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

Documentation is a good place to start.

Install TomoPhantom

TomoPhantom is distributed as a conda package in Python for Linux & Windows:

$ conda install -c httomo tomophantom

See the detailed installation 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
• Where to start?

How To's

• Installation Guide
  • Python
  • Matlab
• Build Phantoms
• Use Phantom Libraries
  • Library file for 2D phantoms
  • Library file for 3D phantoms
• Use Artefacts Simulator

Tutorials

• Phantoms using models
• Model 2D and reconstruction
  • Using TomoPhantom to:
• Model 3D and reconstruction
  • Using TomoPhantom to:
• Phantoms using objects
• Stochastic phantom 2D and reconstruction
  • Using TomoPhantom to:

Reference guides

• Library files API
  • Library files for 2D models
  • Library files for 3D models
  • Dynamic phantoms API
• Object API
  • Parameters of 2D objects explained
  • Parameters of 2D objects in library file
  • Defining 2D objects in Python
  • Parameters of 3D objects explained
  • Parameters of 3D objects in library file
  • Defining 3D objects in Python
• Glossary
  • Model
  • Dynamic model
  • Object
  • Random Phantoms
  • Library files
• API reference
  • Tomophantom Modules