{"id":"https://openalex.org/W2300209363","doi":"https://doi.org/10.1117/12.2217262","title":"Optimal atlas construction through hierarchical image registration","display_name":"Optimal atlas construction through hierarchical image registration","publication_year":2016,"publication_date":"2016-03-18","ids":{"openalex":"https://openalex.org/W2300209363","doi":"https://doi.org/10.1117/12.2217262","mag":"2300209363"},"language":"en","primary_location":{"id":"doi:10.1117/12.2217262","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217262","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,"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"},"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/A5065455591","display_name":"George J. Grevera","orcid":null},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"George J. Grevera","raw_affiliation_strings":["St. Joseph's Univ. (United States)"],"affiliations":[{"raw_affiliation_string":"St. Joseph's Univ. (United States)","institution_ids":["https://openalex.org/I51077184"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065713856","display_name":"Jayaram K. Udupa","orcid":"https://orcid.org/0000-0002-7361-2927"},"institutions":[{"id":"https://openalex.org/I2799810409","display_name":"Hospital of the University of Pennsylvania","ror":"https://ror.org/02917wp91","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799810409","https://openalex.org/I4210143392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jayaram K. Udupa","raw_affiliation_strings":["Medical Imaging Processing Group, Hospital of the Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Medical Imaging Processing Group, Hospital of the Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I2799810409"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069851642","display_name":"Dewey Odhner","orcid":"https://orcid.org/0000-0001-6124-8796"},"institutions":[{"id":"https://openalex.org/I2799810409","display_name":"Hospital of the University of Pennsylvania","ror":"https://ror.org/02917wp91","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799810409","https://openalex.org/I4210143392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dewey Odhner","raw_affiliation_strings":["Medical Imaging Processing Group, Hospital of the Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Medical Imaging Processing Group, Hospital of the Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I2799810409"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080030813","display_name":"Drew A. Torigian","orcid":"https://orcid.org/0000-0001-8999-9735"},"institutions":[{"id":"https://openalex.org/I2799810409","display_name":"Hospital of the University of Pennsylvania","ror":"https://ror.org/02917wp91","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I2799810409","https://openalex.org/I4210143392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Drew A. Torigian","raw_affiliation_strings":["Medical Imaging Processing Group, Hospital of the Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Medical Imaging Processing Group, Hospital of the Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I2799810409"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065455591"],"corresponding_institution_ids":["https://openalex.org/I51077184"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70668099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9786","issue":null,"first_page":"97862C","last_page":"97862C"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9980000257492065,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.8164247274398804},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.7437549233436584},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5499628186225891},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.541722297668457},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.49094536900520325},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47975218296051025},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.469379186630249},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4478243887424469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43206503987312317},{"id":"https://openalex.org/keywords/spanning-tree","display_name":"Spanning tree","score":0.42709171772003174},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4149842858314514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4131762981414795},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31661003828048706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23375213146209717},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.21335765719413757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1365540325641632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8164247274398804},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.7437549233436584},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5499628186225891},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.541722297668457},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.49094536900520325},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47975218296051025},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.469379186630249},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4478243887424469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43206503987312317},{"id":"https://openalex.org/C64331007","wikidata":"https://www.wikidata.org/wiki/Q831672","display_name":"Spanning tree","level":2,"score":0.42709171772003174},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4149842858314514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4131762981414795},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31661003828048706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23375213146209717},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.21335765719413757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1365540325641632},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2217262","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2217262","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,"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":[{"score":0.6200000047683716,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1577802689","https://openalex.org/W1964162596","https://openalex.org/W2132059402","https://openalex.org/W2133287637","https://openalex.org/W2491423569","https://openalex.org/W4246219036","https://openalex.org/W4248274944","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2548524143","https://openalex.org/W2387425358","https://openalex.org/W2542788974"],"abstract_inverted_index":{"Atlases":[0,49],"(digital":[1],"or":[2,46,167],"otherwise)":[3],"are":[4],"common":[5],"in":[6,37,100,233],"medicine.":[7],"However,":[8],"there":[9],"is":[10,23,41],"no":[11],"standard":[12],"framework":[13,136],"for":[14,87,129,138,221],"creating":[15],"them":[16],"from":[17],"medical":[18],"images.":[19],"One":[20],"traditional":[21,206],"approach":[22,109],"to":[24,32,42,144,147,150,160,173,188,202],"pick":[25],"a":[26,44,55,64,67,88,105,111,118,130,203],"representative":[27,57],"subject":[28],"and":[29,66,80,198,218,220,236],"then":[30],"proceed":[31],"label":[33],"structures/regions":[34],"of":[35,120,141,194,205,240],"interest":[36],"this":[38,92,234],"image.":[39],"Another":[40],"create":[43],"\"mean\"":[45],"average":[47],"subject.":[48],"may":[50,75,83,125],"also":[51],"contain":[52,84,126],"more":[53,116],"than":[54],"single":[56],"(e.g.,":[58,163],"the":[59,81,139,145,161,195],"Visible":[60],"Human":[61],"contains":[62],"both":[63],"male":[65],"female":[68],"data":[69,192],"set).":[70],"Other":[71],"criteria":[72],"besides":[73],"gender":[74],"be":[76,98,174,231],"used":[77],"as":[78,178,211],"well,":[79],"atlas":[82,146],"many":[85,127],"examples":[86,128],"given":[89,131],"criterion.":[90,132],"In":[91,133],"work,":[93],"we":[94],"propose":[95],"that":[96,227],"atlases":[97,124,229],"created":[99],"an":[101],"optimal":[102,228],"manner":[103,235],"using":[104,110,208,242],"well-established":[106],"graph":[107,162],"theoretic":[108],"min":[112],"spanning":[113],"tree":[114],"(or":[115],"generally,":[117],"collection":[119],"them).":[121],"The":[122],"resulting":[123],"fact,":[134],"our":[135,183],"allows":[137],"addition":[140],"new":[142],"subjects":[143],"allow":[148,171],"it":[149,172,179,187,201],"evolve":[151],"over":[152],"time.":[153],"Furthermore,":[154],"one":[155],"can":[156,230],"apply":[157],"segmentation":[158],"methods":[159,207,239],"graph-cut,":[164],"fuzzy":[165],"connectedness,":[166],"cluster":[168],"analysis)":[169],"which":[170],"separated":[175],"into":[176],"\"sub-atlases\"":[177],"evolves.":[180],"We":[181],"demonstrate":[182,226],"method":[184],"by":[185,199],"applying":[186],"50":[189],"3D":[190],"CT":[191],"sets":[193],"chest":[196],"region,":[197],"comparing":[200],"number":[204],"measures":[209],"such":[210],"Mean":[212],"Squared":[213],"Difference,":[214],"Mattes":[215],"Mutual":[216],"Information,":[217],"Correlation,":[219],"rigid":[222],"registration.":[223],"Our":[224],"results":[225],"constructed":[232],"outperform":[237],"other":[238],"construction":[241],"freely":[243],"available":[244],"software.":[245]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
