MIX
Microstructure Imaging of Crossing (MIX) White Matter Fibers from Diffusion MRI
A new, versatile optimization technique enables microstructure imaging of crossing white matter fibers. Microstructure Imaging of Crossing (MIX) White Matter Fibers is a novel regression method that can characterize tissue microstructure in the brain white matter from diffusion MRI (dMRI) data. The technique is robust, versatile and utilizes the Variable Separation Method (VSM) to fit existing biophysical models with improved accuracy. A MATLAB implementation of MIX is available below and demonstrates its applicability to general microstructure models in fiber crossings using synthetic as well as ex-vivo and in-vivo brain data (All experiments from the paper are readily reproduced using the provided scripts).
Citation
Farooq H, et al. Microstructure Imaging of Crossing (MIX) White Matter Fibers from diffusion MRI. Sci Rep. 2016; 6:38927. doi: 10.1038/srep38927
Contact
If you have noticed a bug or have a request for a new feature in a future release, please contact Hamza Farooq. Be sure to include the sequence variant and the model of scanner you are using in the problem description.
Download
Version 1.0
- 01/15/2017 (v1.0): Bug fix to run NODDI example with synthetic data (Example 3 in the MIX_Installation_Guide)
References
- Farooq H, et al. Microstructure Imaging of Crossing (MIX) White Matter Fibers from diffusion MRI. Sci Rep. 2016; 6:38927. doi: 10.1038/srep38927
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