BART: Computational Magnetic Resonance Imaging

Quick Links: Home, Download & Installation, Tutorials, List of Features, References & Reproducibility

bart logo reconstructed from k-space

Figure: Simulated MRI images.

The Berkeley Advanced Reconstruction Toolbox (BART) toolbox is a free and open-source image-reconstruction framework for Computational Magnetic Resonance Imaging developed by the research groups of Martin Uecker (Graz University of Technology), Jon Tamir (UT Austin), and Michael Lustig (UC Berkeley). It consists of a programming library and a toolbox of command-line programs. The library provides common operations on multi-dimensional arrays, Fourier and wavelet transforms, as well as generic implementations of iterative optimization algorithms. The command-line tools provide direct access to basic operations on multi-dimensional arrays as well as efficient implementations of many calibration and reconstruction algorithms for parallel imaging and compressed sensing.

Mailing List

Please direct all questions or comments to the public mailing list:

mrirecon list (public)

(or contact the main author: uecker at tugraz.at)

Webinar and Workshop Materials with Examples

Please see our tutorials page, which contains links to the webinars, workshops and other materials.

Quick Example

Perform ESPIRiT calibration and image reconstruction with l1-wavelet regularization:

 $ bart ecalib kspace sensitivities
 $ bart pics -l1 -r0.001 kspace sensitivities image_out

A python-based image viewer (bartview.py) which can read the BART data format is included in the source repository.

An image viewer for Linux and Mac OS X can be found here.

You can try BART directly in your browser: binder

Acknowledgements

This work is supported by NIH Grant U24EB029240.