Artificial Intelligence-Based Prediction of Contrast Medium Doses for Computed Tomography Angiography Using Optimized Clinical Parameter Sets.

Journal: Methods of information in medicine
Published Date: Jan 23, 2024

Abstract

OBJECTIVES: In this paper, an artificial intelligence-based algorithm for predicting the optimal contrast medium dose for computed tomography (CT) angiography of the aorta is presented and evaluated in a clinical study. The prediction of the contrast dose reduction is modelled as a classification problem using the image contrast as the main feature.

Authors

  • Marja Fleitmann
    Artificial Intelligence in Medical Imaging, German Research Center for Artificial Intelligence, Kaiserslautern, Germany.
  • Hristina Uzunova
    Institute of Medical Informatics, University of Lübeck, Lübeck, Germany. uzunova@imi.uni-luebeck.de.
  • René Pallenberg
    Institute for Signal Processing, University of Lübeck, Schleswig-Holstein, Germany.
  • Andreas M Stroth
    Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein (UKSH) Lübeck, Lübeck, Germany.
  • Jan Gerlach
    Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein (UKSH) Lübeck, Lübeck, Germany.
  • Alexander Fürschke
    Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein (UKSH) Lübeck, Lübeck, Germany.
  • Jörg Barkhausen
    Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein (UKSH) Lübeck, Lübeck, Germany.
  • Arpad Bischof
    Department of Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein (UKSH) Lübeck, Lübeck, Germany.
  • Heinz Handels
    Institute of Medical Informatics, University of Lübeck, Lübeck, Germany.

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