Abstract
A method of to mographic reconstruction is proposed that uses a priori known anisotropy of layered samples to reduce the amount of necessary projection data significantly. We show that an anisotropic scanning geometry, in accordance with the known anisotropy of a sample, allows the accurate reconstruction of the sample from the data of only a few angular projections with sufficiently fine translational step. A generic model for a particular class of samples with layered structure is presented, and the corresponding reconstruction algorithm is developed and tested on simulated and experimental data.
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