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Python library for the analysis of diffusion MRI datasets


Dipy is a toolbox for the analysis of diffusion magnetic resonance imaging data. It features:
 - Reconstruction algorithms, e.g. GQI, DTI
 - Tractography generation algorithms, e.g. EuDX
 - Intelligent downsampling of tracks
 - Ultra fast tractography clustering
 - Resampling datasets with anisotropic voxels to isotropic
 - Visualizing multiple brains simultaneously
 - Finding track correspondence between different brains
 - Warping tractographies into another space, e.g. MNI space
 - Reading many different file formats, e.g. Trackvis or NIfTI
 - Dealing with huge tractographies without memory restrictions
 - Playing with datasets interactively without storing


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