{"id":"https://openalex.org/W2098087130","doi":"https://doi.org/10.1109/icassp.2006.1660459","title":"Hybrid Skeleton Graph Analysis of Disordered Porous Media. Application to Trabecular Bone","display_name":"Hybrid Skeleton Graph Analysis of Disordered Porous Media. Application to Trabecular Bone","publication_year":2006,"publication_date":"2006-08-03","ids":{"openalex":"https://openalex.org/W2098087130","doi":"https://doi.org/10.1109/icassp.2006.1660459","mag":"2098087130"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2006.1660459","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icassp.2006.1660459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"},"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/A5083471061","display_name":"Gabriel Aufort","orcid":null},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Aufort","raw_affiliation_strings":["LESI, Laboratoire d'Electronique, Signaux, Images, UPRES EA 1715 et GdR ISIS du CNRS, 12, rue de Blois, Universite d'Orleans, France. gabriel.aufort@univ-orleans.fr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LESI, Laboratoire d'Electronique, Signaux, Images, UPRES EA 1715 et GdR ISIS du CNRS, 12, rue de Blois, Universite d'Orleans, France. gabriel.aufort@univ-orleans.fr","institution_ids":["https://openalex.org/I12449238","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037286514","display_name":"Rachid Jennane","orcid":"https://orcid.org/0000-0002-8032-8035"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Jennane","raw_affiliation_strings":["LESI, Univ. d'Orleans"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LESI, Univ. d'Orleans","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077589876","display_name":"Rachid Harba","orcid":"https://orcid.org/0000-0002-0013-0839"},"institutions":[{"id":"https://openalex.org/I12449238","display_name":"Universit\u00e9 d'Orl\u00e9ans","ror":"https://ror.org/014zrew76","country_code":"FR","type":"education","lineage":["https://openalex.org/I12449238"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"R. Harba","raw_affiliation_strings":["LESI, Univ. d'Orleans"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LESI, Univ. d'Orleans","institution_ids":["https://openalex.org/I12449238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109963087","display_name":"Claude Laurent Benhamou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C.L. Benhamou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8965,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86275663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"II","last_page":"781"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing 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/T12923","display_name":"Digital Image Processing 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9968000054359436,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.636350691318512},{"id":"https://openalex.org/keywords/porous-medium","display_name":"Porous medium","score":0.5257269144058228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4587223529815674},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4342897832393646},{"id":"https://openalex.org/keywords/porosity","display_name":"Porosity","score":0.4341874122619629},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4050145745277405},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.20995411276817322},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.14703938364982605}],"concepts":[{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.636350691318512},{"id":"https://openalex.org/C105569014","wikidata":"https://www.wikidata.org/wiki/Q3271208","display_name":"Porous medium","level":3,"score":0.5257269144058228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4587223529815674},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4342897832393646},{"id":"https://openalex.org/C6648577","wikidata":"https://www.wikidata.org/wiki/Q622669","display_name":"Porosity","level":2,"score":0.4341874122619629},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4050145745277405},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.20995411276817322},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.14703938364982605},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2006.1660459","is_oa":false,"landing_page_url":"http://doi.org/10.1109/icassp.2006.1660459","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W119447173","https://openalex.org/W2061832930","https://openalex.org/W2094690031","https://openalex.org/W2108915621","https://openalex.org/W2128416572","https://openalex.org/W2262933759","https://openalex.org/W6692797356"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2898370298","https://openalex.org/W2744391499","https://openalex.org/W3120461830","https://openalex.org/W4230250635","https://openalex.org/W3041790586","https://openalex.org/W2018879842","https://openalex.org/W3144504424","https://openalex.org/W2393554192","https://openalex.org/W4388657984"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,22],"new":[6,83],"method":[7,105],"for":[8,25],"modeling":[9],"disordered":[10],"porous":[11],"media.":[12],"Recent":[13],"work":[14],"has":[15],"shown":[16],"that":[17,60],"the":[18,36,39,54,62,65,82,101],"line":[19],"skeleton":[20,84],"is":[21,41,47],"powerful":[23],"tool":[24],"3D":[26],"structure":[27,63],"characterization.":[28],"However,":[29],"as":[30,51],"it":[31,52],"generates":[32],"only":[33],"1D":[34],"curves,":[35],"geometry":[37],"of":[38,57,64,73,103],"material":[40],"sometimes":[42],"excessively":[43],"approximated.":[44],"Our":[45],"algorithm":[46],"an":[48,70],"improved":[49],"solution":[50],"considers":[53],"local":[55],"shape":[56],"each":[58],"element":[59],"composes":[61],"medium.":[66],"It":[67],"consists":[68],"in":[69],"efficient":[71],"combination":[72],"curve":[74],"and":[75,88],"surface":[76],"thinning":[77],"techniques.":[78],"Features":[79],"extracted":[80],"from":[81],"contain":[85],"significant":[86],"topological":[87],"morphological":[89],"information.":[90],"A":[91],"clinical":[92],"study":[93],"carried":[94],"out":[95],"on":[96],"trabecular":[97],"bone":[98],"samples":[99],"demonstrates":[100],"ability":[102],"our":[104],"to":[106],"discriminate":[107],"between":[108],"2":[109],"different":[110],"populations.":[111]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
