Update README.md

README.md

@@ -89,7 +89,7 @@ Any Spherical Mean model can also estimate parametric FODs.
 - [Spherical Mean Technique [Kaden et al. 2015]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_spherical_mean_technique.ipynb)
 - [Multi-Compartment Microscopic Diffusion Imaging [Kaden et al. 2016]](http://nbviewer.jupyter.org/github/AthenaEPI/mipy/blob/master/examples/example_multi_compartment_spherical_mean_technique.ipynb)
 ### Spherical Deconvolution-Based Models
-Constrained spherical deconvolution (CSD) models are primarily used for Fiber Orientation Distribution (FOD) estimation. Multi-compartment CSD models improve FOD estimation by separating the signal contributions of white matter from CSF and grey matter.
+Constrained spherical deconvolution (CSD) models are primarily used for Fiber Orientation Distribution (FOD) estimation. Multi-Tissue CSD models improve FOD estimation by separating WM/GM/CSF signal contributions using multiple tissue response functions.
 - [Multi-Shell Multi-Compartment CSD [model-based version of Jeurissen et al. 2014]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_multi_compartment_constrained_spherical_deconvolution.ipynb)
 - [Multi-Shell Multi-Tissue CSD with Unsupervised 3-Tissue Response Function Estimation [Jeurissen 2014, Dhollander 2016a]](http://nbviewer.jupyter.org/github/AthenaEPI/dmipy/blob/master/examples/example_multi_tissue_constrained_spherical_deconvolution.ipynb)
 - [Single-Shell (1 shell + b0) Multi-Tissue CSD [Dhollander et al. 2016b]](https://github.com/AthenaEPI/dmipy/blob/master/examples/example_single_shell_three_tissue_csd.ipynb)