LORAKS: Implementation and Examples

This page provides a MATLAB software implementation and examples for the Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) technique originally described in:

J. P. Haldar.
Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS) for Constrained MRI.
IEEE Transactions on Medical Imaging 33:668-681, 2014.
[link] [preprint]

In addition to the MATLAB implementation of a LORAKS-based algorithm, the download also includes multiple demonstrations that illustrate the power and flexibility of the LORAKS framework in the contexts of MRI reconstruction and multiband signal reconstruction. The software and demonstrations are comprehensively described (including example outputs) in the following technical report:

J. P. Haldar.
Low-Rank Modeling of Local k-Space Neighborhoods (LORAKS): Implementation and Examples for Reproducible Research.
University of Southern California, Los Angeles, CA,
Technical Report USC-SIPI-414, April 2014.

One example of an output from this software is shown below, demonstrating the ability of LORAKS to reconstruct sparsely-sampled data that is acquired with a highly-structured sampling pattern:

LORAKS_resultThe software can be downloaded using the form below:


This code is licensed under the CC Attribution-Noncommercial-Share Alike 3.0 License. You are required to cite at least the original LORAKS paper and the LORAKS implementation technical report if you use this code or its derivatives in your own work.

In no event shall the University of Southern California, the Authors, or the Distributors be liable to any party for direct, indirect, special, incidental, or consequential damages, including lost profits, arising out of the use of this software, its documentation, or any derivatives thereof, even if the authors have been advised of the possibility of such damage. The University of Southern California, the Authors, and the Distributors specifically disclaim any warranties, including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement. This software is provided on an "as is" basis, and the authors and distributors have no obligation to provide maintenance, support, updates, enhancements, or modifications. This software is for research purposes only and has not been approved for clinical use.

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