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Eleftherios Garyfallidis
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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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Dipy featured at The Scientist magazine.
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