• DocumentCode
    811052
  • Title

    Survey of the Visual Exploration and Analysis of Perfusion Data

  • Author

    Preim, Bernhard ; Oeltze, Steffen ; Mlejnek, M. ; Gröller, Eduard ; Hennemuth, Anja ; Behrens, Sarah

  • Author_Institution
    Dept. of Simulation & Graphics, Univ. of Magdeburg, Magdeburg
  • Volume
    15
  • Issue
    2
  • fYear
    2009
  • Firstpage
    205
  • Lastpage
    220
  • Abstract
    Dynamic contrast-enhanced image data (perfusion data) are used to characterize regional tissue perfusion. Perfusion data consist of a sequence of images, acquired after a contrast agent bolus is applied. Perfusion data are used for diagnostic purposes in oncology, ischemic stroke assessment or myocardial ischemia. The diagnostic evaluation of perfusion data is challenging, since the data is complex and exhibits various artifacts, e.g., motion artifacts. We provide an overview on existing methods to analyze, and visualize CT and MR perfusion data. The integrated visualization of several 2D parameter maps, the 3D visualization of parameter volumes and exploration techniques are discussed. An essential aspect in the diagnosis of perfusion data is the correlation between perfusion data and derived time-intensity curves as well as with other image data, in particular with high resolution morphologic image data. We discuss visualization support with respect to the three major application areas: ischemic stroke diagnosis, breast tumor diagnosis and the diagnosis of coronary heart disease.
  • Keywords
    biology computing; haemorheology; medical image processing; 3D visualization; breast tumor diagnosis; contrast agent bolus; coronary heart disease; diagnostic evaluation; dynamic contrast-enhanced image data; high resolution morphologic image data; ischemic stroke assessment; ischemic stroke diagnosis; myocardial ischemia; oncology; perfusion data; regional tissue perfusion; time-intensity curves; visual exploration; visualization support; Biomedical imaging; Blood flow; Cardiac disease; Computed tomography; Data analysis; Data visualization; Morphology; Neoplasms; Pathology; Spatial resolution; Applications; Life and Medical Sciences; Multivariate visualization; Visualization; Visualization techniques and methodologies; Volume visualization; Automatic Data Processing; Brain; Computer Graphics; Heart; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Cardiovascular; Perfusion Imaging; Tomography, Emission-Computed; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2008.95
  • Filename
    4569838