Chappell M.A.Okell T.W.Payne S.J.Jezzard P.Woolrich M.W.STEPHEN JOHN PAYNE2022-05-242022-05-242012https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859419543&doi=10.1016%2fj.media.2011.12.004&partnerID=40&md5=ae66e3babe5e464b559f4c83a21bf3c8https://scholars.lib.ntu.edu.tw/handle/123456789/611810Arterial spin labelling (ASL) MRI offers a non-invasive means to create blood-borne contrast in vivo for dynamic angiographic imaging. By spatial modulation of the ASL process it is possible to uniquely label individual arteries over a series of measurements, allowing each to be separately identified in the resulting angiographic images. This separation requires appropriate analysis for which a general Bayesian framework has previously been proposed. Here this framework is adapted for clinical dynamic angiographic imaging. This specifically addresses the issues of computational speed of the algorithm and the robustness required to deal with real patient data. An algorithm is proposed that can incorporate planning information about the arteries being imaged whilst adapting for subsequent patient movement. A fast maximum a posteriori solution is adopted and shown to be only marginally less accurate than Monte Carlo sampling under simulation. The final algorithm is demonstrated on in vivo data with analysis on a time scale of the order of 10. min, from both a healthy control and a patient with a vertebro-basilar occlusion. ? 2011 Elsevier B.V.Analysis methodAngiographic imagesArterial spinBayesian frameworksBlood flowCerebral arteriesComputational speedHealthy controlsIn-vivoMaximum a posterioriMonte Carlo samplingNon-invasive imagingPatient dataPatient movementPlanning informationSpatial modulationsTime-scalesVessel selectiveAlgorithmsAngiographyHospital data processingMagnetic resonance imagingMonte Carlo methodsalgorithmanalytic methodangiographyarticlebrain arterybrain blood flowcase reportcontrolled studyhumanimage analysisimage processingnon invasive measurementpriority journalspin labelingvelocityvertebral artery stenosisBlood Flow VelocityCerebral ArteriesCerebrovascular CirculationHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyReproducibility of ResultsSensitivity and SpecificitySpin LabelsVertebrobasilar Insufficiency[SDGs]SDG3A fast analysis method for non-invasive imaging of blood flow in individual cerebral arteries using vessel-encoded arterial spin labelling angiographyjournal article10.1016/j.media.2011.12.0042-s2.0-84859419543