{"id":"https://openalex.org/W2187360902","doi":null,"title":"White matter fibre tractography in multiple sclerosis using diffusion tensor imaging.","display_name":"White matter fibre tractography in multiple sclerosis using diffusion tensor imaging.","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W2187360902","mag":"2187360902"},"language":"en","primary_location":{"id":"mag:2187360902","doi":null,"is_oa":false,"landing_page_url":"https://cds.ismrm.org/ismrm-2001/PDF5/1420.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},"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/A5064633866","display_name":"Christopher R. Tench","orcid":"https://orcid.org/0000-0001-9067-0494","observed_orcids":["https://orcid.org/0000-0001-9067-0494"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christopher R. Tench","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9067-0494","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005948442","display_name":"Martin Wilson","orcid":"https://orcid.org/0000-0002-2089-3956","observed_orcids":["https://orcid.org/0000-0002-2089-3956"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martin Wilson","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2089-3956","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.798,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73905555,"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/T10137","display_name":"Multiple Sclerosis Research Studies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Clinical Neurology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-sclerosis","display_name":"multiple sclerosis","score":0.8980000019073486},{"id":"https://openalex.org/keywords/diffusion-tensor-imaging","display_name":"diffusion tensor imaging","score":0.972000002861023},{"id":"https://openalex.org/keywords/relative-anisotropy","display_name":"relative anisotropy","score":0.9150000214576721},{"id":"https://openalex.org/keywords/white-matter-lesions","display_name":"white matter lesions","score":0.718999981880188},{"id":"https://openalex.org/keywords/disease-burden","display_name":"disease burden","score":0.7250000238418579},{"id":"https://openalex.org/keywords/tract-length","display_name":"tract length","score":0.41999998688697815},{"id":"https://openalex.org/keywords/white-matter-anisotropy","display_name":"white matter anisotropy","score":0.7039999961853027}],"concepts":[{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.8218122720718384},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.7255250215530396},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.7003711462020874},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6414297819137573},{"id":"https://openalex.org/C89916169","wikidata":"https://www.wikidata.org/wiki/Q17014600","display_name":"Fractional anisotropy","level":4,"score":0.5289509296417236},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.46348315477371216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43394869565963745},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4137353003025055},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.41275736689567566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3736782968044281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29674720764160156},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1763235330581665},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.1671079397201538},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11512118577957153},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.09608086943626404},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2187360902","doi":null,"is_oa":false,"landing_page_url":"https://cds.ismrm.org/ismrm-2001/PDF5/1420.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":[{"id":"https://metadata.un.org/sdg/3","score":0.8199999928474426,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2032011764","https://openalex.org/W2142900310","https://openalex.org/W2170120409"],"related_works":["https://openalex.org/W2916502897","https://openalex.org/W2997387327","https://openalex.org/W2391001991","https://openalex.org/W3031580468","https://openalex.org/W2136299124","https://openalex.org/W7101120144","https://openalex.org/W7097462986","https://openalex.org/W2020028069","https://openalex.org/W2005985505","https://openalex.org/W7100568316"],"abstract_inverted_index":{"In":[0,74],"white":[1,34,75,153,305],"matter":[2,35,76,154,306],"diffusion":[3,15,41],"is":[4,67,85,134,202,245,324],"highly":[5],"anisotropic":[6],"with":[7,52],"the":[8,13,20,39,65,68,77,100,114,120,128,132,148,152,166,185,193,207,255,272,283],"direction":[9],"of":[10,64,90,96,130,159,183,188,206,230,241,254,268],"highest":[11],"diffusivity,":[12],"principle":[14,40],"vector,":[16],"being":[17],"parallel":[18],"to":[19,48,88,112,147,215,303,314],"fibre":[21,101,273,307],"tracts.":[22,102,274],"We":[23],"have":[24,292],"developed":[25],"an":[26,266,310],"algorithm":[27,66],"for":[28,71],"finding":[29],"trajectories":[30,115,214,226],"which":[31,227],"follow":[32],"specific":[33],"tracts":[36,308],"by":[37,287,326],"utilizing":[38],"vector.":[42],"The":[43,60,204,239,252,301],"method":[44,95,182,209],"has":[45,107,143,156],"been":[46,109],"used":[47,110,264],"study":[49],"25":[50],"patients":[51],"multiple":[53,157],"sclerosis":[54],"(MS)":[55],"and":[56,218,263,286,298],"13":[57],"control":[58],"subjects.":[59],"most":[61],"important":[62],"aspect":[63],"stopping":[69,131,242],"criteria":[70],"each":[72,197,243],"trajectory.":[73],"relative":[78],"anisotropy":[79],"(RA),":[80],"as":[81,116,235,265],"defined":[82],"in":[83,125,169,271],"(1),":[84],"high":[86],"compared":[87],"that":[89],"gray":[91,123,236],"matter,":[92],"providing":[93],"a":[94,180,189,315],"detecting":[97],"deviations":[98],"from":[99,176,309],"A":[103],"simple":[104],"thresholding":[105,167],"technique":[106,142,168],"previously":[108],"(2)":[111],"terminate":[113],"they":[117],"pass":[118,216],"into":[119],"low":[121,232],"RA":[122,195,233],"matter;":[124],"this":[126,141,170],"case":[127,171],"burden":[129,240,270],"trajectory":[133,244,256],"placed":[135],"on":[136,192],"just":[137],"one":[138],"voxel.":[139],"However,":[140],"problems":[144],"when":[145],"applied":[146],"MS":[149,222,297],"brain":[150],"where":[151],"typically":[155],"lesions":[158,175],"high,":[160],"but":[161],"relatively":[162],"isotropic,":[163],"diffusivity.":[164],"Using":[165],"would":[172],"simply":[173],"exclude":[174],"any":[177],"analysis.":[178],"Here":[179],"new":[181,208],"determining":[184],"end":[186],"point":[187,198,312,317],"trajectory,":[190],"based":[191],"compound":[194],"at":[196,257],"along":[199,282],"its":[200,248],"path,":[201],"defined.":[203],"advantages":[205],"are:":[210],"1)":[211],"It":[212],"allows":[213],"through,":[217],"enables":[219],"sampling":[220,276],"of,":[221],"lesions.":[223],"2)":[224],"Terminates":[225],"enter":[228],"regions":[229],"very":[231],"such":[234],"matter.":[237],"3)":[238],"spread":[246],"throughout":[247],"entire":[249],"length.":[250],"4)":[251],"length":[253],"termination,":[258],"Lt,":[259],"may":[260],"be":[261],"measured":[262],"indicator":[267],"disease":[269],"By":[275],"different":[277],"magnetic":[278],"resonance":[279],"(MR)":[280],"parameters":[281],"resulting":[284],"trajectories,":[285],"analyzing":[288],"their":[289],"length,":[290],"we":[291],"found":[293],"significant":[294],"differences":[295],"between":[296],"controls.":[299],"Methods":[300],"procedure":[302],"map":[304],"initial":[311],"r0":[313],"final":[316],"rN,":[318],"through":[319],"all":[320],"intermediate":[321],"points":[322],"rn,":[323],"summarized":[325],"rn+1=rn+Vn.":[327]},"counts_by_year":[],"updated_date":"2026-10-02T10:15:12.560889","created_date":"2016-06-24T00:00:00"}