{"id":"https://openalex.org/W2125244917","doi":"https://doi.org/10.1109/isbi.2012.6235761","title":"Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior","display_name":"Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2125244917","doi":"https://doi.org/10.1109/isbi.2012.6235761","mag":"2125244917"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2012.6235761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235761","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/A5101850887","display_name":"Wei Liao","orcid":"https://orcid.org/0000-0002-0173-2129"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Wei Liao","raw_affiliation_strings":["BIOQUANT, IPMB, and DKFZ Heidelberg, Department Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","University of Heidelberg, BioQuant, IPMB, and DKFZ Heidelberg, Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"BIOQUANT, IPMB, and DKFZ Heidelberg, Department Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg, BioQuant, IPMB, and DKFZ Heidelberg, Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065703260","display_name":"Karl Rohr","orcid":"https://orcid.org/0000-0001-7673-0999"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karl Rohr","raw_affiliation_strings":["BIOQUANT, IPMB, and DKFZ Heidelberg, Department Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","University of Heidelberg, BioQuant, IPMB, and DKFZ Heidelberg, Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"BIOQUANT, IPMB, and DKFZ Heidelberg, Department Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg, BioQuant, IPMB, and DKFZ Heidelberg, Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074671878","display_name":"Chang\u2010Ki Kang","orcid":"https://orcid.org/0000-0002-9573-8432"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang-Ki Kang","raw_affiliation_strings":["Neuroscience Research Institute, Gachon University of Medicine and Science Namdonggu, Incheon, South Korea","Neuroscience Research Institute, Gachon University of Medicine and Science, Namdonggu, Incheon, 405-760, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Neuroscience Research Institute, Gachon University of Medicine and Science Namdonggu, Incheon, South Korea","institution_ids":["https://openalex.org/I12832649"]},{"raw_affiliation_string":"Neuroscience Research Institute, Gachon University of Medicine and Science, Namdonggu, Incheon, 405-760, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010365172","display_name":"Zang\u2010Hee Cho","orcid":"https://orcid.org/0000-0001-5140-1689"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zang-Hee Cho","raw_affiliation_strings":["Neuroscience Research Institute, Gachon University of Medicine and Science Namdonggu, Incheon, South Korea","Neuroscience Research Institute, Gachon University of Medicine and Science, Namdonggu, Incheon, 405-760, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Neuroscience Research Institute, Gachon University of Medicine and Science Namdonggu, Incheon, South Korea","institution_ids":["https://openalex.org/I12832649"]},{"raw_affiliation_string":"Neuroscience Research Institute, Gachon University of Medicine and Science, Namdonggu, Incheon, 405-760, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038055772","display_name":"Stefan W\u00f6rz","orcid":null},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Worz","raw_affiliation_strings":["BIOQUANT, IPMB, and DKFZ Heidelberg, Department Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","University of Heidelberg, BioQuant, IPMB, and DKFZ Heidelberg, Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany"],"affiliations":[{"raw_affiliation_string":"BIOQUANT, IPMB, and DKFZ Heidelberg, Department Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, University of Heidelberg, Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"University of Heidelberg, BioQuant, IPMB, and DKFZ Heidelberg, Dept. Bioinformatics and Functional Genomics, Biomedical Computer Vision Group, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101850887"],"corresponding_institution_ids":["https://openalex.org/I223822909"],"apc_list":null,"apc_paid":null,"fwci":0.8236,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76387847,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1140","last_page":"1143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7500312328338623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7419419288635254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7366102933883667},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7279865741729736},{"id":"https://openalex.org/keywords/fast-marching-method","display_name":"Fast marching method","score":0.6968825459480286},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4754852056503296},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.47472915053367615},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.44010263681411743},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36826393008232117},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22478750348091125}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7500312328338623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7419419288635254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7366102933883667},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7279865741729736},{"id":"https://openalex.org/C17866373","wikidata":"https://www.wikidata.org/wiki/Q5437042","display_name":"Fast marching method","level":2,"score":0.6968825459480286},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4754852056503296},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.47472915053367615},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44010263681411743},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36826393008232117},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22478750348091125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2012.6235761","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2012.6235761","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1569930776","https://openalex.org/W1991140840","https://openalex.org/W2039912762","https://openalex.org/W2048316306","https://openalex.org/W2067517984","https://openalex.org/W2071833700","https://openalex.org/W2079924202","https://openalex.org/W2096320880","https://openalex.org/W2161959735","https://openalex.org/W2164635737","https://openalex.org/W2169214179"],"related_works":["https://openalex.org/W2967993767","https://openalex.org/W4297450478","https://openalex.org/W2415867404","https://openalex.org/W2951778600","https://openalex.org/W2998623850","https://openalex.org/W1860444874","https://openalex.org/W1996924370","https://openalex.org/W2027689502","https://openalex.org/W2294513330","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Accurate":[0],"3D":[1,23,55,114],"models":[2,16],"of":[3,22,44,48,67,98],"the":[4,27,49,71],"human":[5,50],"brain":[6],"vessels":[7,63],"can":[8,17],"greatly":[9],"help":[10],"to":[11,60],"diagnose":[12],"serious":[13],"diseases.":[14],"Such":[15],"be":[18],"constructed":[19],"by":[20,78],"segmentation":[21,43],"MRA":[24,46,116],"images,":[25],"especially":[26],"recently":[28],"introduced":[29],"high":[30,82,112],"resolution":[31,113],"7T":[32,45,115],"MRA.":[33],"We":[34],"propose":[35],"a":[36,54,87,102],"new":[37],"two-step":[38],"approach":[39,57,91,100],"for":[40],"fully":[41],"automatic":[42],"images":[47],"cerebrovascular":[51],"system.":[52],"First,":[53],"model-based":[56],"is":[58],"applied":[59],"segment":[61],"thick":[62],"and":[64,81,101],"most":[65],"parts":[66],"thin":[68],"vessels.":[69],"Then,":[70],"missing":[72],"vessel":[73],"parts,":[74],"which":[75],"are":[76,84],"caused":[77],"low":[79],"contrast":[80],"noise,":[83],"completed":[85],"using":[86,111],"novel":[88],"fast":[89],"marching":[90],"with":[92,104],"anisotropic":[93],"directional":[94],"prior.":[95],"An":[96],"evaluation":[97],"our":[99],"comparison":[103],"two":[105],"previous":[106],"approaches":[107],"have":[108],"been":[109],"conducted":[110],"images.":[117]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
