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The authors analyze the processing of an inconsistent data function by the FBP algorithm (in its continuous form). Specifically, they demonstrate that an image reconstructed using the FBP algorithm can be represented as the sum of a pseudoinverse solution and a residual image generated from an inconsistent component of the measured data. This reveals that, when the original data function is in the range of the Radon transform, the image reconstructed using the FBP algorithm corresponds to the pseudoinverse solution. When the data function is inconsistent, the authors demonstrate that the FBP algorithm makes use of a nonorthogonal projection of the data function to the range of the Radon transform.