A VST-based denoising framework for removing thermal noise in magnitude MR imageseries.

You can start by running denoisingDemo.m to see how the denoising method would work for a simulated diffusion dataset.

If you use this code for your work, please consider citing the following paper:

X. Ma, K. Uğurbil, and X. Wu, Denoise magnitude diffusion magnetic resonance images via variance-stabilizing transformation and optimal singular-value manipulation. NeuroImage, 2020. 215: p. 116852. https://doi.org/10.1016/j.neuroimage.2020.116852

The code is made publicly available at https://github.com/XiaodongMa-MRI/Denoising/releases

This software is copyrighted by the Regents of the University of Minnesota. It can be freely used for educational and research purposes by non-profit institutions and US government agencies only. Other organizations are allowed to use this software only for evaluation purposes, and any further uses will require prior approval. The software may not be sold or redistributed without prior approval. One may make copies of the software for their use provided that the copies, are not sold or distributed, are used under the same terms and conditions. As unestablished research software, this code is provided on an "as is'' basis without warranty of any kind, either expressed or implied. The downloading, or executing any part of this software constitutes an implicit agreement to these terms. These terms and conditions are subject to change at any time without prior notice.