{"id":"https://openalex.org/W2042058686","doi":"https://doi.org/10.1109/isbi.2012.6235519","title":"Coherence enhancing diffusion filtering based on the Phase Congruency Tensor","display_name":"Coherence enhancing diffusion filtering based on the Phase Congruency Tensor","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2042058686","doi":"https://doi.org/10.1109/isbi.2012.6235519","mag":"2042058686"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","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/A5091089738","display_name":"Bogus\u0142aw Obara","orcid":"https://orcid.org/0000-0003-4084-7778"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Boguslaw Obara","raw_affiliation_strings":["Oxford e-Research Centre, Oxford Centre for Integrative Systems Biology, University of Oxford, UK","Oxford e-Research Centre; University of Oxford; UK"],"affiliations":[{"raw_affiliation_string":"Oxford e-Research Centre, Oxford Centre for Integrative Systems Biology, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford e-Research Centre; University of Oxford; UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026839832","display_name":"Mark D. Fricker","orcid":"https://orcid.org/0000-0002-8942-6897"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mark Fricker","raw_affiliation_strings":["Department of Plant Sciences, University of Oxford, UK"],"affiliations":[{"raw_affiliation_string":"Department of Plant Sciences, University of Oxford, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023353591","display_name":"Vicente Grau","orcid":"https://orcid.org/0000-0001-8139-3480"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]},{"id":"https://openalex.org/I4210146357","display_name":"Oxford BioMedica (United Kingdom)","ror":"https://ror.org/03dp0vf82","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210146357"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vicente Grau","raw_affiliation_strings":["Oxford e-Research Centre, Institute of Biomedical Engineering, University of Oxford, UK","Oxford e-Research Centre; University of Oxford; UK"],"affiliations":[{"raw_affiliation_string":"Oxford e-Research Centre, Institute of Biomedical Engineering, University of Oxford, UK","institution_ids":["https://openalex.org/I4210146357","https://openalex.org/I40120149"]},{"raw_affiliation_string":"Oxford e-Research Centre; University of Oxford; UK","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091089738"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":0.8331,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75156439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3","issue":null,"first_page":"202","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.983299970626831,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.983299970626831,"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":0.9818999767303467,"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/T13430","display_name":"Lipid metabolism and disorders","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.7656100988388062},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.7343195676803589},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7076164484024048},{"id":"https://openalex.org/keywords/structure-tensor","display_name":"Structure tensor","score":0.706277072429657},{"id":"https://openalex.org/keywords/curvilinear-coordinates","display_name":"Curvilinear coordinates","score":0.6771311163902283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672346353530884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5461200475692749},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5339922308921814},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4990804195404053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48795121908187866},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.45914244651794434},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.44629037380218506},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3517189025878906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33889180421829224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3259887099266052},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1522538959980011},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13461995124816895},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10956770181655884}],"concepts":[{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.7656100988388062},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.7343195676803589},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7076164484024048},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.706277072429657},{"id":"https://openalex.org/C98343798","wikidata":"https://www.wikidata.org/wiki/Q1790208","display_name":"Curvilinear coordinates","level":2,"score":0.6771311163902283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672346353530884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461200475692749},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5339922308921814},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4990804195404053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48795121908187866},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.45914244651794434},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.44629037380218506},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3517189025878906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33889180421829224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3259887099266052},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1522538959980011},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13461995124816895},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10956770181655884},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2012.6235519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:ora.ox.ac.uk:uuid:0386c67c-d5f8-4648-9d1e-af4ff12a5e99","is_oa":false,"landing_page_url":"https://ora.ox.ac.uk/objects/uuid:0386c67c-d5f8-4648-9d1e-af4ff12a5e99","pdf_url":null,"source":{"id":"https://openalex.org/S4306402636","display_name":"Oxford University Research Archive (ORA) (University of Oxford)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40120149","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/I40120149"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symplectic Elements at Oxford","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W127809959","https://openalex.org/W1513785229","https://openalex.org/W1543214292","https://openalex.org/W1549562450","https://openalex.org/W2042243302","https://openalex.org/W2051725640","https://openalex.org/W2116609734","https://openalex.org/W2124376898","https://openalex.org/W2129534965","https://openalex.org/W2133009560","https://openalex.org/W2135534896","https://openalex.org/W2146052399","https://openalex.org/W2150134853","https://openalex.org/W2161173798","https://openalex.org/W3011612142","https://openalex.org/W3148529547","https://openalex.org/W4285719527","https://openalex.org/W6679367408","https://openalex.org/W6991250983"],"related_works":["https://openalex.org/W2262332166","https://openalex.org/W2373529328","https://openalex.org/W2319782925","https://openalex.org/W2386523173","https://openalex.org/W1966786995","https://openalex.org/W2154534640","https://openalex.org/W2046976899","https://openalex.org/W2952610069","https://openalex.org/W2157622201","https://openalex.org/W2042058686"],"abstract_inverted_index":{"Many":[0],"biomedical":[1],"applications":[2],"require":[3],"the":[4,33,53,62,65,70,81,91,103],"enhancement":[5,96],"of":[6,32,45,61,102],"coherent":[7],"flow-like":[8],"curvilinear":[9,46],"structures":[10,47],"in":[11,17],"images.":[12,122],"This":[13],"can":[14],"be":[15],"accomplished":[16],"a":[18,39,50,112],"natural":[19],"way":[20],"by":[21,30,74,108],"adopting":[22],"anisotropic":[23,42],"diffusion":[24,43,67],"filtering":[25,44],"to":[26,87],"local":[27],"texture":[28],"analysis":[29],"means":[31],"structure":[34],"tensor.":[35],"Here":[36],"we":[37],"propose":[38],"contrast":[40],"independent":[41],"based":[48],"on":[49,116],"novel":[51],"concept:":[52],"Phase":[54],"Congruency":[55],"Tensor":[56],"(PCT).":[57],"The":[58,100],"phase":[59],"angle":[60],"PCT":[63],"determines":[64],"preferred":[66],"direction":[68],"and":[69,93,119],"diffusity":[71],"is":[72,84],"controlled":[73],"PCT-based":[75],"vesselness":[76],"measure.":[77],"We":[78],"show":[79],"that":[80],"proposed":[82,104],"method":[83],"largely":[85],"insensitive":[86],"intensity":[88],"variations":[89],"along":[90],"curve,":[92],"provides":[94],"successful":[95],"within":[97],"noisy":[98],"regions.":[99],"performance":[101],"approach":[105,115],"was":[106],"evaluated":[107],"comparing":[109],"it":[110],"with":[111],"state-of-the-art":[113],"intensity-based":[114],"both":[117],"synthetic":[118],"real":[120],"biological":[121]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
