Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Using visual texture for information display
ACM Transactions on Graphics (TOG)
Visualizing diffusion tensor images of the mouse spinal cord
Proceedings of the conference on Visualization '98
The 3D visualization of brain anatomy from diffusion-weighted magnetic resonance imaging data
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
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Diffusion Tensor Imaging (DTI) is a relatively new imaging modality which can be used to gain in vivo information about the anatomy of the brain. This paper presents three new techniques for the visualization of DTI slice data: Barycentric colour maps allow an integrated view of different types of diffusion anisotropy. Ellipsoid-based textures and Anisotropy Modulated Line Integral Convolution create images which are segmented by tissue type and incorporate a texture representing the 3D orientation of nerve fibers. The effectiveness of the new visualization techniques is demonstrated by identifying various anatomical structures and properties from a diffusion tensor data set of a healthy brain.