TomoPhantom (cite [SX2018]) is a toolbox to generate customisable 2D-4D phantoms (with a temporal capability) and their analytical tomographic projections for parallel-beam geometry. It can be used for testing various tomographic reconstruction methods, as well as for image processing methods, such as, denoising, deblurring, segmentation, and machine/deep learning tasks.

TomoPhantom is best-suited for testing various tomographic image reconstruction (TIR) methods. For TIR algorithms testing, the popular Shepp-Logan 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 for parallel-beam scanning geometry.

Documentation

Please check the full documentation.

Install TomoPhantom

Tomophantom is distributed as a Python conda package for Linux/Windows/Mac OS’s:

$ conda install -c httomo tomophantom

See the detailed page on Installation Guide.

SX2018

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, 2018, Pages 150-155. Download here.

Introduction

• About TomoPhantom
  • The general concept
  • What TomoPhantom can do
• Phantom Libraries

How To's

• Installation Guide
  • Python
  • Matlab

Reference guides

• API reference
  • Tomophantom Modules