Python library for the analysis of diffusion MRI datasets


DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging.

Here are some of the highlights:
 - Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE
   and MAPMRI
 - Fiber tracking algorithms: deterministic and probabilistic
 - Native linear and nonlinear registration of images
 - Fast operations on streamlines (selection, resampling, registration)
 - Tractography segmentation and clustering
 - Many image operations, e.g., reslicing or denoising with NLMEANS
 - Estimation of distances/correspondences between streamlines and
   connectivity matrices
 - Interactive visualization of streamlines in the space of images

This package contains the Python 3 version.

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