{"id":"https://openalex.org/W1974463337","doi":"https://doi.org/10.1117/12.481155","title":"A method for non-rigid registration of diffusion tensor magnetic resonance images","display_name":"A method for non-rigid registration of diffusion tensor magnetic resonance images","publication_year":2003,"publication_date":"2003-05-16","ids":{"openalex":"https://openalex.org/W1974463337","doi":"https://doi.org/10.1117/12.481155","mag":"1974463337"},"language":"en","primary_location":{"id":"doi:10.1117/12.481155","doi":"https://doi.org/10.1117/12.481155","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.481155","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/A5019472772","display_name":"Jeffrey Duda","orcid":"https://orcid.org/0000-0002-5031-5735","observed_orcids":["https://orcid.org/0000-0002-5031-5735"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey T. Duda","raw_affiliation_strings":["Univ. of Pennsylvania (United States)","University of Pennsylvania UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"University of Pennsylvania UNITED STATES","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060459506","display_name":"Mariano Rivera","orcid":"https://orcid.org/0000-0002-3211-2467","observed_orcids":["https://orcid.org/0000-0002-3211-2467"]},"institutions":[{"id":"https://openalex.org/I124618812","display_name":"Mathematics Research Center","ror":"https://ror.org/02nhmp827","country_code":"MX","type":"facility","lineage":["https://openalex.org/I124618812"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mariano Rivera","raw_affiliation_strings":["Ctr. de Investigacion en Matematicas, A.C. (Mexico)","Ctr. de Investigaci\u00f3n en Matem\u00e1ticas, A.C. (Mexico)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ctr. de Investigacion en Matematicas, A.C. (Mexico)","institution_ids":["https://openalex.org/I124618812"]},{"raw_affiliation_string":"Ctr. de Investigaci\u00f3n en Matem\u00e1ticas, A.C. (Mexico)","institution_ids":["https://openalex.org/I124618812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033449704","display_name":"Daniel C. Alexander","orcid":"https://orcid.org/0000-0003-2439-350X","observed_orcids":["https://orcid.org/0000-0003-2439-350X"]},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Daniel C. Alexander","raw_affiliation_strings":["Univ. College London (United Kingdom)","University College, London, United Kingdom;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. College London (United Kingdom)","institution_ids":["https://openalex.org/I45129253"]},{"raw_affiliation_string":"University College, London, United Kingdom;","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005451810","display_name":"James C. Gee","orcid":"https://orcid.org/0000-0002-2258-0187","observed_orcids":["https://orcid.org/0000-0002-2258-0187"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Gee","raw_affiliation_strings":["Univ. of Pennsylvania (United States)","University of Pennsylvania UNITED STATES"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"University of Pennsylvania UNITED STATES","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13591894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5032","issue":null,"first_page":"1186","last_page":"1186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.7656000256538391,"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":0.7656000256538391,"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":0.21619999408721924,"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":0.0052999998442828655,"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/non-rigid-registration","display_name":"non-rigid registration","score":0.8550000190734863},{"id":"https://openalex.org/keywords/diffusion-tensor-imaging","display_name":"diffusion tensor imaging","score":0.9359999895095825},{"id":"https://openalex.org/keywords/neighborhood-similarity","display_name":"neighborhood similarity","score":0.6100000143051147},{"id":"https://openalex.org/keywords/orientation-preservation","display_name":"orientation preservation","score":0.6269999742507935},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.8700000047683716},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"synthetic data","score":0.3840000033378601}],"concepts":[{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.8192280530929565},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7742083072662354},{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.6992345452308655},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.688273012638092},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5747281312942505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5374539494514465},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5057284832000732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.493809312582016},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.48740842938423157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4747757613658905},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4743465483188629},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4689604341983795},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4687172472476959},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.46573272347450256},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46273788809776306},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4314887523651123},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3751981854438782},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3518167734146118},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34669315814971924},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2886109948158264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27620047330856323},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20003950595855713},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15166181325912476},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1413336992263794},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.481155","doi":"https://doi.org/10.1117/12.481155","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.481155","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"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:215854","doi":null,"is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/215854/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of SPIE - The International Society for Optical Engineering , 5032 I pp. 1186-1196. (2003)","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332505","display_name":"U.S. Public Health Service","ror":"https://ror.org/05xf94514"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1870962477","https://openalex.org/W1963623641","https://openalex.org/W2013091225","https://openalex.org/W2022530159","https://openalex.org/W2060489052","https://openalex.org/W2138943050","https://openalex.org/W2142900310","https://openalex.org/W2145132952","https://openalex.org/W2157035009"],"related_works":["https://openalex.org/W1537537567","https://openalex.org/W2017789052","https://openalex.org/W2131173886","https://openalex.org/W1938710241","https://openalex.org/W1596591320","https://openalex.org/W7098915816","https://openalex.org/W2370614948","https://openalex.org/W1493665854","https://openalex.org/W1515145095","https://openalex.org/W2117530148"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,10,36,51,84,107,110,122,131,145,153],"this":[3,136],"study":[4],"was":[5,79,116],"to":[6,46,64,112,118,164],"examine":[7],"the":[8,48,60,67,72,91,108,120,123,132,143,154],"registration":[9],"diffusion":[11,73],"tensor":[12,26,55,74],"magnetic":[13],"resonance":[14],"images.":[15],"A":[16],"method":[17,31,78,137,155],"for":[18,169],"estimating":[19],"a":[20,33,41,82],"smooth,":[21],"continuous":[22],"mapping":[23],"between":[24],"two":[25],"images":[27],"is":[28,57,75],"presented.":[29],"This":[30,77],"includes":[32],"tensor-to-tensor":[34],"measure":[35,44],"similarity":[37,43,93],"as":[38,40,156,158],"well":[39,157],"neighborhood":[42],"intended":[45],"preserve":[47],"relative":[49],"position":[50],"adjacent":[52],"structures.":[53],"Additionally,":[54,104],"reorientation":[56],"integrated":[58],"into":[59],"algorithm":[61],"in":[62,99,142,146],"order":[63],"insure":[65,119],"that":[66,90],"structural":[68],"information":[69],"provided":[70],"by":[71],"retained.":[76],"tested":[80],"on":[81,171],"variety":[83],"synthetic":[85],"data":[86],"sets.":[87],"Experiments":[88],"indicate":[89],"orientation":[92],"term":[94],"plays":[95],"an":[96,105],"important":[97],"role":[98],"both":[100],"accuracy":[101],"and":[102],"speed.":[103],"investigation":[106],"effect":[109],"signal":[111],"noise":[113],"ratio":[114],"(SNR)":[115],"conducted":[117],"usefulness":[121,141],"methods":[124],"at":[125],"clinically":[126],"obtainable":[127],"values.":[128],"Qualitative":[129],"examination":[130,144],"results":[133],"obtained":[134],"with":[135],"suggest":[138],"its":[139,167],"potential":[140],"vivo":[147],"human":[148],"data,":[149],"but":[150],"some":[151],"extension":[152],"further":[159],"testing":[160],"will":[161],"be":[162],"necessary":[163],"fully":[165],"understand":[166],"limitations":[168],"use":[170],"clinical":[172],"data.":[173]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-09-21T07:43:02.447757","created_date":"2016-06-24T00:00:00"}