Vesna Prckovska1, Tim H.J.M. Peeters1,
Markus van Almsick1, Anna Vilanova1, Bart ter Haar
Romeny1
1Biomedical Engineering,
We
present a novel visualization framework that unifies the models from DTI and
HARDI, using a classification scheme for model selection. The data is represented by diffusion
tensors or fibers in the Gaussian and HARDI glyphs in the non-Gaussian areas.
We exploit the capabilities of modern GPU to optimize the rendering
performance and visual quality of the glyphs. All of the visualization
parameters are controlled by the user in real time. Different color coding on the glyphs
enhance the anisotropy information or highlight maxima. This is the first
attempt to give fast and intuitive insight into the complex HARDI data.