{"id":"https://openalex.org/W2169317486","doi":"https://doi.org/10.1109/isbi.2010.5490292","title":"Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data","display_name":"Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2169317486","doi":"https://doi.org/10.1109/isbi.2010.5490292","mag":"2169317486"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","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/A5054546014","display_name":"Ran Shadmi","orcid":"https://orcid.org/0000-0001-5925-0176"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"R. Shadmi","raw_affiliation_strings":["Department of Biomedical Engineering, Tel-Aviv University, Ramat-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tel-Aviv University, Ramat-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047294219","display_name":"Arnaldo Mayer","orcid":"https://orcid.org/0000-0003-3702-1764"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"A. Mayer","raw_affiliation_strings":["Department of Biomedical Engineering, Tel-Aviv University, Ramat-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tel-Aviv University, Ramat-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030076264","display_name":"Nir Sochen","orcid":"https://orcid.org/0000-0001-7805-5560"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"N. Sochen","raw_affiliation_strings":["Department of Applied Mathematics, Tel-Aviv University, Ramat-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Tel-Aviv University, Ramat-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078473649","display_name":"Hayit Greenspan","orcid":"https://orcid.org/0000-0001-6908-7552"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"H. Greenspan","raw_affiliation_strings":["Department of Biomedical Engineering, Tel-Aviv University, Ramat-Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Tel-Aviv University, Ramat-Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054546014"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":0.2422,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64964818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"528","last_page":"531"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9832000136375427,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9829999804496765,"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/smoothness","display_name":"Smoothness","score":0.7064181566238403},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.554102897644043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5497987866401672},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.491489052772522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.476297527551651},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.47036120295524597},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46972405910491943},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.46390554308891296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4519568979740143},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4389798939228058},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4376524090766907},{"id":"https://openalex.org/keywords/energy-functional","display_name":"Energy functional","score":0.42773470282554626},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4192425012588501},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23303717374801636},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19809585809707642},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10828393697738647}],"concepts":[{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.7064181566238403},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.554102897644043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5497987866401672},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.491489052772522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.476297527551651},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.47036120295524597},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46972405910491943},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.46390554308891296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4519568979740143},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4389798939228058},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4376524090766907},{"id":"https://openalex.org/C191640071","wikidata":"https://www.wikidata.org/wiki/Q5377056","display_name":"Energy functional","level":2,"score":0.42773470282554626},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4192425012588501},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23303717374801636},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19809585809707642},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10828393697738647},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2010.5490292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.699999988079071,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1875854697","https://openalex.org/W1997222702","https://openalex.org/W2010719245","https://openalex.org/W2036785860","https://openalex.org/W2109060361","https://openalex.org/W2110463399","https://openalex.org/W2121135966","https://openalex.org/W2127610265","https://openalex.org/W2139158372","https://openalex.org/W4251320132","https://openalex.org/W6676791907"],"related_works":["https://openalex.org/W2381926679","https://openalex.org/W2007009951","https://openalex.org/W2082644203","https://openalex.org/W2350539780","https://openalex.org/W3165040664","https://openalex.org/W3122652148","https://openalex.org/W1583866266","https://openalex.org/W3097078770","https://openalex.org/W4302598424","https://openalex.org/W2507690919"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,27,46],"variational":[6],"probabilistic":[7],"approach":[8],"to":[9],"the":[10,22,33,61,64,76,86,92,97,100,107,114],"registration":[11,139],"of":[12,35,41,75,85,94,113,126],"brain":[13],"white":[14],"matter":[15],"tractographies":[16],"extracted":[17],"from":[18],"DT-MRI":[19],"scans.":[20],"Initially,":[21],"fibers":[23],"are":[24,70],"projected":[25],"into":[26],"D-dimensional":[28],"feature":[29],"space":[30],"based":[31],"on":[32,129],"sequence":[34],"their":[36],"spatial":[37,104],"coordinates.":[38],"The":[39,67,82,110],"alignment":[40,83,115],"two":[42],"fiber-sets":[43],"is":[44,88,119],"considered":[45],"probability":[47],"density":[48],"estimation":[49],"problem,":[50],"where":[51],"one":[52],"point-set":[53],"represents":[54,63],"Gaussian":[55],"Mixture":[56],"Model":[57],"(GMM)":[58],"centroids,":[59],"and":[60,116],"other":[62],"data":[65,132],"points.":[66],"transformation":[68,80],"parameters":[69],"represented":[71],"as":[72],"spatially-dependent":[73],"coefficients":[74],"same":[77],"invertible":[78],"affine":[79],"model.":[81],"term":[84,102],"energy-function":[87],"minimized":[89,120],"by":[90],"maximizing":[91],"likelihood":[93],"correspondence":[95],"between":[96],"data-sets":[98],"while":[99],"smoothness":[101,117],"penalizes":[103],"changes":[105],"in":[106],"coefficient":[108],"functions.":[109],"energy-function,":[111],"composed":[112],"terms,":[118],"using":[121],"gradient":[122],"descent":[123],"optimization.":[124],"Results":[125],"preliminary":[127],"experiments":[128],"inter-subject":[130],"full-brain":[131],"show":[133],"improvement":[134],"over":[135],"global":[136],"linear":[137],"(affine)":[138],"schemes.":[140]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}