BART: Computational Magnetic Resonance Imaging
Quick Links: Home, Download & Installation, Tutorials, Webinars, List of Features, References & Reproducibility
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:
(or contact the main author: uecker at tugraz.at)
Webinar and Workshop Materials with Examples
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: 
Acknowledgements
This work is supported by NIH Grant U24EB029240.