NeuTomPy toolbox, a Python package for tomographic data processing and reconstruction

Abstract In this article we present the NeuTomPy Toolbox, a new Python package for tomographic data processing and reconstruction. The toolboxincludes pre-processing algorithms, artifacts removal and a wide range of iterative reconstructionmethods as well as the Filtered Back Projection algorithm. The NeuTomPy toolboxwas conceived primarily for neutron tomographydatasets and developed to support the need of users and researchers to compare state-of-the-art reconstruction methods and choose the optimal data processing workflow for their data. In fact, in several cases sparse-view datasets are acquired to reduce scan time during a neutron tomographyexperiment. Hence, there is great interest in improving quality of the reconstructed images by means of iterative methods and advanced image-processing algorithms. The toolboxhas a modular design, multi-threading capabilities and it supports Windows, Linux and Mac OSoperating systems. The NeuTomPy toolboxis open source and it is released under the GNU General Public License v3, encouraging researchers and developers to contribute. In this paper we present an overview of the main toolboxfunctionalities and finally we show a typical usage example.