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Eleftherios Garyfallidis
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We are excited to announce a new public release of Diffusion Imaging in Python (DIPY).

DIPY 0.12 (Tuesday, 26 June 2017)

This release received contributions from 48 developers (the full release notes are at: http://nipy.org/dipy/release0.12.html)

Highlights of this release include:

- IVIM Simultaneous modeling of perfusion and diffusion.
- MAPL, tissue microstructure estimation using Laplacian-regularized MAP-MRI.
- DKI-based microstructural modelling.
- Free water diffusion tensor imaging.
- Denoising using Local PCA.
- Streamline-based registration (SLR).
- Fiber to bundle coherence (FBC) measures.
- Bayesian MRF-based tissue classification.
- New API for integrated user interfaces.
- New hdf5 file (.pam5) for saving reconstruction results.
- Interactive slicing of images, ODFs and peaks.
- Updated API to support latest numpy versions.
- New system for automatically generating command line interfaces.
- Faster computation of cross correlation for image registration.

To upgrade, run the following command in your terminal:

pip install --upgrade dipy

or

conda install -c conda-forge dipy

This version of DIPY depends on the latest version of nibabel (2.1.0).

For any questions go to http://dipy.org, or send an e-mail to neuroimaging@python.org
We also have an instant messaging service and chat room available at https://gitter.im/nipy/dipy

On behalf of the DIPY developers,
Eleftherios Garyfallidis, Ariel Rokem, Serge Koudoro
http://dipy.org/developers.html
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In latest DIPY 0.11.0 you can find 3 new frameworks. Diffusion kurtosis imaging, affine image registration and contextual enhancement of ODFs.

With the addition of affine image registration we are now able to do both linear and nonlinear registration natively in Python without the need of calling external libraries.

Here are the relevant tutorials for the new frameworks:

http://dipy.org/examples_built/reconst_dki.html#example-reconst-dki

http://dipy.org/examples_index.html#registration

http://dipy.org/examples_built/contextual_enhancement.html#example-contextual-enhancement

Enjoy the world of cutting edge research software!! :D
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Flap flap... splash!!!
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Merry Christmas to all! Dipy will soon have a remarkable new release pushing the limits of diffusion and multi-modal registration. Want to help an incredible open source project? Ask at least 3 of your friends who may have interest in medical imaging to join the page. This page will be our basic news anchor to inform you about new features available in Dipy. Thank you all and best wishes from the Dipy developers!!!
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