scilus/scilpy

Preprocessing of diffusion MRI

DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

A suite of tools for medical image processing focused on brain analysis

MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

A Tractography Tool for Diffusion MRI

Brain Imaging Analysis Kit

Doing non-Cartesian MR Imaging has never been so easy.

Common workflows for MRI (anatomical, functional, diffusion, etc)

Harmonization tools for multi-site neuroimaging analysis. Implemented as a python package. Harmonization of MRI, sMRI, dMRI, fMRI variables with support for NIFTI images. Complements the work in Neuroimage by Pomponio et al. (2019).