Phantomas - Simulate realistic diffusion MRI Phantom - Emmanuel Caruyer homepage — CNRS Researcher, Univ Rennes, Inria, CNRS, IRISA (UMR 6074), Empenn ERL 1228, Rennes FR-35042.

New: You can test the Web interface to phantom creation for phantomas #betaversion #commentswelcome #contributionswelcome.

Create realistic Diffusion MRI Phantom

Phantomαs is an open-source library written in C/Python designed to create realistic phantoms in structural and diffusion magnetic resonance imaging (MRI). An early version of Phantomαs was used to create the testing and training data of the 2nd HARDI Reconstruction Challenge, organized at ISBI 2013.

Digital phantom in diffusion MRI: (from left to right) fiber geometries, T1-weighted image, ground truth fiber orientation distribution, an example of fiber tracking result.

Getting started with Phantomas

Dependencies

Phantomαs is written in Python with parts in C. You will need Python 2.7, and Cython installed on your computer.

Besides, Phantomas depends on:

Optionally, for visualization you may also need:

VTK (with Python wrapping)
matplotlib

Build instructions

Phantomas is hosted on GitHub, so first you will need to get the latest version of Phantomas.

To install, simply run the setup.py script. Under linux, simply run (as root)

# python setup.py install

First steps with Phantomas

Phantomas provides a number of scripts, and examples. The main script is phantomas_dwis. For more info on a script, type:

$ phantomas_dwis -h

Phantomas documentation

Phantomas provides an API to ease integration into your own software or scripts. The API documentation of Phantomas is now available. Phanomas will be presented at the ISMRM 2014 annual meeting; you can download the ISMRM abstract.