{"id":"https://openalex.org/W4243467586","doi":"https://doi.org/10.1109/cvprw.2009.5204342","title":"Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters","display_name":"Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W4243467586","doi":"https://doi.org/10.1109/cvprw.2009.5204342"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2009.5204342","doi":"https://doi.org/10.1109/cvprw.2009.5204342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204342","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":"2160-7508","issn":["2160-7508"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5061019126","display_name":"Tang Songyuan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Songyuan Tang","raw_affiliation_strings":["Department of Radiology, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032267453","display_name":"Yong Fan A","orcid":"https://orcid.org/0000-0001-9869-4685","observed_orcids":["https://orcid.org/0000-0001-9869-4685","https://orcid.org/0000-0001-9977-6113"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Fan","raw_affiliation_strings":["Department of Radiology, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077961759","display_name":"Hongtu Zhu B","orcid":"https://orcid.org/0000-0002-6781-2690","observed_orcids":["https://orcid.org/0000-0002-6781-2690"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongtu Zhu","raw_affiliation_strings":["Department of Biostatistics and BRIC, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and BRIC, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015071060","display_name":"Pew\u2010Thian Yap","orcid":"https://orcid.org/0000-0003-1489-2102","observed_orcids":["https://orcid.org/0000-0003-1489-2102"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pew-Thian Yap","raw_affiliation_strings":["Department of Radiology, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057001672","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0002-9260-2601","observed_orcids":["https://orcid.org/0000-0002-9260-2601"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Gao","raw_affiliation_strings":["Department of Radiology, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006302877","display_name":"Weili Lin","orcid":"https://orcid.org/0000-0002-2900-8204","observed_orcids":["https://orcid.org/0000-0002-2900-8204"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weili Lin","raw_affiliation_strings":["Department of Radiology, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang G. Shen","orcid":"https://orcid.org/0000-0002-7934-5698","observed_orcids":["https://orcid.org/0000-0002-7934-5698","https://orcid.org/0000-0001-8350-6581","https://orcid.org/0000-0002-5567-3339"]},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Department of Radiology, North Carolina State University, Chapel Hill, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, North Carolina State University, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33177332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"66","issue":null,"first_page":"52","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.6934000253677368,"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":0.6934000253677368,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.2964000105857849,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0020000000949949026,"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/diffusion-weighted-images","display_name":"diffusion-weighted images","score":0.7680000066757202},{"id":"https://openalex.org/keywords/diffusion-tensor-estimation","display_name":"diffusion tensor estimation","score":0.777999997138977},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.7149999737739563},{"id":"https://openalex.org/keywords/log-euclidean-metric","display_name":"Log-Euclidean metric","score":0.8399999737739563},{"id":"https://openalex.org/keywords/boundary-preservation","display_name":"boundary preservation","score":0.5389999747276306}],"concepts":[{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.7959291934967041},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6644705533981323},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5706210732460022},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5641800761222839},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4988675117492676},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4778687357902527},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.45653045177459717},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.4467054307460785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44484972953796387},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.41539183259010315},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4148412048816681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4096469581127167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4093891382217407},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34406089782714844},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32982075214385986},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.27547430992126465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27442848682403564},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18107563257217407},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17560240626335144},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12415707111358643},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0},{"id":"https://openalex.org/C3017618536","wikidata":"https://www.wikidata.org/wiki/Q304994","display_name":"Innovation diffusion","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2009.5204342","doi":"https://doi.org/10.1109/cvprw.2009.5204342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2009.5204342","pdf_url":null,"source":{"id":"https://openalex.org/S4363608118","display_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","issn_l":"2160-7508","issn":["2160-7508"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1581996658","https://openalex.org/W1964941127","https://openalex.org/W1965874085","https://openalex.org/W1983496390","https://openalex.org/W1995050389","https://openalex.org/W2001002651","https://openalex.org/W2008025478","https://openalex.org/W2010954305","https://openalex.org/W2020332292","https://openalex.org/W2022530159","https://openalex.org/W2026366832","https://openalex.org/W2048192550","https://openalex.org/W2074888367","https://openalex.org/W2087883319","https://openalex.org/W2097217407","https://openalex.org/W2107466627","https://openalex.org/W2120259577","https://openalex.org/W2148800344","https://openalex.org/W2149730302","https://openalex.org/W2158623352","https://openalex.org/W2164355691","https://openalex.org/W2498631646"],"related_works":["https://openalex.org/W2153450986","https://openalex.org/W2357702753","https://openalex.org/W2155910912","https://openalex.org/W2099312083","https://openalex.org/W127396685","https://openalex.org/W2135850916","https://openalex.org/W2149037114","https://openalex.org/W2073841449","https://openalex.org/W1581996658","https://openalex.org/W7062706791"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,28],"method":[4],"to":[5,38,56,63,66],"simultaneously":[6],"regularize":[7],"diffusion":[8,14,36,44,49,71,89,102],"weighted":[9,50,90],"images":[10,91],"and":[11,22,62,86,116],"their":[12],"estimated":[13],"tensors,":[15,72,103],"with":[16,46],"the":[17,42,47,67,83,88,93,101,110,121,124],"goal":[18],"of":[19,41,59,70,123],"suppressing":[20],"noise":[21],"restoring":[23],"tensor":[24,84],"information.":[25],"We":[26],"enforce":[27],"data":[29,119],"fidelity":[30],"constraint,":[31],"using":[32],"coupled":[33],"robust":[34,60],"anisotropic":[35,68],"filters,":[37],"ensure":[39],"consistency":[40],"restored":[43],"tensors":[45],"regularized":[48,94],"images.":[51],"The":[52],"filters":[53],"are":[54,106],"designed":[55],"take":[57],"advantage":[58],"statistics":[61],"be":[64],"adopted":[65,107],"nature":[69],"which":[73],"can":[74],"effectively":[75],"keep":[76],"boundaries":[77],"between":[78],"piecewise":[79],"constant":[80],"regions":[81],"in":[82],"volume":[85],"also":[87],"during":[92],"process.":[95],"To":[96],"facilitate":[97],"Euclidean":[98],"operations":[99],"on":[100,114],"log-Euclidean":[104],"metrics":[105],"when":[108],"performing":[109],"filtering.":[111],"Experimental":[112],"results":[113],"simulated":[115],"real":[117],"image":[118],"demonstrate":[120],"effectiveness":[122],"proposed":[125],"method.":[126]},"counts_by_year":[],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2022-05-12T00:00:00"}
