Kim Son Nguyen
Rachael Lew

CMPS 161, Winter 2014

White Matter Matters

This project visualizes a DT-MRI data set of a human brain using hyperstreamlines.

Project Links

Technical Document
Source Code/Executable

User Guide

The program takes in the binary tensor data and outputs the points where the fractional anisotropy is high.

Run the Makefile in unix.

Details

The project analyzes diffusion tensor MRI data sets. The process involves mapping the tractography of the diffusion tensor using the eigenvectors and eigenvalues. The tensor field is reduced to a vector field, allowing the use of hyperstreamlines for the visualization.

Background

Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) is a technology that non-invasively measures the diffusion of water in tissue, such as white matter in the brain. White matter is comprised of pathways that connect nerve cells together and consists of myelin-encased fiber bundles. Water diffuses asymmetrically along axon bundles, so white matter appears especially visible. DTI has become a useful tool in the study of white matter anatomy and neurological disorders caused by white matter abnormalities.

References
An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications Superquadric Tensor Glyphs