{"id":"https://openalex.org/W2152815777","doi":"https://doi.org/10.1142/s0218001497000603","title":"Modeling Cortical Sulci with Active Ribbons","display_name":"Modeling Cortical Sulci with Active Ribbons","publication_year":1997,"publication_date":"1997-12-01","ids":{"openalex":"https://openalex.org/W2152815777","doi":"https://doi.org/10.1142/s0218001497000603","mag":"2152815777"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001497000603","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001497000603","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5110257478","display_name":"George Le Goualher","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"George Le Goualher","raw_affiliation_strings":["Laboratoire SIM, Facult\u00e9 de M\u00e9decine,  Universit\u00e9 de Rennes I, 35043 RENNES Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire SIM, Facult\u00e9 de M\u00e9decine,  Universit\u00e9 de Rennes I, 35043 RENNES Cedex, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066059428","display_name":"Christian Barillot","orcid":"https://orcid.org/0000-0002-1589-7696"},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christian Barillot","raw_affiliation_strings":["Laboratoire SIM, Facult\u00e9 de M\u00e9decine,  Universit\u00e9 de Rennes I, 35043 RENNES Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire SIM, Facult\u00e9 de M\u00e9decine,  Universit\u00e9 de Rennes I, 35043 RENNES Cedex, France","institution_ids":["https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037182744","display_name":"Y. Bizais","orcid":null},"institutions":[{"id":"https://openalex.org/I161929037","display_name":"Universit\u00e9 de Bretagne Occidentale","ror":"https://ror.org/01b8h3982","country_code":"FR","type":"education","lineage":["https://openalex.org/I161929037"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yves Bizais","raw_affiliation_strings":["Laboratoire de Biophysique, Facult\u00e9  de M\u00e9decine, Universit\u00e9 de Bretagne Occidentale,  BP\u2009815, 29285 BREST Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire de Biophysique, Facult\u00e9  de M\u00e9decine, Universit\u00e9 de Bretagne Occidentale,  BP\u2009815, 29285 BREST Cedex, France","institution_ids":["https://openalex.org/I161929037"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.675,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.98063088,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"08","first_page":"1295","last_page":"1315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9506999850273132,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9452000260353088,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6961086392402649},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6469602584838867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6247835159301758},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6155605316162109},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5837146639823914},{"id":"https://openalex.org/keywords/sulcus","display_name":"Sulcus","score":0.5474633574485779},{"id":"https://openalex.org/keywords/anatomy","display_name":"Anatomy","score":0.4381195306777954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3591281771659851},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17639875411987305}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6961086392402649},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6469602584838867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6247835159301758},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6155605316162109},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5837146639823914},{"id":"https://openalex.org/C2777132076","wikidata":"https://www.wikidata.org/wiki/Q2560248","display_name":"Sulcus","level":2,"score":0.5474633574485779},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.4381195306777954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3591281771659851},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17639875411987305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001497000603","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001497000603","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W2110230079","https://openalex.org/W1982826852","https://openalex.org/W2613186388","https://openalex.org/W1967061043"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,14,42],"method":[3],"for":[4],"the":[5,18,38,77,82,90,96,99,103,107,110,120,128,132,138,143,154,157,165,169,184,188,193,212,226],"3D":[6,151],"segmentation":[7,59,149],"and":[8,146,200],"representation":[9],"of":[10,41,76,81,89,98,106,122,131,153,168,174,187,195,206,228],"cortical":[11,19,22,170,189],"folds":[12],"with":[13],"special":[15],"emphasis":[16],"on":[17,73,127,137],"sulci.":[20],"These":[21],"structures":[23,171,197],"are":[24,31,92],"represented":[25],"using":[26,62],"\"active":[27],"ribbons\".":[28],"Active":[29,177],"ribbons":[30,178],"built":[32],"from":[33,52,70,102],"active":[34,100],"surfaces,":[35],"which":[36],"represent":[37],"median":[39],"surface":[40],"particular":[43],"sulcus":[44],"filled":[45],"by":[46,172,209],"CSF.":[47],"Sulci":[48],"modeling":[49],"is":[50,60,141],"obtained":[51],"MRI":[53,84,158],"acquisitions":[54],"(usually":[55],"T1":[56],"images).":[57],"The":[58,86],"performed":[61],"an":[63,229],"automatic":[64],"labeling":[65,121],"procedure":[66,113],"to":[67,94,109,125,182,191,202,215,224],"separate":[68],"gyri":[69],"sulci":[71,91,126,155],"based":[72],"curvature":[74],"analysis":[75],"different":[78],"iso-intensity":[79],"surfaces":[80],"original":[83],"volume.":[85],"outer":[87,104],"parts":[88,105],"used":[93,181],"initialize":[95],"convergence":[97],"ribbon":[101],"brain":[108,133,217],"interior.":[111],"This":[112],"has":[114],"two":[115],"advantages:":[116],"first,":[117],"it":[118],"permits":[119],"voxels":[123],"belonging":[124],"external":[129],"part":[130],"as":[134,136,161,163],"well":[135,162],"inside":[139],"(which":[140],"often":[142],"hardest":[144],"point)":[145],"secondly,":[147],"this":[148],"allows":[150],"visualization":[152],"in":[156,198],"volumetric":[159],"environment":[160],"showing":[164],"sophisticated":[166],"shapes":[167],"means":[173],"isolated":[175],"surfaces.":[176],"can":[179],"be":[180],"study":[183],"complicated":[185],"shape":[186,199],"anatomy,":[190],"model":[192],"variability":[194],"these":[196],"position,":[201],"assist":[203],"nonlinear":[204],"registrations":[205],"human":[207],"brains":[208],"locally":[210],"controlling":[211],"warping":[213],"procedure,":[214],"map":[216],"neurophysiological":[218],"functions":[219],"into":[220],"morphology":[221],"or":[222],"even":[223],"select":[225],"trajectory":[227],"intra-sulci":[230],"(virtual)":[231],"endoscope.":[232]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
