NeuTomPy toolbox is a Python package for tomographic data processing and reconstruction. Such toolbox includes pre-processing algorithms, artifacts removal and a wide range of iterative reconstruction methods as well as the Filtered Back Projection algorithm. The NeuTomPy toolbox was conceived primarily for Neutron Tomography 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.
NeuTomPy toolbox supports Linux, Windows and Mac OS 64-bit operating systems.
First of all, install a conda python environment with Python 3.6 and then activate it:
conda create -n ntp_env python=3.6
conda activate ntp_env
Install some dependencies:
conda install -c simpleitk simpleitk
conda install scikit-image
conda install ipython numexpr astropy tifffile mkl_fft tqdm
conda install -c astra-toolbox astra-toolbox
pip install opencv-python read-roi
pip install -U numpy
Finally, install NeuTomPy toolbox via pip
:
pip install neutompy
NB: If a segmentation fault occurs when importing NeuTomPy, install PyQt5 via pip
:
pip install PyQt5
To update a NeuTomPy installation to the latest version run:
pip install neutompy --upgrade
Complete documentation can be found on Read the Docs: https://neutompy-toolbox.readthedocs.io.
Tutorials and code examples of typical usage can be found in the folder examples.
A sample dataset for testing purpose can be found here. This dataset includes neutron radiographs of a phantom sample acquired at the IMAT beamline, ISIS neutron spallation source, UK.
If you use the NeuTomPy toolbox for your research, please cite the following paper:
D. Micieli, T. Minniti, G. Gorini, “NeuTomPy toolbox, a Python package for tomographic data processing and reconstruction”, SoftwareX, Volume 9 (2019), pp. 260-264, https://doi.org/10.1016/j.softx.2019.01.005.
The project is licensed under the GPLv3 license.
If you want to contact us for any reasons, please send an email to: neutompy@gmail.com