[Mne_analysis] Dipy 0.7.1 is now available!

[Eleftherios Garyfallidis]

Dear all,

We are very happy to announce another major release of Diffusion Imaging in
Python (Dipy).

http://dipy.org

Here we list some of the major new features:

*0.7.1 *(Thursday, 16 Jan 2014)

*Reconstruction*

* Constrained Spherical Deconvolution (CSD).
* Simple Harmonic Oscillator based Reconstruction and Estimation (SHORE).
* Sharpening Deconvolution Transform (SDT).
* Signal-to-noise ratio estimation.
* RESTORE fitting for DTI.
* Westin's Tensor maps.

*Tracking*

* Enabled automated seeding in masks.
* Streamline filtering through specific ROIs using `target`.

*Segmentation*

* Brain and foreground extraction using median_otsu.

*Visualization*

* Streamtube visualization.
* Simultaneous peaks and ODF visualization.

*Connectivity *

* Connectivity matrices and density maps.

*Parallel processing*

* Parallel processing is possible for all reconstruction models using
`peaks_from_model`.

*Data access*

* Access to more publicly available datasets directly through Dipy
 functions.

*Installation*

* Installing Dipy is now easier and more universal.
* Available with pip, easy_install, neurodebian and other methods.
  http://dipy.org/installation.html

*Overall*

* 3x more tutorials than previous release.
  http://dipy.org/examples_index.html
* 2x more contributors from the previous release.
  http://dipy.org/developers.html


Yours sincerely,

On behalf of all Dipy developers
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