Quasi-one-dimensional tomography

Abstract

A method of tomographic 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. © 1996 Optical Society of America.