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Dempster Shafer Approach for High Level Data Fusion Applied to the Assessment of Myocardial Viability

  • Chantal Muller
  • Michèle Rombaut
  • Marc Janier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2230)

Abstract

A modular data fusion system based on the Dempster-Shafer framework is presented. This system allows the building of any architecture off usion by chaining elementary modules. Two types ofmo dules are used, the numerical to symbolic conversion modules and the combination modules using logical rules ofcom bination. The uncertainty is modeled by a basic belief assignment or the plausibility of each hypothesis. We applied our system to assess the Left Ventricular (LV) myocardial viability. The parameters taken into account are the LV contractile function extracted from tagged Magnetic Resonance Images (MRI) and the glucose metabolism rate obtained by Positron Emission Tomography (PET) imaging. The variables ofin terest are defined by the medical experts. The results are displayed on polar maps to give a geometrical information of the potential lesions.

Keywords

Myocardial Viability Medical Expert Symbolic Data Fusion System Combination Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Chantal Muller
    • 1
  • Michèle Rombaut
    • 1
  • Marc Janier
    • 1
  1. 1.CREATIS UMR CNRS 5515VilleurbanneFrance

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