• DocumentCode
    1194366
  • Title

    Volume rendering of multimodal images: application to MRI and PET imaging of the human brain

  • Author

    Valentino, Daniel J. ; Mazziotta, John C. ; Huang, H.K.

  • Author_Institution
    Sch. of Med., California Univ., Los Angeles, CA, USA
  • Volume
    10
  • Issue
    4
  • fYear
    1991
  • fDate
    12/1/1991 12:00:00 AM
  • Firstpage
    554
  • Lastpage
    562
  • Abstract
    A procedure for combining and visualizing complementary structural and functional information from magnetic resonance imaging (MRI) and positron emission tomography (PET) is described. MR and PET images of the human brain were obtained and correlated to form three-dimensional volumes of image data. Volume rendering and solid-texturing concepts were combined to develop a new volume imaging technique for `volume texture-mapping´ brain glucose metabolism (from PET) onto brain anatomy (from MRI). The technique was used to produce sequences of three-dimensional views: these sequences were dynamically displayed in a `cine-loop´ to better visualize the three-dimensional relationship between brain structure and function. The techniques provide a means of presenting vast amounts of multidimensional data in a form that is easily understood, and the resulting images are essential to an understanding of the normal and pathologic states of the human brain
  • Keywords
    biomedical NMR; brain; computerised tomography; radioisotope scanning and imaging; 3D view sequences; 3D volumes; PET imaging; brain anatomy; brain glucose metabolism; complementary information; functional information; human brain; magnetic resonance imaging; medical diagnostic imaging; multimodal images; normal state; pathological state; positron emission tomography; structural information; volume rendering; volume texture-mapping; Anatomy; Biochemistry; Brain; Data visualization; Humans; Magnetic resonance imaging; Multidimensional systems; Positron emission tomography; Rendering (computer graphics); Sugar;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.108590
  • Filename
    108590