A method for reconstructing two-dimensional distributions from a limited number of integrals is presented. The method can be applied for arbitrary expansions of the distribution; thus different types of distributions can be processed with different expansions. The method is numerically simple, and is especially useful for reconstructing time evolution of two-dimensional images. A comparison with maximum entropy tomography and an example of reconstructing tokamak radiation profiles in the case of impurity injection are presented.
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Zoletnik et al. (1993) studied this question.
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