“Brain structure visualization using spectral fiber clustering”

  • ©Jan Klein, Felix Ritter, Horst K. Hahn, Jan Rexilius, and Heinz-Otto Peitgen

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Title:

    Brain structure visualization using spectral fiber clustering

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Abstract:


    The visualization of human brain structure is an important new challenge in the area of computer graphics. We present a novel algorithm that allows for visualizing white matter fiber tracts in realtime. Related structure is grouped by our spectral clustering method very efficiently and curvature and spatial depth of the fibers are accentuated by new GPU-based illustrative rendering techniques. Our fiber clustering results are much more accurate and comprehensible than that obtained by previous feature space methods.

References:


    1. Enders, R, Sauber, N., Merhof, D., Hastreiter, P., Nimsky, C., and Stamminger, M. 2005. Visualization of white matter tracts with wrapped streamlines. In IEEE Visualization 2005, 51–58.
    2. Ibanez, L., Aylward, S., and Kindlmann, G. 2005. Hot topics in 3D medical visualization. In SIGGRAPH 2005 Tutorial.
    3. Pauly, M., and Gross, M. 2001. Spectral processing of point-sampled geometry. In SIGGRAPH 2001, 379–386.
    4. Strothotte, T., and Schlechtweg, S. 2002. Non-Photorealistic Computer Graphics: Modeling, Rendering, and Animation. Morgan Kaufmann Publishers, San Francisco.


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