":[156],"phantom":[162],"order":[166,182],"30.36%":[168],"27.02%":[170],"spine":[178],"22.28%":[184],"33.43%,":[186],"respectively.":[187],"Our":[188],"work":[189],"suggests":[190],"that":[191],"preprocessing":[199],"clinical":[202],"imaging.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}