{"id":"https://openalex.org/W2009575822","doi":"https://doi.org/10.1117/12.812039","title":"Hierarchical unbiased group-wise registration for atlas construction and population comparison","display_name":"Hierarchical unbiased group-wise registration for atlas construction and population comparison","publication_year":2009,"publication_date":"2009-02-26","ids":{"openalex":"https://openalex.org/W2009575822","doi":"https://doi.org/10.1117/12.812039","mag":"2009575822"},"language":"en","primary_location":{"id":"doi:10.1117/12.812039","doi":"https://doi.org/10.1117/12.812039","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.812039","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"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/A5023707205","display_name":"Yasheng Chen","orcid":"https://orcid.org/0000-0002-1133-452X","observed_orcids":["https://orcid.org/0000-0002-1133-452X"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasheng Chen","raw_affiliation_strings":["Univ. of North Carolina at Chapel Hill (United States)","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang G. Shen","orcid":"https://orcid.org/0000-0002-7934-5698","observed_orcids":["https://orcid.org/0000-0002-7934-5698","https://orcid.org/0000-0001-8350-6581","https://orcid.org/0000-0002-5567-3339"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["Univ. of North Carolina at Chapel Hill (United States)","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077961759","display_name":"Hongtu Zhu B","orcid":"https://orcid.org/0000-0002-6781-2690","observed_orcids":["https://orcid.org/0000-0002-6781-2690"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongtu Zhu","raw_affiliation_strings":["Univ. of North Carolina at Chapel Hill (United States)","University of North Carolina at Chapel, Hill, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel, Hill, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052040538","display_name":"Hongyu An","orcid":"https://orcid.org/0000-0001-6459-2269","observed_orcids":["https://orcid.org/0000-0001-6459-2269"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyu An","raw_affiliation_strings":["Univ. of North Carolina at Chapel Hill (United States)","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052698941","display_name":"John H. Gilmore","orcid":"https://orcid.org/0000-0002-0939-6764","observed_orcids":["https://orcid.org/0000-0002-0939-6764"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Gilmore","raw_affiliation_strings":["Univ. of North Carolina at Chapel Hill (United States)","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006302877","display_name":"Weili Lin","orcid":"https://orcid.org/0000-0002-2900-8204","observed_orcids":["https://orcid.org/0000-0002-2900-8204"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weili Lin","raw_affiliation_strings":["Univ. of North Carolina at Chapel Hill (United States)","University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of North Carolina at Chapel Hill (United States)","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.2721,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42676428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7259","issue":null,"first_page":"72592V","last_page":"72592V"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.00019999999494757503,"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"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":9.999999747378752e-05,"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/brain-atlas-construction","display_name":"brain atlas construction","score":0.8870000243186951},{"id":"https://openalex.org/keywords/population-comparison","display_name":"population comparison","score":0.6840000152587891},{"id":"https://openalex.org/keywords/image-clustering","display_name":"image clustering","score":0.9010000228881836},{"id":"https://openalex.org/keywords/displacement-field","display_name":"displacement field","score":0.8640000224113464},{"id":"https://openalex.org/keywords/fractional-anisotropy","display_name":"fractional anisotropy","score":0.9729999899864197},{"id":"https://openalex.org/keywords/newborns","display_name":"neonates","score":0.7149999737739563}],"concepts":[{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.7446364164352417},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.7113189101219177},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6301518678665161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5935715436935425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5634379982948303},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5523213744163513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5194239616394043},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4916122555732727},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.45169445872306824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3752686083316803},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34332647919654846},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31697848439216614},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27286311984062195},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.075813889503479},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.812039","doi":"https://doi.org/10.1117/12.812039","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.812039","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.766700029373169}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1613021091","https://openalex.org/W1995772049","https://openalex.org/W1998710995","https://openalex.org/W2022686119","https://openalex.org/W2034432063","https://openalex.org/W2113576511","https://openalex.org/W2121014637","https://openalex.org/W2157502851","https://openalex.org/W2157675930","https://openalex.org/W2158167845","https://openalex.org/W2914749043","https://openalex.org/W3089669417"],"related_works":["https://openalex.org/W2096029372","https://openalex.org/W2317276610","https://openalex.org/W1968736638","https://openalex.org/W2084176884","https://openalex.org/W4391465142","https://openalex.org/W2892372589","https://openalex.org/W3034706925","https://openalex.org/W1712329996","https://openalex.org/W2158185624","https://openalex.org/W7099012626"],"abstract_inverted_index":{"A":[0],"novel":[1],"hierarchical":[2,23,60,75,95,170],"unbiased":[3,42,214],"group-wise":[4,24,43,100,183],"registration":[5,25,44,101,171,184,215],"is":[6,102,113,148],"developed":[7],"to":[8,35,45,127,130,163],"robustly":[9],"transform":[10],"each":[11,51],"individual":[12,139],"image":[13,49,108,118,140],"towards":[14,150],"a":[15,47,105],"common":[16,121],"space":[17,122],"for":[18,50,68,109,123,133],"atlas":[19,135,173],"based":[20,136,174],"analysis.":[21,137],"This":[22,94,115],"approach":[26,205],"consists":[27],"of":[28,144,167],"two":[29,91],"main":[30],"components,":[31],"(1)":[32],"data":[33],"clustering":[34,97],"group":[36],"similar":[37],"images":[38,55,67,79],"together":[39],"and":[40,84,98,198],"(2)":[41],"generate":[46],"mean":[48,54,107,117],"cluster.":[52],"The":[53],"generated":[56],"in":[57,131,172,185],"the":[58,65,69,73,89,110,120,125,134,142,145,151,157,165,168,181,203,212],"lower":[59],"level":[61],"are":[62],"regarded":[63],"as":[64,190,192],"input":[66,78],"higher":[70,74],"hierarchy.":[71],"In":[72,161,200],"level,":[76],"these":[77],"will":[80],"be":[81,128],"further":[82],"clustered":[83],"then":[85],"registered":[86],"by":[87],"using":[88],"same":[90],"components":[92],"mentioned.":[93],"bottom-up":[96],"within-cluster":[99],"repeated":[103],"until":[104],"final":[106,116],"whole":[111],"population":[112],"formed.":[114],"represents":[119],"all":[124,156],"subjects":[126],"warped":[129],"order":[132,162],"Each":[138],"at":[141],"bottom":[143],"constructed":[146],"hierarchy":[147],"transformed":[149],"root":[152],"node":[153],"through":[154],"concatenating":[155],"intermediate":[158],"displacement":[159],"fields.":[160],"evaluate":[164],"performance":[166],"proposed":[169,204],"statistical":[175],"analysis,":[176],"comparisons":[177],"were":[178],"made":[179],"with":[180],"conventional":[182,213],"detecting":[186],"simulated":[187],"brain":[188],"atrophy":[189],"well":[191],"fractional":[193],"anisotropy":[194],"differences":[195],"between":[196],"neonates":[197],"1-year-olds.":[199],"both":[201],"cases,":[202],"demonstrated":[206],"improved":[207],"sensitivity":[208],"(higher":[209],"t-scores)":[210],"than":[211],"approach.":[216]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2016-06-24T00:00:00"}