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

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Functional Imaging and Modeling of the Heart (FIMH 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2230))

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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.

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References

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Author information

Authors and Affiliations

  1. CREATIS UMR CNRS 5515, 69621, Villeurbanne, France

    Chantal Muller, Michèle Rombaut & Marc Janier

Authors
  1. Chantal Muller
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  2. Michèle Rombaut
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  3. Marc Janier
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Editor information

Editors and Affiliations

  1. Helsinki University of Technology, Institute of Biomedical Engineering, P.O.Box 2200, 02015, Finland

    Toivo Katila  & Jukka Nenonen  & 

  2. bâtiment Blaise Pascal, CREATIS, CNRS, INSA, 20, boulevard Albert Einstein, 69621, Villeurbanne cedex, France

    Isabelle E. Magnin , Patrick Clarysse  & Johan Montagnat ,  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Muller, C., Rombaut, M., Janier, M. (2001). Dempster Shafer Approach for High Level Data Fusion Applied to the Assessment of Myocardial Viability. In: Katila, T., Nenonen, J., Magnin, I.E., Clarysse, P., Montagnat, J. (eds) Functional Imaging and Modeling of the Heart. FIMH 2001. Lecture Notes in Computer Science, vol 2230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45572-8_15

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  • DOI: https://doi.org/10.1007/3-540-45572-8_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42861-9

  • Online ISBN: 978-3-540-45572-1

  • eBook Packages: Springer Book Archive

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