{"id":"https://openalex.org/W3001140066","doi":"https://doi.org/10.1109/robio49542.2019.8961785","title":"Ultrasound Image Filtering Using Partial Differential Equations","display_name":"Ultrasound Image Filtering Using Partial Differential Equations","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3001140066","doi":"https://doi.org/10.1109/robio49542.2019.8961785","mag":"3001140066"},"language":"en","primary_location":{"id":"doi:10.1109/robio49542.2019.8961785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-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/A5036075341","display_name":"Jintao Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jintao Ge","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049382489","display_name":"Yu Dai","orcid":"https://orcid.org/0000-0002-7432-226X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Dai","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007151150","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0002-9014-2234"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Chen","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073673970","display_name":"Jianxun Zhang","orcid":"https://orcid.org/0000-0002-7398-7243"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxun Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072662724","display_name":"Yao Xitong","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xitong Yao","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036075341"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47242988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"1210","last_page":"1215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9929999709129333,"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":0.992900013923645,"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/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.8582636117935181},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6408536434173584},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.5832694172859192},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5725988149642944},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.5552866458892822},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5503798723220825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49999356269836426},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.49871397018432617},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4444868266582489},{"id":"https://openalex.org/keywords/partial-differential-equation","display_name":"Partial differential equation","score":0.44404205679893494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43632084131240845},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3269854485988617},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07321330904960632}],"concepts":[{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.8582636117935181},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6408536434173584},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.5832694172859192},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5725988149642944},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.5552866458892822},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5503798723220825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49999356269836426},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.49871397018432617},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4444868266582489},{"id":"https://openalex.org/C93779851","wikidata":"https://www.wikidata.org/wiki/Q271977","display_name":"Partial differential equation","level":2,"score":0.44404205679893494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43632084131240845},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3269854485988617},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07321330904960632},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio49542.2019.8961785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio49542.2019.8961785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W751448332","https://openalex.org/W1159684799","https://openalex.org/W1914979257","https://openalex.org/W1979393293","https://openalex.org/W2057771708","https://openalex.org/W2090571884","https://openalex.org/W2130094715","https://openalex.org/W2150134853","https://openalex.org/W2266616465","https://openalex.org/W2316947163","https://openalex.org/W2344796031","https://openalex.org/W2346211146","https://openalex.org/W2519209168","https://openalex.org/W2686256267","https://openalex.org/W2768324006","https://openalex.org/W2770938193","https://openalex.org/W2782618922","https://openalex.org/W2787274669","https://openalex.org/W2807089335","https://openalex.org/W2947873861"],"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/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W2366558118"],"abstract_inverted_index":{"The":[0,64],"speckle":[1,112],"reducing":[2],"anisotropic":[3],"diffusion":[4,52],"(SRAD)":[5],"filter":[6],"is":[7,54,62,115],"extensively":[8],"used":[9],"to":[10,96],"process":[11,41],"the":[12,17,35,39,57,67,71,77,81,91,97,103,111],"ultrasound":[13],"image.":[14],"However,":[15],"in":[16,34,80],"image":[18,119],"processed":[19],"by":[20],"SRAD":[21],"filter,":[22],"there":[23],"could":[24,106],"be":[25,43],"slab":[26],"effects,":[27],"blurred":[28],"weak":[29],"boundaries,":[30],"and":[31,38,56,84],"lost":[32],"details":[33],"homogeneous":[36],"region,":[37],"iterative":[40,59],"cannot":[42],"terminated":[44],"adaptively.":[45],"To":[46],"solve":[47],"these":[48],"problems,":[49],"an":[50],"improved":[51],"coefficient":[53],"proposed,":[55],"adaptive":[58],"termination":[60],"condition":[61],"added.":[63],"result":[65],"of":[66],"experiments":[68],"shows":[69],"that":[70],"optimization":[72,104],"algorithm":[73,101,105],"can":[74],"efficiently":[75],"eliminate":[76],"plate":[78],"effect":[79,89],"homogenous":[82],"region":[83],"has":[85],"a":[86],"better":[87],"visual":[88],"than":[90,121],"traditional":[92],"SRAD.":[93,122],"And":[94],"according":[95],"criteria":[98],"for":[99,118],"quantifying":[100],"performance,":[102],"not":[107],"only":[108],"well":[109],"remove":[110],"but":[113],"also":[114],"more":[116],"suitable":[117],"segmentation":[120]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}