{"id":"https://openalex.org/W2181949690","doi":null,"title":"Transit Time Imaging with Flow Encoding Arterial Spin Tagging (FEAST)","display_name":"Transit Time Imaging with Flow Encoding Arterial Spin Tagging (FEAST)","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2181949690","mag":"2181949690"},"language":"en","primary_location":{"id":"mag:2181949690","doi":null,"is_oa":false,"landing_page_url":"https://cds.ismrm.org/ismrm-2003/2180.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","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/A5101657016","display_name":"Jiancong Wang","orcid":"https://orcid.org/0000-0002-3455-7750","observed_orcids":["https://orcid.org/0000-0002-3455-7750"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiancong Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3455-7750","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075101548","display_name":"David C. Alsop","orcid":"https://orcid.org/0000-0002-8206-1995","observed_orcids":["https://orcid.org/0000-0002-8206-1995"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David C. Alsop","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8206-1995","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041951976","display_name":"Hee Kwon Song","orcid":"https://orcid.org/0000-0003-3677-115X","observed_orcids":["https://orcid.org/0000-0003-3677-115X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hee Kwon Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084410531","display_name":"Joseph A. Maldjian","orcid":"https://orcid.org/0000-0002-6384-1072","observed_orcids":["https://orcid.org/0000-0002-6384-1072"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph A. Maldjian","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6384-1072","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079792922","display_name":"Kun Tang","orcid":"https://orcid.org/0009-0004-2411-7323","observed_orcids":["https://orcid.org/0009-0004-2411-7323"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Tang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0004-2411-7323","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079928581","display_name":"Mitchell D. Schnall","orcid":"https://orcid.org/0000-0001-9646-945X","observed_orcids":["https://orcid.org/0000-0001-9646-945X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitchell D. Schnall","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058192322","display_name":"John A. Detre","orcid":"https://orcid.org/0000-0002-8115-6343","observed_orcids":["https://orcid.org/0000-0002-8115-6343"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John A. Detre","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-8115-6343","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":0.21321046,"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/T10378","display_name":"Advanced MRI 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/T10378","display_name":"Advanced MRI 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/T12603","display_name":"NMR spectroscopy and applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging 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/arterial-transit-time","display_name":"arterial transit time","score":0.8299999833106995},{"id":"https://openalex.org/keywords/arterial-spin-labeling","display_name":"arterial spin labeling","score":0.8980000019073486},{"id":"https://openalex.org/keywords/continuous-arterial-spin-labeling","display_name":"continuous arterial spin labeling","score":0.8209999799728394},{"id":"https://openalex.org/keywords/cerebral-blood-flow","display_name":"cerebral blood flow","score":0.718999981880188},{"id":"https://openalex.org/keywords/cerebrovascular-disease","display_name":"cerebrovascular disease","score":0.8130000233650208},{"id":"https://openalex.org/keywords/collateral-circulation","display_name":"collateral circulation","score":0.6819999814033508},{"id":"https://openalex.org/keywords/middle-cerebral-artery","display_name":"middle cerebral artery","score":0.6859999895095825},{"id":"https://openalex.org/keywords/perfusion-mri","display_name":"perfusion MRI","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C157767197","wikidata":"https://www.wikidata.org/wiki/Q886843","display_name":"Cerebral blood flow","level":2,"score":0.7408002018928528},{"id":"https://openalex.org/C3018723549","wikidata":"https://www.wikidata.org/wiki/Q56284158","display_name":"Arterial spin labeling","level":3,"score":0.6302858591079712},{"id":"https://openalex.org/C158846371","wikidata":"https://www.wikidata.org/wiki/Q1642137","display_name":"Blood flow","level":2,"score":0.5462141633033752},{"id":"https://openalex.org/C146957229","wikidata":"https://www.wikidata.org/wiki/Q1266915","display_name":"Perfusion","level":2,"score":0.4623291492462158},{"id":"https://openalex.org/C3018129524","wikidata":"https://www.wikidata.org/wiki/Q7834377","display_name":"Transit time","level":2,"score":0.4577544927597046},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.4255429804325104},{"id":"https://openalex.org/C2776599846","wikidata":"https://www.wikidata.org/wiki/Q5145979","display_name":"Collateral circulation","level":2,"score":0.4116376042366028},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.4052135944366455},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3917751610279083},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.35554981231689453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3375113904476166},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.261942982673645},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2181949690","doi":null,"is_oa":false,"landing_page_url":"https://cds.ismrm.org/ismrm-2003/2180.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","display_name":"Good health and well-being","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2118799950","https://openalex.org/W7096094568","https://openalex.org/W2011398080","https://openalex.org/W4280646499","https://openalex.org/W2768283257","https://openalex.org/W1985261403","https://openalex.org/W3181960845","https://openalex.org/W3027426747","https://openalex.org/W2415644738","https://openalex.org/W2610172773"],"abstract_inverted_index":{"Flow":[0,423],"encoding":[1,58,192,424],"arterial":[2,13,193],"spin":[3,142,194],"tagging":[4,195],"(FEAST)":[5,196],"is":[6,95,154,298,368,370,375,382,685,751,780],"introduced":[7],"as":[8,314,726,728],"a":[9,96,222,259,383,479,493,518,537,740,744,803],"technique":[10,197,249,800],"to":[11,45,121,165,183,198,351,476],"measure":[12,199],"transit":[14,92,123,167,200,295,565,656,676,719,768,790],"time":[15,93,168,179,566,657,677,720,763,769],"(ATT),":[16],"which":[17,202,284],"can":[18,203,285,332,717],"be":[19,204,286,333,802],"derived":[20,205],"from":[21,38,206,277,336,474],"the":[22,25,41,46,70,85,104,188,207,210,253,278,299,304,307,311,321,337,352,376,417,430,434,440,511,552,604,623,644,650,674,679,688,695,706,754,759,771,789,794],"ratio":[23,208],"between":[24,209,262],"perfusion":[26,145,724,776],"signals":[27,212,339],"acquired":[28,340,472],"with":[29,56,214,238,243,258,324,341,390,468,582,592,597,649,673,687],"and":[30,51,63,66,133,149,181,215,225,264,280,326,342,348,380,449,452,461,508,532,546,554,603,611,620,625,631,701,731,786,809],"without":[31,216,343],"appropriate":[32,217,291],"bipolar":[33,54,218,344,425,498,523,594,627,662],"gradients.":[34,219,293],"The":[35,247,269,294,437,613,653,798],"mean":[36,615],"ATT":[37,616],"just":[39],"below":[40],"Circle":[42],"of":[43,61,79,87,106,115,128,159,190,273,306,331,378,439,447,459,495,505,520,530,541,558,564,655,661,668,690,705,711,743],"Willis":[44],"brain":[47],"was":[48,67,250,401,442,453,572,617,632],"approximately":[49],"1.1":[50,619],"1.4s":[52,621],"for":[53,444,456,622],"gradients":[55,345,426,441,499,524,595,628,663],"specific":[57],"velocity":[59],"(Venc)":[60],"29":[62],"8mm/sec":[64],"respectively,":[65],"shortest":[68,675],"in":[69,84,110,138,156,302,310,320,433,641,678,722,753,758,770,777,793,806],"deep":[71,680,696],"middle":[72],"cerebral":[73,129,691],"artery":[74],"(MCA)":[75],"territory.":[76],"Clinical":[77],"applications":[78,240],"FEAST":[80,248,589,712,799],"demonstrated":[81],"its":[82],"utility":[83],"diagnosis":[86],"cerebrovascular":[88,111,244,583],"disease.":[89],"Introduction":[90],"Arterial":[91,141],"(ATT)":[94],"potentially":[97],"important":[98],"physiologic":[99],"parameter":[100],"that":[101,153],"may":[102],"indicate":[103,765],"recruitment":[105],"collateral":[107,783],"flow":[108,131,191],"sources":[109],"diseases.":[112],"Dynamic":[113],"tracking":[114],"contrast":[116],"agent":[117],"has":[118],"been":[119],"used":[120],"assess":[122,166],"time.":[124],"However,":[125],"absolute":[126,150],"quantification":[127],"blood":[130,134,317,379,692,784],"(CBF)":[132],"volume":[135],"remains":[136,394],"challenging":[137],"this":[139,778],"approach.":[140],"labeling":[143,263,371],"(ASL)":[144],"MRI":[146],"provides":[147],"direct":[148,703],"CBF":[151,796],"measurement":[152],"quantifiable":[155],"classical":[157],"units":[158],"ml/g/min.":[160],"Most":[161],"existing":[162],"ASL":[163,211,255,308,560,723],"approaches":[164],"rely":[169],"on":[170,234,241,403,713],"multiple":[171],"measurements":[172],"at":[173,502,527,536,590,608],"various":[174],"delay":[175,260,539,637],"times,":[176],"thus":[177],"are":[178,699],"consuming":[180],"vulnerable":[182],"motion":[184],"artifact.":[185],"We":[186,220],"propose":[187],"use":[189],"time,":[201,296],"measured":[213],"provide":[221,729],"theoretical":[223,651],"framework":[224],"carried":[226],"out":[227],"an":[228,575],"experimental":[229,645],"validation":[230],"during":[231,413],"steady-state":[232],"imaging":[233,601],"healthy":[235,409],"subjects,":[236],"along":[237,429,596],"clinical":[239,808],"patients":[242,581,714],"disorders.":[245],"Theory":[246],"developed":[251],"using":[252,416,478,492,517,574,588],"continuous":[254],"(CASL)":[256],"approach":[257],"(w)":[261],"image":[265],"acquisi-":[266],"tion":[267],"(1).":[268],"CASL":[270,338,435,606,795],"signal":[271,309],"consists":[272],"two":[274,312,528,659],"source":[275],"contributions":[276],"vascular":[279,570,671],"microvascular":[281,322],"(tissue)":[282],"compartments":[283],"differenti-":[287],"ated":[288],"by":[289,550],"applying":[290],"spoiler":[292],",":[297],"major":[300,569],"factor":[301],"determining":[303],"proportion":[305],"compartments,":[313],"more":[315,733],"tagged":[316],"water":[318],"resides":[319],"compartment":[323],"shorter":[325],"vice":[327],"versa.":[328],"An":[329],"estimation":[330],"de-":[334],"rived":[335],"(":[346],"M'":[347,393,547],"M)":[349],"according":[350],"following":[353],"equations":[354],"(2):":[355],"M=A":[356],"f":[357,362,367],"(exp(-":[358,363],"w/T1a)-exp(-(":[359],"+w)/T1a));":[360],"M'=A":[361],"/T1a)-exp(-(":[364],"+w)/T1a))":[365],"where":[366],"CBF,":[369],"pulse":[372],"duration,":[373],"T1a":[374],"T1":[377],"A":[381],"constant.":[384],"Simulation":[385],"demonstrates":[386],"M":[387,545],"decays":[388],"exponentially":[389],"w":[391],"whereas":[392],"constant":[395],"(Fig.":[396],"1A)":[397],"Methods":[398],"MR":[399],"scanning":[400],"performed":[402,573],"1.5T":[404],"GE":[405],"Signa":[406],"scanner,":[407],"14":[408],"subjects":[410,489,514],"were":[411,427,471,490,548,585],"scanned":[412,491,587],"resting":[414],"state":[415],"standard":[418],"quadra-":[419],"ture":[420],"head":[421],"coil.":[422],"applied":[428],"slice":[431],"direction":[432],"sequence.":[436],"amplitude":[438],"0":[443],"odd":[445,553],"pair":[446,458,494,519],"label":[448,460],"control":[450,462],"acquisitions,":[451],"2.1":[454],"G/cm":[455],"even":[457,555,732],"acquisitions.":[463],"5":[464],"slices":[465],"(14mm":[466],"thick":[467],"2mm":[469],"gap)":[470],"sequentially":[473],"inferior":[475],"superior":[477],"gradient":[480],"echo":[481],"EPI":[482],"sequence":[483],"(FOV=24cm,":[484],"40x64":[485],"matrix,":[486],"TR=4s).":[487],"8":[488],"8ms":[496,593,626],"width":[497,522],"(Venc=8mm/s,":[500],"TE=39ms)":[501],"three":[503],"delays":[504,529],"0.3,":[506],"0.6":[507],"0.9s,":[509],"while":[510],"other":[512],"6":[513,580],"underwent":[515],"scans":[516],"4ms":[521,624],"(Venc=29mm/s,":[525],"TE=31ms)":[526],"0.45":[531],"0.7s.":[533],"Each":[534],"scan":[535],"particular":[538],"consisted":[540],"120":[542],"acquisitions":[543],"(8min).":[544],"obtained":[549],"averaging":[551],"num-":[556],"ber":[557],"difference":[559],"images":[561,567,725,764],"respectively.":[562],"Segmentation":[563],"into":[568],"territories":[571],"automated":[576],"ROI":[577],"analysis":[578],"(3).":[579],"diseases":[584],"also":[586,787],"w=0.8s":[591],"FLAIR,":[598],"diffision":[599],"weight":[600],"(DWI)":[602],"orignal":[605],"technqiue":[607],"w=1.5s.":[609],"Results":[610],"Discussion":[612],"global":[614],"about":[618],"respectively":[629],"(P=0.016),":[630],"very":[633,665],"stable":[634],"across":[635,670],"different":[636],"times.":[638],"As":[639],"displayed":[640],"Fig.":[642],"1,":[643],"results":[646],"match":[647],"well":[648,727],"model.":[652],"measures":[654],"under":[658],"conditions":[660],"show":[664],"similar":[666],"patterns":[667],"variation":[669],"territories,":[672],"MCA":[681,697,756,773],"territories.":[682],"This":[683],"result":[684],"consistent":[686],"neuroanatomy":[689],"supply":[693],"since":[694],"branches":[698,704],"closest":[700],"most":[702],"internal":[707],"carotid":[708],"artery.":[709],"Applications":[710],"demonstrate":[715],"it":[716],"detect":[718],"artifact":[721],"additional":[730],"sensitive":[734],"diagnostic":[735],"information.":[736],"Figure":[737],"2":[738],"shows":[739],"case":[741],"study":[742],"30":[745],"year":[746],"old":[747],"stroke":[748],"patient.":[749],"Infarct":[750],"seen":[752],"left":[755,772],"distribution":[757],"DWI":[760],"images.":[761,797],"Transit":[762],"correspondingly":[766],"prolonged":[767],"territory,":[774],"suggesting":[775],"region":[779],"maintained":[781],"through":[782],"supply,":[785],"explaining":[788],"related":[791],"hyperintensity":[792],"should":[801],"useful":[804],"tool":[805],"both":[807],"neuroscience":[810],"applications.":[811]},"counts_by_year":[],"updated_date":"2025-11-06T04:12:42.849631","created_date":"2016-06-24T00:00:00"}