Table of Contents
In this practical work, we will use diffusion MRI images of the human brain. We will use BrainVISA Diffusion & Tracking toolbox to process data. From the raw data, we will do several processing steps : diffusion model and maps computation, fibers fascicles tracking.
The main processing steps will be:
Data importation: raw data importation in the BrainVISA database.
Diffusion model pipeline: This pipeline groups all the processing steps necessary to build a diffusion model from a diffusion-weighted acquisition: echoplanar distorsion correction, brain mask creation, diffusion model compuation, diffusion maps creation (ADC, FA, Volume Ratio, RGB ...). The model can be a tensor image (DTI) or a QBall model.
Fascicles Tracking Pipeline: Tracking, reconstruction of white matter fibers from one or several regionss of interest (ROI) and a diffusion model.
Diffusion Bundles Transformation : this step enables to use four bundles filtering tools for changing referential, fascicle selection and splitting according to regions crossed and fascicle length filtering.
Diffusion Bundles Analysis: this step computes several quantitative information for each input fascicles bundle like length or fractional anisotropy along the fascicles.
For more information about the diffusion MRI processing steps, see the slides of a presentation about the Diffusion & Tracking toolbox (http://brainvisa.info/doc/connectomist/connectomist.pdf).