{"id":"https://openalex.org/W2035488169","doi":"https://doi.org/10.1142/s0219467814500016","title":"A Mixed Gauss and Directional Distance Filter for Fiber Direction Tracking","display_name":"A Mixed Gauss and Directional Distance Filter for Fiber Direction Tracking","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2035488169","doi":"https://doi.org/10.1142/s0219467814500016","mag":"2035488169"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467814500016","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467814500016","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","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/A5107919406","display_name":"Yongfeng Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongfeng Yuan","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, No. 92 West Dazhi Street, Harbin, Heilongjiang 150001, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, No. 92 West Dazhi Street, Harbin, Heilongjiang 150001, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049558861","display_name":"Kuanquan Wang","orcid":"https://orcid.org/0000-0003-1347-3491"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanquan Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Harbin Institute of Technology, No. 92 West Dazhi Street, Harbin, Heilongjiang 150001, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Harbin Institute of Technology, No. 92 West Dazhi Street, Harbin, Heilongjiang 150001, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107919406"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12507045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"14","issue":"01n02","first_page":"1450001","last_page":"1450001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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":0.9934999942779541,"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/T12303","display_name":"Tensor decomposition and applications","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6537920236587524},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.586452066898346},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5846387147903442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.58391273021698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644733905792236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5485103130340576},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5467792749404907},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.49593839049339294},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.4458761215209961},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41941896080970764},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3315809965133667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19597312808036804},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1794758141040802},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09442949295043945}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6537920236587524},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.586452066898346},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5846387147903442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.58391273021698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644733905792236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5485103130340576},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5467792749404907},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.49593839049339294},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.4458761215209961},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41941896080970764},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3315809965133667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19597312808036804},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1794758141040802},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09442949295043945},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467814500016","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467814500016","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1977405013","https://openalex.org/W2007627285","https://openalex.org/W2012287176","https://openalex.org/W2026812901","https://openalex.org/W2028185774","https://openalex.org/W2036785860","https://openalex.org/W2052106278","https://openalex.org/W2088964180","https://openalex.org/W2115133411","https://openalex.org/W2123326080","https://openalex.org/W2138287062","https://openalex.org/W2142699820","https://openalex.org/W2142900310","https://openalex.org/W2144341408","https://openalex.org/W2156295356","https://openalex.org/W2166145361"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2077542787","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2070401501","https://openalex.org/W2121496884","https://openalex.org/W2387910809"],"abstract_inverted_index":{"Fiber":[0],"directional":[1,51,75],"tracking":[2,56],"through":[3],"diffusion":[4],"tensor":[5],"magnetic":[6],"resonance":[7],"imaging":[8],"(DT-MRI)":[9],"is":[10,21,45,79,123,129],"a":[11,67],"promising":[12],"research":[13],"field":[14],"in":[15,24,43,84],"visualization":[16],"and":[17,20,30,74,90,132],"computer":[18],"graphics":[19],"widely":[22],"applied":[23],"the":[25,31,71,102,114,127],"reconstruction":[26],"of":[27,33,46,70,93,104],"fiber":[28,50,139],"orientation":[29],"structure":[32],"biological":[34],"tissues.":[35],"The":[36],"filter":[37,69,77],"technique":[38],"used":[39],"to":[40,61,81],"blur":[41],"noise":[42,105],"data":[44,117],"critical":[47],"importance":[48],"for":[49],"tracking,":[52],"particularly":[53],"because":[54],"existing":[55],"methods":[57],"are":[58],"very":[59],"sensitive":[60],"impulsive":[62],"noise.":[63],"In":[64],"this":[65],"paper,":[66],"mixed":[68],"3D":[72],"Gauss":[73],"distance":[76],"(GDDF)":[78],"proposed":[80],"suppress":[82],"noises":[83],"corrupted":[85],"vector":[86,94,110,116],"fields.":[87],"Simulation":[88],"results":[89],"objective":[91],"evaluation":[92],"datasets":[95],"demonstrate":[96],"that":[97,126,136],"GDDF":[98,128],"not":[99],"only":[100],"possesses":[101],"capability":[103],"attenuation":[106],"but":[107],"also":[108,124],"preserves":[109],"directions.":[111],"By":[112],"validating":[113],"simulated":[115],"against":[118],"experimental":[119],"heart":[120],"data,":[121],"it":[122],"shown":[125],"an":[130],"effective":[131],"stable":[133],"preprocessing":[134],"method":[135],"accurately":[137],"reconstructs":[138],"orientation.":[140]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}