Zeegers
- Felix Lucka
- Kees Joost Batenburg
bibliography:
- 'biblio.bib'
title: 'A Multi-channel DART Algorithm'
---

Introduction {#sec:Intro}
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Tomography is a non-invasive technique for creating 2D or 3D images of the inner structure of an object. Projections of the object are acquired by sending photonic or particle beams (e.g. X-rays, electrons, neutrons) through the object in a particular direction and measuring the signal resulting from interaction of the beam and the object at a detector. By acquiring this data from multiple positions and under various angles, a collection of projections is obtained. An image of the interior of the object is then reconstructed by applying a reconstruction algorithm to this projection data. Tomography is successfully used in many fields, including medical imaging [@Hsieh] and electron tomography in materials science [@Electronv2; @Midgley]. If a large number of accurate projection images are available, solving the reconstruction problem is straightforward by a closed-form inversion formula [@Buzug]. Practical constraints on the dose, acquisition time or available space can impose limitations on the number of projections that can be taken, the angular range, or the noise level of the data, resulting in artefacts in the reconstructed images if standard reconstruction methods are used 