The paper proposes a Bayesian 3D ultrasound reconstruction/estimation from non-uniform ultrasound observations, non-Gaussian data fidelity term, and total variation (TV) based prior. To compute the maximum a posteriori (MAP) solution, we introduce a generalized expectation maximization (GEM) algorithm, which converges to the exact MAP solution in the case of convex data fidelity term. A set of experiments illustrates the effectiveness of the method.


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    Titel :

    Minimum total variation in 3D ultrasound reconstruction


    Beteiligte:
    Sanches, J. (Autor:in) / Bioucas-Dias, J.M. (Autor:in) / Marques, J.S. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    2095911 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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