{"id":"https://openalex.org/W2189291485","doi":null,"title":"Tractography of Multiple Fibre Orientation in Diffusion Tensor Imaging using Automatic Relevance Determination","display_name":"Tractography of Multiple Fibre Orientation in Diffusion Tensor Imaging using Automatic Relevance Determination","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2189291485","mag":"2189291485"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.413.5649","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.5649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijetae.com/files/Volume3Issue6/IJETAE_0613_42.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5033961785","display_name":"N. Herald","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Herald","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030970786","display_name":"Anantha Rufus","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anantha Rufus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"D. Selvathi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. Selvathi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/diffusion-tractography","display_name":"diffusion tractography","score":0.6690000295639038},{"id":"https://openalex.org/keywords/diffusion-spectrum-imaging","display_name":"diffusion spectrum imaging","score":0.8090000152587891},{"id":"https://openalex.org/keywords/automatic-relevance-determination","display_name":"automatic relevance determination","score":0.9539999961853027},{"id":"https://openalex.org/keywords/white-matter","display_name":"white matter","score":0.597000002861023},{"id":"https://openalex.org/keywords/model-complexity","display_name":"model complexity","score":0.6510000228881836}],"concepts":[{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.8848273754119873},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.7887842655181885},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7107381224632263},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6743829250335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131150484085083},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5074099898338318},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5019016265869141},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.459827184677124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4572529196739197},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.43299970030784607},{"id":"https://openalex.org/C166077713","wikidata":"https://www.wikidata.org/wiki/Q1758924","display_name":"Tensor field","level":3,"score":0.42031168937683105},{"id":"https://openalex.org/C2993925342","wikidata":"https://www.wikidata.org/wiki/Q28457374","display_name":"Fiber tract","level":4,"score":0.4117127060890198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41005292534828186},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3533739447593689},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.33889883756637573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33108341693878174},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23543953895568848},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13568341732025146},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13467440009117126},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1324179768562317},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11764141917228699},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.08320754766464233},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.413.5649","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.5649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ijetae.com/files/Volume3Issue6/IJETAE_0613_42.pdf","raw_type":"text"},{"id":"mag:2189291485","doi":null,"is_oa":false,"landing_page_url":"https://www.ijetae.com/files/Volume3Issue6/IJETAE_0613_42.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1584786814","https://openalex.org/W1601238429","https://openalex.org/W1968392604","https://openalex.org/W1988954604","https://openalex.org/W1997161422","https://openalex.org/W2009756525","https://openalex.org/W2012780654","https://openalex.org/W2017375738","https://openalex.org/W2029145696","https://openalex.org/W2037039643","https://openalex.org/W2075323263","https://openalex.org/W2080198834","https://openalex.org/W2080618012","https://openalex.org/W2084363893","https://openalex.org/W2096629649","https://openalex.org/W2096670924","https://openalex.org/W2110431535","https://openalex.org/W2110798659","https://openalex.org/W2116136260","https://openalex.org/W2122868775","https://openalex.org/W2127497713","https://openalex.org/W2131478329","https://openalex.org/W2134578292","https://openalex.org/W2142059961","https://openalex.org/W2158402095","https://openalex.org/W2170288393"],"related_works":["https://openalex.org/W1481690341","https://openalex.org/W2185458639","https://openalex.org/W2000133863","https://openalex.org/W7099939197","https://openalex.org/W2131346734","https://openalex.org/W2012065213","https://openalex.org/W2231524338","https://openalex.org/W2099977405","https://openalex.org/W2320107787","https://openalex.org/W2386916513"],"abstract_inverted_index":{"Abstract":[0],"\u2014":[1],"Diffusion":[2],"tensor":[3],"imaging":[4],"(DTI)":[5],"has":[6,76],"become":[7],"an":[8],"indispensable":[9],"tool":[10],"for":[11],"studying":[12],"white":[13],"matter":[14],"both":[15],"in":[16,20,68,80],"normal":[17],"populations":[18,21],"and":[19,116],"with":[22],"brain":[23],"disorders.":[24],"This":[25],"paper":[26],"describes":[27],"a":[28,69,77,109],"direct":[29,78],"extension":[30],"of":[31,38,49,51,66,94],"diffusion":[32],"spectrum":[33],"magnetic":[34],"resonance":[35],"image":[36],"tractography":[37],"multiple":[39],"fibre":[40,52],"orientation.":[41],"Using":[42],"this":[43],"data":[44,57],"the":[45,56,64,81,92,96,112,120],"on":[46],"line":[47],"selection":[48],"number":[50],"orientations":[53],"supported":[54],"by":[55],"at":[58],"each":[59],"voxel":[60],"are":[61],"performed,":[62],"simplifying":[63],"problem":[65],"tracking":[67],"multiorientation":[70],"field.":[71],"The":[72,105],"multi":[73],"fiber":[74,83],"approach":[75,122],"equivalent":[79],"single":[82],"case,":[84],"but":[85,119],"it":[86],"can":[87],"be":[88],"able":[89],"to":[90,126],"assess":[91],"advantages":[93],"increasing":[95],"local":[97],"model":[98],"complexity,":[99],"while":[100],"other":[101],"factors":[102],"remain":[103],"constant.":[104],"dominant":[106],"pathway":[107],"from":[108],"region":[110],"remains":[111],"same":[113],"between":[114],"single-":[115],"multi-fibre":[117,121],"approaches,":[118],"is":[123],"more":[124],"sensitive":[125],"secondary":[127],"or":[128],"subordinate":[129],"pathways.":[130]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2016-06-24T00:00:00"}