 |
 |
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 Eleftherios Garyfallidis