Dear all, We are very happy to announce a new release of Diffusion Imaging in Python (DIPY)
Here is a quick summary of our new features. DIPY 0.9.2 (Wednesday, 18 March 2015) * Anatomically Constrained Tissue Classifiers for Tracking * Massive speedup of Constrained Spherical Deconvolution (CSD) * Recursive calibration of response function for CSD * New experimental framework for clustering * Improvements and 10X speedup for Quickbundles * Improvements in Linear Fascicle Evaluation (LiFE) * New implementation of Geodesic Anisotropy * New efficient transformation functions for registration * Sparse Fascicle Model supports acquisitions with multiple b-values Detailed release notes can be found here: http://dipy.org/release0.9.html Enjoy the upgrade. If you are using Pypi you just need to do: *pip install --upgrade dipy* For any questions go to http://dipy.org, or https://neurostars.org or send an e-mail to nipy-de...@neuroimaging.scipy.org DIPY will be an official exhibitor at HBM 2015 in Honolulu. Come and meet us! On behalf of the DIPY developers, Eleftherios Garyfallidis http://dipy.org/developers.html
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