title: Visualization of MR angiographic data with segmentation and volume-rendering techniques.
abstract: Novel image processing and computer graphics techniques were developed to create three-dimensional (3D) models of vasculature from magnetic resonance (MR) angiographic images of the head or neck. Region growing was used to produce a mask that isolated the vascular signal in the MR angiographic data. The masked images were subjected to gradient-shaded volume rendering to create 3D views of the vasculature. The computer-derived model of intracranial vasculature was then merged with a 3D model of brain parenchyma derived from a set of MR images. The combined display of vascular and gyral anatomy may be useful for neurosurgical planning.
authors.affiliation: Department of Radiology, University of Chicago Hospitals, IL 60637.
authors.forename: X
authors.initials: X
authors.lastname: Hu
authors.forename: N
authors.initials: N
authors.lastname: Alperin
authors.forename: D N
authors.initials: DN
authors.lastname: Levin
authors.forename: K K
authors.initials: KK
authors.lastname: Tan
authors.forename: M
authors.initials: M
authors.lastname: Mengeot
mesh_terms: D001921:Brain / Q000098:blood supply*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging