{"id":"https://openalex.org/W2120746148","doi":"https://doi.org/10.1109/isbi.2006.1624864","title":"Optimal Graph-Theoretic Approach to 3D Anatomical Tree Matching","display_name":"Optimal Graph-Theoretic Approach to 3D Anatomical Tree Matching","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2120746148","doi":"https://doi.org/10.1109/isbi.2006.1624864","mag":"2120746148"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2006.1624864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1624864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.","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/A5112187699","display_name":"Michael W. Graham","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M.W. Graham","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090923952","display_name":"William E. Higgins","orcid":"https://orcid.org/0000-0003-4781-9374"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W.E. Higgins","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA#TAB#","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112187699"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.318,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.57641171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"109","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9649999737739563,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.6765435338020325},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6568586230278015},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6239053606987},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.5349278450012207},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5144138932228088},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47495508193969727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47295090556144714},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4552333652973175},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43836861848831177},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4196544587612152},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41071590781211853},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3656880259513855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25042325258255005},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24866586923599243},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.1277342140674591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765435338020325},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6568586230278015},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6239053606987},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.5349278450012207},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5144138932228088},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47495508193969727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47295090556144714},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4552333652973175},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43836861848831177},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4196544587612152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41071590781211853},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3656880259513855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25042325258255005},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24866586923599243},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.1277342140674591},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":1,"locations":[{"id":"doi:10.1109/isbi.2006.1624864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2006.1624864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1520732798","https://openalex.org/W1975009259","https://openalex.org/W1998926444","https://openalex.org/W2048001624","https://openalex.org/W2053457305","https://openalex.org/W2056708848","https://openalex.org/W2057294899","https://openalex.org/W2118782734","https://openalex.org/W2133148894","https://openalex.org/W2143944689","https://openalex.org/W2147756293","https://openalex.org/W2159751112","https://openalex.org/W2752885492","https://openalex.org/W2798588639"],"related_works":["https://openalex.org/W2376117328","https://openalex.org/W2071459461","https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2516987005","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820","https://openalex.org/W2092152400"],"abstract_inverted_index":{"High":[0],"resolution":[1],"three-dimensional":[2],"(3D)":[3],"images":[4],"are":[5],"readily":[6],"produced":[7],"by":[8,43],"many":[9],"imaging":[10],"scanners.":[11],"This":[12],"paper":[13],"describes":[14,32],"a":[15,33,60,78,105,108],"novel":[16],"optimal":[17,80],"method":[18,30,103],"for":[19,98,112],"matching":[20,96],"the":[21,51,72,85],"anatomical":[22],"trees":[23,42],"contained":[24],"in":[25],"such":[26],"3D":[27,73,113],"images.":[28],"Our":[29],"explicitly":[31],"set":[34],"of":[35,107],"valid":[36],"candidate":[37,57],"matches":[38,58],"between":[39],"two":[40],"input":[41],"considering":[44],"topological":[45],"deformations":[46],"known":[47],"to":[48,84],"occur":[49],"during":[50],"tree":[52,114],"definition":[53],"process,":[54],"evaluates":[55],"these":[56],"using":[59,88],"cost":[61,86],"function":[62,87],"that":[63],"compares":[64],"corresponding":[65],"branch":[66],"and":[67,76],"branchpoint":[68],"attributes":[69],"measured":[70],"from":[71],"image":[74],"data,":[75],"locates":[77],"globally":[79],"match":[81],"with":[82],"respect":[83],"an":[89],"efficient":[90],"dynamic":[91],"programming":[92],"algorithm.":[93],"We":[94],"present":[95],"results":[97],"human":[99],"airway":[100],"trees.":[101],"The":[102],"is":[104],"part":[106],"complete":[109],"computer-based":[110],"system":[111],"analysis":[115]},"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":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
