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About TomoPhantom
-
TomoPhantom is recommended for various image processing tasks that require extensive numerical testing: image reconstruction, denoising, deblurring, etc. In particular, TomoPhantom is best-suited for testing various tomographic image reconstruction (TIR) methods. For TIR algorithms testing, the popular Shepp-Logan phantom is not always a good choice due to its piecewise-constant nature. This toolbox provides a simple modular approach to efficiently build customisable 2D-4D phantoms consisting of piecewise-constant, piecewise-smooth, and smooth analytical objects as well as their analytical Radon transforms .
-
-
-
-### What **TomoPhantom** can do:
- * Generate 2D and 3D synthetic phantoms made of Gaussians, parabolas, ellipses, cones and rectangulars.
- * Generate simple temporal extensions of 2D and 3D phantoms.
- * Calculate analytical Radon transforms of 2D-4D models and also their numerical projections.
- * Model a variety of tomographic data artefacts (noise models, zingers, rings, shifts, partial volume effect and others).
-
-### Installation:
-Tomophantom is distributed as a Python conda package for Linux/Windows/Mac OS's:
-```
-conda install -c httomo tomophantom
-```
-Please see more detailed information on [installation](INSTALLATION.md) and development environments.
-
-
-#### License:
-TomoPhantom is released under [Apache License v.2](http://www.apache.org/licenses/LICENSE-2.0). Note that some demos where ['ASTRA-toolbox'](http://www.astra-toolbox.com/) is used are of GPLv3 license and also BSD-3 license for [TomoPy](http://tomopy.readthedocs.io/en) package.
-
-### Related software projects on GitHub:
-- [xdesign](https://github.com/tomography/xdesign) XDesign is an open-source Python package for generating configurable simulation phantoms for benchmarking tomographic image reconstruction.
-- [syris](https://github.com/ufo-kit/syris) Syris (synchrotron radiation imaging simulation) is a framework for simulations of X-ray absorption and phase contrast dynamic imaging experiments, like time-resolved radiography, tomography or laminography.
-
-### References:
-
-[1] [D. Kazantsev et al. 2018, *TomoPhantom, a software package to generate 2D-4D analytical phantoms for CT image reconstruction algorithm benchmarks*, Software X, Volume 7, January–June 2018, Pages 150–155](https://doi.org/10.1016/j.softx.2018.05.003)
-
-[2] [D. Kazantsev, V. Pickalov "New iterative reconstruction methods for fan-beam tomography", IPSE, 2017](https://doi.org/10.1080/17415977.2017.1340946)
-
-### Applications:
-* [TOmographic MOdel-BAsed Reconstruction (ToMoBAR)](https://github.com/dkazanc/ToMoBAR)
-* [Joint image reconstruction method with correlative multi-channel prior for X-ray spectral computed tomography](https://github.com/dkazanc/multi-channel-X-ray-CT)
-* [Deep learning segmentation of synthetic tomographic data using Pytorch U-net](https://github.com/dkazanc/U-Net-tomography)
-
-Software related questions/comments please e-mail to Daniil Kazantsev at dkazanc@hotmail.com
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-.. |Generic badge| image:: https://github.com/dkazanc/TomoPhantom/actions/workflows/tomophantom_conda_upload/badge.svg
- :target:
+.. |build-status| image:: ttps://github.com/dkazanc/TomoPhantom/actions/workflows/tomophantom_conda_upload/badge.svg?style=svg
+ :alt: build status
+ :target: ttps://github.com/dkazanc/TomoPhantom/actions/workflows/tomophantom_conda_upload.yaml
**TomoPhantom** (cite [SX2018]_) is a toolbox to generate customisable 2D-4D phantoms
(with a temporal capability) and their analytical tomographic projections