{"id":"https://openalex.org/W2400646860","doi":"https://doi.org/10.1109/tbme.2015.2486042","title":"A New Feature-Enhanced Speckle Reduction Method Based on Multiscale Analysis for Ultrasound B-Mode Imaging","display_name":"A New Feature-Enhanced Speckle Reduction Method Based on Multiscale Analysis for Ultrasound B-Mode Imaging","publication_year":2015,"publication_date":"2015-10-02","ids":{"openalex":"https://openalex.org/W2400646860","doi":"https://doi.org/10.1109/tbme.2015.2486042","mag":"2400646860","pmid":"https://pubmed.ncbi.nlm.nih.gov/26441443"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2015.2486042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2015.2486042","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-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/A5014318113","display_name":"Jinbum Kang","orcid":"https://orcid.org/0000-0003-3851-742X"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinbum Kang","raw_affiliation_strings":["Department of Electronic Engineering, Sogang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Sogang University","institution_ids":["https://openalex.org/I148751991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350932","display_name":"Jae Young Lee","orcid":"https://orcid.org/0000-0001-6946-6042"},"institutions":[{"id":"https://openalex.org/I2802835388","display_name":"Seoul National University Hospital","ror":"https://ror.org/01z4nnt86","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I139264467","https://openalex.org/I2802835388"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Young Lee","raw_affiliation_strings":["Department of Radiology, Seoul National University Hospital"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Seoul National University Hospital","institution_ids":["https://openalex.org/I2802835388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047213331","display_name":"Yangmo Yoo","orcid":"https://orcid.org/0000-0001-8952-6444"},"institutions":[{"id":"https://openalex.org/I148751991","display_name":"Sogang University","ror":"https://ror.org/056tn4839","country_code":"KR","type":"education","lineage":["https://openalex.org/I148751991"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yangmo Yoo","raw_affiliation_strings":["Department of Electronic Engineering and the Interdisciplinary Program of Integrated Biotechnology, Sogang University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and the Interdisciplinary Program of Integrated Biotechnology, Sogang University, Seoul, Korea","institution_ids":["https://openalex.org/I148751991"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3059,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96341143,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"63","issue":"6","first_page":"1178","last_page":"1191"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.998199999332428,"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":0.998199999332428,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9969000220298767,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.8568499088287354},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7064076662063599},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.6141024827957153},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6089352369308472},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47253870964050293},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46020597219467163},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4571426510810852},{"id":"https://openalex.org/keywords/contrast-to-noise-ratio","display_name":"Contrast-to-noise ratio","score":0.42554277181625366},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4211658537387848},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.41718733310699463},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41578811407089233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39693373441696167},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3725910484790802},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18801498413085938},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18129661679267883},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11139166355133057}],"concepts":[{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.8568499088287354},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7064076662063599},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.6141024827957153},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6089352369308472},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47253870964050293},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46020597219467163},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4571426510810852},{"id":"https://openalex.org/C86190813","wikidata":"https://www.wikidata.org/wiki/Q5165749","display_name":"Contrast-to-noise ratio","level":4,"score":0.42554277181625366},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4211658537387848},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.41718733310699463},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41578811407089233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39693373441696167},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3725910484790802},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18801498413085938},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18129661679267883},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11139166355133057},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007668","descriptor_name":"Kidney","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013961","descriptor_name":"Thyroid Gland","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013961","descriptor_name":"Thyroid Gland","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D013961","descriptor_name":"Thyroid Gland","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014463","descriptor_name":"Ultrasonography","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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/tbme.2015.2486042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2015.2486042","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:26441443","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26441443","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5557199280","display_name":null,"funder_award_id":"2014066284","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W111430742","https://openalex.org/W576506256","https://openalex.org/W1543214292","https://openalex.org/W1561075814","https://openalex.org/W1976708251","https://openalex.org/W1984431152","https://openalex.org/W1989226753","https://openalex.org/W1992753883","https://openalex.org/W2001002651","https://openalex.org/W2004928853","https://openalex.org/W2007507694","https://openalex.org/W2014383859","https://openalex.org/W2017571932","https://openalex.org/W2056373620","https://openalex.org/W2057055375","https://openalex.org/W2059275471","https://openalex.org/W2068075086","https://openalex.org/W2070626824","https://openalex.org/W2072596323","https://openalex.org/W2072915164","https://openalex.org/W2077158317","https://openalex.org/W2085148278","https://openalex.org/W2094330246","https://openalex.org/W2095004529","https://openalex.org/W2096413230","https://openalex.org/W2099168648","https://openalex.org/W2099232332","https://openalex.org/W2103015025","https://openalex.org/W2103504761","https://openalex.org/W2106432284","https://openalex.org/W2106604316","https://openalex.org/W2115310626","https://openalex.org/W2126424769","https://openalex.org/W2128004102","https://openalex.org/W2130094715","https://openalex.org/W2130622335","https://openalex.org/W2133059825","https://openalex.org/W2133279414","https://openalex.org/W2133363710","https://openalex.org/W2133665775","https://openalex.org/W2137432029","https://openalex.org/W2142073807","https://openalex.org/W2145823319","https://openalex.org/W2147985697","https://openalex.org/W2150134853","https://openalex.org/W2150737937","https://openalex.org/W2153624711","https://openalex.org/W2156722185","https://openalex.org/W2162199993","https://openalex.org/W2164822588","https://openalex.org/W2170271483","https://openalex.org/W2170506264","https://openalex.org/W2171857449","https://openalex.org/W2242047952","https://openalex.org/W4244901367","https://openalex.org/W4255364013","https://openalex.org/W6616667792","https://openalex.org/W6652545707","https://openalex.org/W6658415417"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2121688719","https://openalex.org/W2016481886","https://openalex.org/W2366558118","https://openalex.org/W2055824452","https://openalex.org/W2727313114"],"abstract_inverted_index":{"GOAL:":[0],"Effective":[1],"speckle":[2,30,76,100,110,115,189,298],"reduction":[3,31,111,190],"in":[4,19,94,153,175,222,262],"ultrasound":[5,45,285],"B-mode":[6,46,181,286],"imaging":[7,287],"is":[8,42],"important":[9],"for":[10,44,197,212,265],"enhancing":[11,289],"the":[12,17,83,86,125,135,142,146,176,187,213,219,233,238,248,259,266,275,281,290],"image":[13,20,282],"quality":[14,283],"and":[15,22,38,54,64,103,130,134,150,171,229,235,268],"improving":[16],"accuracy":[18],"analysis":[21,37],"interpretation.":[23],"In":[24,48,82],"this":[25],"paper,":[26],"a":[27,209],"new":[28],"feature-enhanced":[29],"(FESR)":[32],"method":[33,89,144,240,250,261,278],"based":[34,199],"on":[35,200],"multiscale":[36,121],"feature":[39],"enhancement":[40,66],"filtering":[41,67],"proposed":[43,87,276],"imaging.":[47],"FESR,":[49],"clinical":[50],"features":[51,294],"(e.g.,":[52],"boundaries":[53],"borders":[55],"of":[56,155,224,284,292],"lesions)":[57],"are":[58],"selectively":[59],"emphasized":[60],"by":[61,194,288],"edge,":[62],"coherence,":[63],"contrast":[65],"from":[68],"fine":[69],"to":[70],"coarse":[71],"scales":[72],"while":[73,295],"simultaneously":[74],"suppressing":[75,297],"development":[77],"via":[78],"robust":[79],"diffusion":[80,118,123,129],"filtering.":[81],"simulation":[84],"study,":[85,178],"FESR":[88,143,220,239,249,277],"showed":[90,208,241],"statistically":[91,254],"significant":[92,210,255],"improvements":[93],"edge":[95],"preservation,":[96],"mean":[97],"structure":[98],"similarity,":[99],"signal-to-noise":[101],"ratio,":[102],"contrast-to-noise":[104],"ratio":[105],"(CNR)":[106],"compared":[107,257],"with":[108,258],"other":[109,245],"methods,":[112],"e.g.,":[113],"oriented":[114],"reducing":[116],"anisotropic":[117],"(OSRAD),":[119],"nonlinear":[120,128],"wavelet":[122],"(NMWD),":[124],"Laplacian":[126],"pyramid-based":[127],"shock":[131],"filter":[132,139],"(LPNDSF),":[133],"Bayesian":[136],"nonlocal":[137],"means":[138],"(OBNLM).":[140],"Similarly,":[141],"outperformed":[145],"OSRAD,":[147],"NMWD,":[148],"LPNDSF,":[149],"OBNLM":[151,260],"methods":[152,191,221],"terms":[154,223],"CNR,":[156],"i.e.,":[157],"10.70":[158],"\u00b1":[159,163,166,169,173],"0.06":[160,174],"versus":[161],"9.00":[162],"0.06,":[164,167],"9.78":[165],"8.67":[168],"0.04,":[170],"9.22":[172],"phantom":[177],"respectively.":[179],"Reconstructed":[180],"images":[182,216],"that":[183,274],"were":[184,192],"developed":[185],"using":[186,218],"five":[188],"reviewed":[193],"three":[195,206],"radiologists":[196,207],"evaluation":[198],"each":[201],"radiologist's":[202],"diagnostic":[203],"preferences.":[204],"All":[205],"preference":[211],"abdominal":[214],"liver":[215],"obtained":[217],"conspicuity,":[225],"margin":[226,263],"sharpness,":[227],"artificiality,":[228],"contrast,":[230],"p<0.0001.":[231],"For":[232],"kidney":[234,267],"thyroid":[236,269],"images,":[237],"similar":[242],"improvement":[243,256],"over":[244],"methods.":[246],"However,":[247],"did":[251],"not":[252],"show":[253],"sharpness":[264],"images.":[270],"These":[271],"results":[272],"demonstrate":[273],"can":[279],"improve":[280],"visualization":[291],"lesion":[293],"effectively":[296],"noise.":[299]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
