{"id":"https://openalex.org/W2132406188","doi":"https://doi.org/10.1109/isbi.2008.4541097","title":"Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data","display_name":"Sift-based sequence registration and flow-based cortical vessel segmentation applied to high resolution optical imaging data","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2132406188","doi":"https://doi.org/10.1109/isbi.2008.4541097","mag":"2132406188"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2008.4541097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"preprint","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/A5037171998","display_name":"Micka\u00ebl P\u00e9chaud","orcid":null},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Mickael Pechaud","raw_affiliation_strings":["Department dInformatique, Ecole Normale Superieure, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department dInformatique, Ecole Normale Superieure, Paris, France","institution_ids":["https://openalex.org/I29607241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033367098","display_name":"Ivo Vanzetta","orcid":"https://orcid.org/0000-0003-3294-0809"},"institutions":[{"id":"https://openalex.org/I21491767","display_name":"Aix-Marseille Universit\u00e9","ror":"https://ror.org/035xkbk20","country_code":"FR","type":"education","lineage":["https://openalex.org/I21491767"]},{"id":"https://openalex.org/I4210120493","display_name":"Laboratoire de Neurosciences Cognitives","ror":"https://ror.org/02dg3n954","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I21491767","https://openalex.org/I4210096427","https://openalex.org/I4210120493"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ivo Vanzetta","raw_affiliation_strings":["Institut deNeurosciences Cognitives dela Mediterranee, Aix Marseille University, Marseilles, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut deNeurosciences Cognitives dela Mediterranee, Aix Marseille University, Marseilles, France","institution_ids":["https://openalex.org/I4210120493","https://openalex.org/I21491767"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087129690","display_name":"Thomas Deneux","orcid":"https://orcid.org/0000-0002-9330-7655"},"institutions":[{"id":"https://openalex.org/I29607241","display_name":"\u00c9cole Normale Sup\u00e9rieure - PSL","ror":"https://ror.org/05a0dhs15","country_code":"FR","type":"other","lineage":["https://openalex.org/I2746051580","https://openalex.org/I29607241"]},{"id":"https://openalex.org/I53964585","display_name":"Weizmann Institute of Science","ror":"https://ror.org/0316ej306","country_code":"IL","type":"education","lineage":["https://openalex.org/I53964585"]}],"countries":["FR","IL"],"is_corresponding":false,"raw_author_name":"Thomas Deneux","raw_affiliation_strings":["Department dInformatique, Ecole Normale Superieure, Paris, France","Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department dInformatique, Ecole Normale Superieure, Paris, France","institution_ids":["https://openalex.org/I29607241"]},{"raw_affiliation_string":"Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel","institution_ids":["https://openalex.org/I53964585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111878926","display_name":"Renaud Keriven","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renaud Keriven","raw_affiliation_strings":["Ecole desponts, Certis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole desponts, Certis, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037171998"],"corresponding_institution_ids":["https://openalex.org/I29607241"],"apc_list":null,"apc_paid":null,"fwci":1.4197,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84196308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"720","last_page":"723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9764999747276306,"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":0.9764999747276306,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9764999747276306,"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":0.9703999757766724,"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/computer-vision","display_name":"Computer vision","score":0.762739896774292},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.731705904006958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7095966339111328},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.705206036567688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6443236470222473},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5443578958511353},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5323061943054199},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5306246280670166},{"id":"https://openalex.org/keywords/blood-flow","display_name":"Blood flow","score":0.5263268351554871},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5169726610183716},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4897441864013672},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4156973361968994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4040970206260681},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2094554603099823}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.762739896774292},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.731705904006958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7095966339111328},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.705206036567688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443236470222473},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5443578958511353},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5323061943054199},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5306246280670166},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.5263268351554871},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5169726610183716},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4897441864013672},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4156973361968994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4040970206260681},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2094554603099823},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2008.4541097","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2008.4541097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W132869805","https://openalex.org/W1530987197","https://openalex.org/W2054113582","https://openalex.org/W2096506581","https://openalex.org/W2114175807","https://openalex.org/W2123526233","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2614835259","https://openalex.org/W6605395728"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W2087391438","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W2739923608"],"abstract_inverted_index":{"Several":[0],"functional":[1],"and":[2,11,63,81,87],"biomedical":[3],"imaging":[4,105],"techniques":[5],"rely":[6],"on":[7,91],"determining":[8],"hemodynamic":[9],"variables":[10],"their":[12,88],"changes":[13],"in":[14,71,128,161,180],"large":[15,66],"vascular":[16,162],"networks.":[17],"To":[18],"do":[19],"so":[20],"at":[21,115],"micro-vascular":[22],"resolution":[23,118],"requires":[24],"taking":[25],"into":[26],"account":[27],"the":[28,39,44,48,129,151,174,177,181],"-":[29,35],"usually":[30],"small":[31],"but":[32],"often":[33],"non-rigid":[34,73],"mechanical":[36],"deformations":[37],"of":[38,68,107,124,176],"imaged":[40],"vasculature":[41],"induced":[42],"by":[43,134,157],"cardiac":[45],"pulsation":[46],"and/or":[47],"sub-":[49],"jects'body":[50],"movements.":[51],"Here,":[52],"we":[53],"present":[54],"two":[55],"new":[56],"algorithmic":[57],"approaches,":[58],"allowing":[59],"(i)":[60],"to":[61,83,103,146,170],"efficiently":[62],"accurately":[64],"co-register":[65],"sets":[67],"such":[69],"images":[70],"a":[72,95,135,147,172],"manner":[74],"using":[75,94],"Scale-Invariant":[76],"Feature":[77],"Transform":[78],"(SIFT)":[79],"keypoints,":[80],"(ii)":[82],"extract":[84],"blood":[85,126,178],"vessels":[86],"diameters":[89],"based":[90],"blood-flow":[92],"information":[93],"fast":[96],"marching":[97],"algorithm.":[98],"These":[99],"methods":[100,167],"were":[101],"applied":[102],"optical":[104],"data":[106],"intrinsic":[108],"signals":[109],"from":[110],"awake":[111],"monkey":[112],"visual":[113],"cortex":[114],"high":[116],"spatiotemporal":[117],"(30":[119],"mum,":[120],"5ms).":[121],"The":[122],"movement":[123],"red":[125],"cells":[127],"sequences":[130],"could":[131,142],"be":[132,143],"enhanced":[133],"Beer-Lambert-based":[136],"image":[137],"preprocessing.":[138],"Our":[139],"SIFT-based":[140],"registration":[141],"directly":[144],"compared":[145],"rigid":[148],"registration,":[149],"whereas":[150],"vessel":[152],"extraction":[153],"algorithm":[154],"was":[155],"tested":[156],"verifying":[158],"flow":[159],"conservation":[160],"branching":[163],"points.":[164],"Finally,":[165],"both":[166],"together":[168],"proved":[169],"improve":[171],"lot":[173],"estimation":[175],"velocity":[179],"vessels.":[182]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}
