Figure 1 : Samples generated with our diffusion tensor visualization application. (a) shows automatically clustered whole brain tracking with assigned colors. (b) displays the optic tract (orange) and the pyramidal tract (blue) in combination with direct volume rendering of high resolution magnetic resonance data. (c) is an example for safety estimation with the use of staggered hulls. (d) shows color encoded cluster segments of the corpus callosum combined with MRI T 1 data. ABSTRACT Diffusion

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... tensor imaging is a magnetic resonance imaging method which has gained increasing importance in neuroscience and especially in neurosurgery. It acquires diffusion properties represented by a symmetric 2nd order tensor for each voxel in the gathered dataset. From the medical point of view, the data is of special interest due to different diffusion characteristics of varying brain tissue allowing conclusions about the underlying structures such as white matter tracts. An obvious way to visualize this data is to focus on the anisotropic areas using the major eigenvector for tractography and rendering lines for visualization of the simulation results. Our approach extends this technique to avoid line representation since lines lead to very complex illustrations and furthermore are mistakable. Instead, we generate surfaces wrapping bundles of lines. Thereby, a more intuitive representation of different tracts is achieved.