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Adapted Transfer Function Design for Coronary Artery Evaluation

  • Conference paper
Bildverarbeitung für die Medizin 2009

Part of the book series: Informatik aktuell ((INFORMAT))

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Abstract

We present an approach for adapted transfer function (TF) specification to highlight pathologic changes of the coronary artery vessel wall based on contrast medium-enhanced computed tomography (CT) datasets. The TFs are combined with common visualization techniques for the evaluation of coronary arteries in CT image data. The presented mapping of CT values in Hounsfield Units (HU) to optical properties such as color and opacity leads to a different color coding for different plaque types.

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Author information

Authors and Affiliations

  1. Department of Simulation and Graphics, University of Magdeburg, Germany

    Sylvia Glaßer, Steffen Oeltze & Bernhard Preim

  2. MeVis Research GmbH, Bremen

    Anja Hennemuth

  3. Centre of Radiology, University Hospital, Magdeburg

    Skadi Wilhelmsen

Authors
  1. Sylvia Glaßer
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  2. Steffen Oeltze
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  3. Anja Hennemuth
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  4. Skadi Wilhelmsen
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  5. Bernhard Preim
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Editor information

Editors and Affiliations

  1. Abteilung für Medizinische und Biologische Informatik, Deutsches Krebsforschungszentrum, H0100 Im Neuenheimer Feld 280, 69120, Heidelberg

    Hans-Peter Meinzer

  2. Institut für Medizinische Informatik, Rheinisch-Westfälische Technische Hochschule Aachen Universitätsklinikum Aachen, Pauwelsstraße 30, 52074, Aachen

    Thomas Martin Deserno

  3. Institut für Medizinische Informatik, Universität Hamburg Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg

    Heinz Handels

  4. Institut für Medizinische Informatik, Charité — Universitätsmedizin Berlin, Hindenburgdamm 30, 12200, Berlin

    Thomas Tolxdorff

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© 2009 Springer-Verlag Berlin Heidelberg

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Glaßer, S., Oeltze, S., Hennemuth, A., Wilhelmsen, S., Preim, B. (2009). Adapted Transfer Function Design for Coronary Artery Evaluation. In: Meinzer, HP., Deserno, T.M., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2009. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93860-6_1

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