{"id":"https://openalex.org/W31532907","doi":"https://doi.org/10.2312/pe.vmv.vmv13.113-120","title":"Adaptive Surface Visualization of Vessels with Embedded Blood Flow Based on the Suggestive Contour Measure","display_name":"Adaptive Surface Visualization of Vessels with Embedded Blood Flow Based on the Suggestive Contour Measure","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W31532907","doi":"https://doi.org/10.2312/pe.vmv.vmv13.113-120","mag":"31532907"},"language":"en","primary_location":{"id":"doi:10.2312/pe.vmv.vmv13.113-120","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.vmv.vmv13.113-120","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"type":"other","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/pe.vmv.vmv13.113-120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005017697","display_name":"Kai Lawonn","orcid":"https://orcid.org/0000-0002-1511-4022"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lawonn, Kai","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082209080","display_name":"Rocco Gasteiger","orcid":null},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gasteiger, Rocco","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034699298","display_name":"Bernhard Preim","orcid":"https://orcid.org/0000-0001-9826-9478"},"institutions":[{"id":"https://openalex.org/I95793202","display_name":"Otto-von-Guericke-Universit\u00e4t Magdeburg","ror":"https://ror.org/00ggpsq73","country_code":"DE","type":"education","lineage":["https://openalex.org/I95793202"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Preim, Bernhard","raw_affiliation_strings":["Otto-von-Guericke University Magdeburg, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Otto-von-Guericke University Magdeburg, Magdeburg, Germany","institution_ids":["https://openalex.org/I95793202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95793202"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9769999980926514,"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/measure","display_name":"Measure (data warehouse)","score":0.7057004570960999},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6855754256248474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5955315828323364},{"id":"https://openalex.org/keywords/flow-visualization","display_name":"Flow visualization","score":0.5489797592163086},{"id":"https://openalex.org/keywords/blood-flow","display_name":"Blood flow","score":0.5440421104431152},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5062021613121033},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5030028223991394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4520183205604553},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4450299143791199},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4111773669719696},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.40206581354141235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19170761108398438},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1794300079345703},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17755126953125},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10863998532295227},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10394269227981567}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.7057004570960999},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6855754256248474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955315828323364},{"id":"https://openalex.org/C83893533","wikidata":"https://www.wikidata.org/wiki/Q5462121","display_name":"Flow visualization","level":3,"score":0.5489797592163086},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.5440421104431152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5062021613121033},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5030028223991394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4520183205604553},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4450299143791199},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4111773669719696},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.40206581354141235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19170761108398438},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1794300079345703},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17755126953125},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10863998532295227},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10394269227981567}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/pe.vmv.vmv13.113-120","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.vmv.vmv13.113-120","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.2312/pe.vmv.vmv13.113-120","is_oa":true,"landing_page_url":"https://doi.org/10.2312/pe.vmv.vmv13.113-120","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W205731352","https://openalex.org/W1963616378","https://openalex.org/W1989800297","https://openalex.org/W2008586202","https://openalex.org/W2020384885","https://openalex.org/W2030420539","https://openalex.org/W2038416496","https://openalex.org/W2046714461","https://openalex.org/W2053826520","https://openalex.org/W2060556621","https://openalex.org/W2103203534","https://openalex.org/W2107516842","https://openalex.org/W2111930274","https://openalex.org/W2114441810","https://openalex.org/W2116680597","https://openalex.org/W2121710705","https://openalex.org/W2144939137","https://openalex.org/W2147751270","https://openalex.org/W2154393589","https://openalex.org/W2161141071","https://openalex.org/W2168005337","https://openalex.org/W2734335987"],"related_works":["https://openalex.org/W2152249876","https://openalex.org/W1980877137","https://openalex.org/W2538835391","https://openalex.org/W3148025505","https://openalex.org/W1983283631","https://openalex.org/W2867499948","https://openalex.org/W2140072113","https://openalex.org/W2004747602","https://openalex.org/W2050624856","https://openalex.org/W2082113018","https://openalex.org/W2121919987","https://openalex.org/W2247079435","https://openalex.org/W2156272531","https://openalex.org/W2159371947","https://openalex.org/W2118456779","https://openalex.org/W1570128407","https://openalex.org/W2242059250","https://openalex.org/W138874699","https://openalex.org/W1834630552","https://openalex.org/W2044571695"],"abstract_inverted_index":{"The":[0],"investigation":[1],"of":[2,8,42,84,119,129,173],"hemodynamic":[3],"information":[4,45,54],"for":[5],"the":[6,43,52,62,68,85,105,117,130,171],"assessment":[7],"cardiovascular":[9],"diseases":[10],"(CVD)":[11],"has":[12],"increased":[13],"in":[14,67],"recent":[15],"years.":[16],"Improved":[17],"flow":[18,36,44,53,63,132,142],"measuring":[19],"modalities":[20],"and":[21,122,152,156],"computational":[22],"fluid":[23],"dynamics":[24],"(CFD)":[25],"simulations":[26],"are":[27,48],"suitable":[28],"to":[29,50,75,115,149],"provide":[30,90],"domain":[31,46,167],"experts":[32,47],"with":[33,56,138,154,165,177],"reliable":[34],"blood":[35,158],"information.":[37],"For":[38],"a":[39,80],"visual":[40,82],"exploration":[41],"used":[49],"investigate":[51],"combined":[55],"its":[57],"enclosed":[58],"vessel":[59,70,86],"anatomy.":[60],"Since":[61],"is":[64],"spatially":[65],"embedded":[66,131],"surrounding":[69],"surface,":[71],"occlusion":[72],"problems":[73],"have":[74],"be":[76,136],"resolved":[77],"that":[78],"include":[79],"meaningful":[81],"reduction":[83],"surface":[87,101,120,182],"but":[88],"still":[89],"important":[91],"anatomical":[92],"features.":[93],"We":[94,145],"accomplish":[95],"this":[96],"by":[97,104],"applying":[98],"an":[99,161],"adaptive":[100],"visualization":[102,113,143],"inspired":[103],"suggestive":[106],"contour":[107],"measure.":[108],"Our":[109],"approach":[110,148,175],"combines":[111],"several":[112],"techniques":[114],"improve":[116],"perception":[118],"shape":[121],"depth.":[123],"Thereby,":[124],"we":[125,169],"ensure":[126],"appropriate":[127],"visibility":[128],"information,":[133],"which":[134],"can":[135],"depicted":[137],"established":[139],"or":[140],"advanced":[141],"techniques.":[144],"apply":[146],"our":[147,174],"cerebral":[150],"aneurysms":[151],"aortas":[153],"simulated":[155],"measured":[157],"flow.":[159],"In":[160],"informal":[162],"user":[163],"feedback":[164],"nine":[166],"experts,":[168],"confirm":[170],"advantages":[172],"compared":[176],"existent":[178],"methods,":[179],"e.g.,":[180],"semi-transparent":[181],"rendering.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}