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Green Image
Issue No. 02 - March/April (2009 vol. 15)
ISSN: 1077-2626
pp: 205-220
Bernhard Preim , University of Magdeburg, Magdeburg
Steffen Oeltze , University of Magdeburg, Magdeburg
Matej Mlejnek , AGFA Healthcare, Vienna
Eduard Gröeller , Vienna University of Technology, Vienna
Anja Hennemuth , MeVis Research, Bremen
Sarah Behrens , MeVis Medical Solutions, Bremen
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.
Life and Medical Sciences, Visualization, Applications, Multivariate visualization, Visualization techniques and methodologies, Volume visualization

B. Preim, S. Behrens, S. Oeltze, M. Mlejnek, A. Hennemuth and E. Gröeller, "Survey of the Visual Exploration and Analysis of Perfusion Data," in IEEE Transactions on Visualization & Computer Graphics, vol. 15, no. , pp. 205-220, 2008.
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