{"id":"https://openalex.org/W1593506702","doi":"https://doi.org/10.2312/vcbm/vcbm10/009-016","title":"Fast and Smooth Interactive Segmentation of Medical Images Using Variational Interpolation","display_name":"Fast and Smooth Interactive Segmentation of Medical Images Using Variational Interpolation","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W1593506702","doi":"https://doi.org/10.2312/vcbm/vcbm10/009-016","mag":"1593506702"},"language":"en","primary_location":{"id":"pmh:oai:fraunhofer.de:N-135483","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-135483.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer MEVIS","raw_type":"Conference Paper"},"type":"conference-paper","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://publica.fraunhofer.de/documents/N-135483.html","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070595573","display_name":"Frank Heckel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heckel, Frank","raw_affiliation_strings":["Fraunhofer MEVIS, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer MEVIS, Germany#TAB#","institution_ids":["https://openalex.org/I4210137873"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000951270","display_name":"Olaf Konrad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146968","display_name":"MeVis Medical Solutions (Germany)","ror":"https://ror.org/04zj6ee21","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210146968"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Konrad, Olaf","raw_affiliation_strings":["MeVis Medical Solutions AG, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MeVis Medical Solutions AG, Germany#TAB#","institution_ids":["https://openalex.org/I4210146968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108568278","display_name":"Heinz\u2010Otto Peitgen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137873","display_name":"Fraunhofer Institute for Digital Medicine","ror":"https://ror.org/04farme71","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137873","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peitgen, Heinz-Otto","raw_affiliation_strings":["Fraunhofer MEVIS, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer MEVIS, Germany#TAB#","institution_ids":["https://openalex.org/I4210137873"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.03588757,"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":"9","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.7818224430084229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170184850692749},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6813964247703552},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5734451413154602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5061268210411072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.451855331659317},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.43095800280570984},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4168699085712433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.398502916097641},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20571619272232056},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.07495379447937012}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7818224430084229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170184850692749},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6813964247703552},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5734451413154602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5061268210411072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.451855331659317},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.43095800280570984},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4168699085712433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.398502916097641},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20571619272232056},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.07495379447937012},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:fraunhofer.de:N-135483","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-135483.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer MEVIS","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/366605","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/366605","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"},{"id":"doi:10.2312/vcbm/vcbm10/009-016","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vcbm/vcbm10/009-016","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},{"id":"mag:1593506702","is_oa":false,"landing_page_url":"https://dblp.uni-trier.de/db/conf/vcbm/vcbm2010.html#HeckelKP10","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Eurographics","raw_type":null}],"best_oa_location":{"id":"pmh:oai:fraunhofer.de:N-135483","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-135483.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer MEVIS","raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1488765683","https://openalex.org/W1525727209","https://openalex.org/W1977758817","https://openalex.org/W2006264228","https://openalex.org/W2015191524","https://openalex.org/W2064561427","https://openalex.org/W2067946238","https://openalex.org/W2087974793","https://openalex.org/W2094232965","https://openalex.org/W2115021209","https://openalex.org/W2125637308","https://openalex.org/W2128563774","https://openalex.org/W2155328970","https://openalex.org/W2170167721"],"related_works":["https://openalex.org/W2959641995","https://openalex.org/W2875476662","https://openalex.org/W2403161956","https://openalex.org/W2163096274","https://openalex.org/W3207456408","https://openalex.org/W2980531997","https://openalex.org/W2620516784","https://openalex.org/W2918236034","https://openalex.org/W2182932469","https://openalex.org/W2995235358","https://openalex.org/W92710880","https://openalex.org/W1977238119","https://openalex.org/W3088555222","https://openalex.org/W2612440311","https://openalex.org/W3048102697","https://openalex.org/W2791656145","https://openalex.org/W1964623265","https://openalex.org/W3184458996","https://openalex.org/W3049629062","https://openalex.org/W2098649500"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,13,21,76,87],"fast":[3,88],"and":[4,86,125],"interactive":[5,61],"segmentation":[6,68],"method":[7],"for":[8,91],"medical":[9],"images":[10],"that":[11,29],"allows":[12],"smooth":[14],"reconstruction":[15],"of":[16,23,80,83,104],"an":[17,37,60],"object's":[18],"surface":[19],"from":[20],"set":[22],"user":[24],"drawn,":[25],"three-dimensional,":[26],"planar":[27],"contours":[28],"can":[30],"be":[31],"arbitrarily":[32],"oriented.":[33],"Our":[34],"algorithm":[35,57,120],"uses":[36],"interpolation":[38,46,119],"based":[39,74],"on":[40,75],"variational":[41,45],"implicit":[42,94],"functions.":[43],"Because":[44],"is":[47,99],"computationally":[48],"expensive,":[49],"we":[50,113],"show":[51],"how":[52,115],"to":[53,58,116,123],"speed":[54],"up":[55],"the":[56,66,81,92,102,105,118],"achieve":[59],"calculation":[62],"time":[63],"while":[64],"preserving":[65,78],"overall":[67],"quality.":[69],"The":[70],"performance":[71],"improvements":[72],"are":[73],"quality":[77],"reduction":[79],"number":[82],"contour":[84],"points":[85],"voxelization":[89],"strategy":[90],"resulting":[93],"function.":[95],"A":[96],"huge":[97],"speedup":[98],"achieved":[100],"by":[101],"parallelization":[103],"algorithms,":[106],"utilizing":[107],"modern":[108],"64-bit":[109],"multi-core":[110],"CPUs.":[111],"Finally,":[112],"discuss":[114],"make":[117],"more":[121],"robust":[122],"selfintersecting":[124],"reduced":[126],"contours.":[127]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
