title: Estimation and presentation of blood flow and velocity from angiographic scans in the human cerebral arterial system.
abstract: This paper provides an overview of blood flow in the arterial system and aims to estimate the blood velocity from cerebral angiography scans without having acquired data on velocity by using Murray's Law. The estimation technique post-processes the scan and provides crucial 3D visual data for the development of a visualization program of the blood flow in the human brain.
authors.affiliation: National University of Singapore (NUS), Singapore, 117576. wong.weiqin@nus.edu.sg
authors.forename: W
authors.initials: W
authors.lastname: Wong
authors.forename: T M
authors.initials: TM
authors.lastname: Le
authors.forename: I
authors.initials: I
authors.lastname: Volkau
authors.forename: A
authors.initials: A
authors.lastname: Thirunavuukarasuu
authors.forename: H P
authors.initials: HP
authors.lastname: Ng
authors.forename: W L
authors.initials: WL
authors.lastname: Nowinski
mesh_terms: D000465:Algorithms; D001783:Blood Flow Velocity / Q000502:physiology*; D001921:Brain / Q000098:blood supply / Q000502:physiology*; D002533:Cerebral Angiography / Q000379:methods*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D003196:Computer Graphics; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D014584:User-Computer Interface