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Abstract—We describe and evaluate an algorithm for image reconstruction in 3D x-ray computed tomography. The proposed algorithm is similar to the class of projected gradient methods. The gradient descent for reducing the measurement misfit term is carried out using a stochastic gradient iteration and the gradient directions are weighted using weights suggested by parallel coordinate descent.
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