Abstract
A two dimensional layer of a three dimensional object can be reconstructed by means of a large number of projections through this layer using a convolution technique. The quality of the reconstructed image is limited by noise in the primary projection data. Different sources of noise have been investigated. Their influence on image quality is calculated. Ultimate limits in spatial and density resolution are derived.

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