{"id":"https://openalex.org/W2766393207","doi":"https://doi.org/10.3390/jimaging4010003","title":"Texture Based Quality Analysis of Simulated Synthetic Ultrasound Images Using Local Binary Patterns","display_name":"Texture Based Quality Analysis of Simulated Synthetic Ultrasound Images Using Local Binary Patterns","publication_year":2017,"publication_date":"2017-12-21","ids":{"openalex":"https://openalex.org/W2766393207","doi":"https://doi.org/10.3390/jimaging4010003","mag":"2766393207"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging4010003","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging4010003","pdf_url":"https://www.mdpi.com/2313-433X/4/1/3/pdf?version=1513861644","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/4/1/3/pdf?version=1513861644","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040930648","display_name":"Prerna Singh","orcid":"https://orcid.org/0000-0003-2770-9493"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Prerna Singh","raw_affiliation_strings":["Department of Computer Science and Software Engineering, University of Canterbury, Christchurch 8041, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Canterbury, Christchurch 8041, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010870517","display_name":"Ramakrishnan Mukundan","orcid":"https://orcid.org/0000-0003-4578-1931"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ramakrishnan Mukundan","raw_affiliation_strings":["Department of Computer Science and Software Engineering, University of Canterbury, Christchurch 8041, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Canterbury, Christchurch 8041, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015376533","display_name":"Rex de Ryke","orcid":"https://orcid.org/0000-0002-2577-899X"},"institutions":[{"id":"https://openalex.org/I4210159752","display_name":"Canterbury District Health Board","ror":"https://ror.org/05tqtd486","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I4210159752"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Rex De Ryke","raw_affiliation_strings":["Radiology Services, Canterbury District Health Board, Christchurch 8140, New Zealand"],"affiliations":[{"raw_affiliation_string":"Radiology Services, Canterbury District Health Board, Christchurch 8140, New Zealand","institution_ids":["https://openalex.org/I4210159752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040930648"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.8192,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82613155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":"1","first_page":"3","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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":0.9987000226974487,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.995199978351593,"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":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.7764612436294556},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.7740697264671326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.765021562576294},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.7033783197402954},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5986678600311279},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5741618275642395},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48945748805999756},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48686566948890686},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4854593873023987},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.48341357707977295},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.42188137769699097},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3642546832561493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22915494441986084},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.10259565711021423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764612436294556},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.7740697264671326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.765021562576294},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.7033783197402954},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5986678600311279},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5741618275642395},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48945748805999756},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48686566948890686},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4854593873023987},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.48341357707977295},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.42188137769699097},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3642546832561493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22915494441986084},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.10259565711021423}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/jimaging4010003","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging4010003","pdf_url":"https://www.mdpi.com/2313-433X/4/1/3/pdf?version=1513861644","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04bc1429858e4bbb92e2cdcf6f8534fa","is_oa":true,"landing_page_url":"https://doaj.org/article/04bc1429858e4bbb92e2cdcf6f8534fa","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 4, Iss 1, p 3 (2017)","raw_type":"article"},{"id":"pmh:oai:ir.canterbury.ac.nz:10092/15285","is_oa":true,"landing_page_url":"http://hdl.handle.net/10092/15285","pdf_url":null,"source":{"id":"https://openalex.org/S4306401103","display_name":"University of Canterbury Research Repository (University of Canterbury)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185492890","host_organization_name":"University of Canterbury","host_organization_lineage":["https://openalex.org/I185492890"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/jimaging4010003","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging4010003","pdf_url":"https://www.mdpi.com/2313-433X/4/1/3/pdf?version=1513861644","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2766393207.pdf","grobid_xml":"https://content.openalex.org/works/W2766393207.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W26572941","https://openalex.org/W1976315441","https://openalex.org/W1984657721","https://openalex.org/W2026434447","https://openalex.org/W2026803299","https://openalex.org/W2040903164","https://openalex.org/W2093942950","https://openalex.org/W2112020727","https://openalex.org/W2140588814","https://openalex.org/W2155662634","https://openalex.org/W2276529418","https://openalex.org/W2322695756","https://openalex.org/W2437211089","https://openalex.org/W2509060818","https://openalex.org/W2541374597","https://openalex.org/W2691788484","https://openalex.org/W2736025432","https://openalex.org/W2854650471","https://openalex.org/W4229921563","https://openalex.org/W4300899746"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2113052720","https://openalex.org/W2799624451","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2016481886"],"abstract_inverted_index":{"Speckle":[0],"noise":[1,20,40,54,97],"reduction":[2],"is":[3,120],"an":[4,183],"important":[5,113],"area":[6,87],"of":[7,12,52,74,88,115,138,147,160,163],"research":[8],"in":[9,28,39,85,94,173],"the":[10,29,72,75,86,121,132,158,174],"field":[11],"ultrasound":[13,32,91,110,118,149],"image":[14,167],"processing.":[15],"Several":[16],"algorithms":[17],"for":[18,70,123,127,166],"speckle":[19,53,96],"characterization":[21],"and":[22,59,62,93,135,156],"analysis":[23,146],"have":[24,131],"been":[25,83],"recently":[26],"proposed":[27],"area.":[30],"Synthetic":[31],"images":[33,101,119,150],"can":[34,45,63],"play":[35],"a":[36,50,161],"key":[37],"role":[38],"evaluation":[41],"methods":[42],"as":[43,104,106],"they":[44,130],"be":[46],"used":[47],"to":[48,99,108],"generate":[49],"variety":[51],"models":[55],"under":[56],"different":[57],"interpolation":[58],"sampling":[60],"schemes,":[61],"also":[64],"provide":[65,182],"valuable":[66],"ground":[67],"truth":[68],"data":[69],"estimating":[71],"accuracy":[73],"chosen":[76],"methods.":[77],"However,":[78],"not":[79],"much":[80],"work":[81],"has":[82],"done":[84],"modeling":[89],"synthetic":[90,117,148],"images,":[92],"simulating":[95],"generation":[98],"get":[100],"that":[102,129,187],"are":[103],"close":[105],"possible":[107],"real":[109,139],"images.":[111,140],"An":[112],"aspect":[114],"simulated":[116],"requirement":[122],"extensive":[124],"quality":[125,168,185],"assessment":[126],"ensuring":[128],"texture":[133,144],"characteristics":[134],"gray-tone":[136],"features":[137,165,180],"This":[141],"paper":[142,175],"presents":[143],"feature":[145],"using":[151],"local":[152],"binary":[153],"patterns":[154],"(LBP)":[155],"demonstrates":[157],"usefulness":[159],"set":[162],"LBP":[164],"assessment.":[169],"Experimental":[170],"results":[171],"presented":[172],"clearly":[176],"show":[177],"how":[178],"these":[179],"could":[181],"accurate":[184],"metric":[186],"correlates":[188],"very":[189],"well":[190],"with":[191],"subjective":[192],"evaluations":[193],"performed":[194],"by":[195],"clinical":[196],"experts.":[197]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2017-11-10T00:00:00"}
