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.
|Cite as: Wuensche, B. (2004). Advanced Texturing Techniques for the Effective Visualization of Neoroanatomy from Diffusion Tensor Imaging Data. In Proc. Second Asia-Pacific Bioinformatics Conference (APBC2004), Dunedin, New Zealand. CRPIT, 29. Chen, Y.-P. P., Ed. ACS. 303-308. |
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