In this work, we suggest and discuss several new algorithms for iterative image reconstruction in emission tomography. The new iterative formulas allow varying the rate of convergence and image corruption by adjusting the parameters of the algorithms.


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    Title :

    Statistical approach to inverse problems in emission tomography with Poisson data


    Contributors:
    Denisova, N. (author) / Ruzankin, P. (author) / Lim, Y. (author) / Fomin, Vasily (editor) / Shiplyuk, Alexander (editor)

    Conference:

    INTERNATIONAL CONFERENCE ON THE METHODS OF AEROPHYSICAL RESEARCH (ICMAR 2020) ; 2020 ; Novosibirsk, Russia


    Published in:

    Publication date :

    2021-05-24


    Size :

    5 pages





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Local statistical regularization method for solving image reconstruction problems in emission Tomography with Poisson data

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