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A probabilistic model of X-ray computed tomography
We consider a discrete stochastic process, indexed by lines through the unit disk in the plane, which models the observed photon counts in a medical X-ray tomography scan. We first prove a functional law of large numbers, showing that this process converges in $L^2$ to the X-ray transform of the und
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