Diffusion-weighted magnetic resonance imaging is a relatively new modality
capable of elucidating the fibrous structure of certain types of tissue. su
ch as the white matter within the brain. One tool for interpreting this dat
a is volume rendering because it permits the visualization of three dimensi
onal structure without a prior segmentation process. In order to use volume
rendering, however, we must develop methods for assigning opacity and colo
r to the data, and create a method to shade the data to improve the legibil
ity of the rendering. Previous work introduced three such methods: barycent
ric opacity maps, hue-bails (for color), and lit-tensors (for shading). The
current paper expands on and generalizes these methods, describing and dem
onstrating further means of generating opacity, color, and shading from the
tensor information. We also propose anisotropic reaction-diffusion volume
textures as an additional tool for visualizing the structure of diffusion d
ata. The patterns generated by this process can be visualized on their own
or they can be used to supplement the volume rendering strategies described
in the rest of the paper. Finally, because interpolation between data poin
ts is a fundamental issue in volume rendering, we conclude with a discussio
n and evaluation of three distinct interpolation methods suitable for diffu
sion tensor MRI data.