InformAI
Precision Medical Diagnostics and Predictive Clinical Decision Support.

Advanced tools for the analysis of diffusion-weighted MRI data and structural connectivity.
MRtrix3 is a comprehensive, open-source software suite designed for the processing and analysis of diffusion-weighted MRI (dMRI) data. Built on a modular C++ framework, it is engineered for high performance and scalability in neuroimaging research. As of 2026, it remains the premier platform for Constrained Spherical Deconvolution (CSD), allowing researchers to resolve multiple fiber orientations within a single voxel—a critical requirement for high-angular resolution diffusion imaging (HARDI). The software is particularly renowned for its implementation of Anatomically-Constrained Tractography (ACT) and Spherical-deconvolution Informed Filtering of Tractograms (SIFT/SIFT2), which address the inherent biases in tractography to provide biologically accurate connectivity estimates. Its architecture supports a wide array of formats (NIfTI, DICOM, and the native MIF format) and integrates deeply with high-performance computing environments. MRtrix3 also pioneers 'Fixel-Based Analysis' (FBA), a framework for conducting statistical inference on sub-voxel fiber populations, effectively bridges the gap between macro-scale tractography and micro-scale fiber density measurements.
Estimates FODs by utilizing multiple b-value shells to separate white matter, gray matter, and CSF components.
Precision Medical Diagnostics and Predictive Clinical Decision Support.
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Assigns weights to each streamline such that the total streamline density matches the underlying FOD intensity.
Uses high-resolution T1-weighted image segmentations to guide tractography termination and pathing.
A paradigm for statistical analysis on 'fixels' (fiber elements), accounting for multiple fiber populations within a voxel.
Supports processing of both standard dMRI and high-resolution HARDI data with optimized memory mapping.
A Bayesian framework for reconstructing fiber tracts by optimizing the fit of a global model to the image data.
High-performance OpenGL-based visualization of fiber orientation distribution functions in real-time.
Safe resection of brain tumors requires precise mapping of eloquent white matter tracts (e.g., corticospinal tract).
Registry Updated:2/7/2026
Traditional MRI cannot detect early axonal degeneration before gross atrophy occurs.
Researchers need to map the entire network of brain connections to study human behavior.