IEEE Trans Vis Comput Graph - GPU-Based Ray-Casting of Spherical Functions Applied to High Angular Resolution Diffusion Imaging.

Tópicos

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Resumo

Abstract-Any sufficiently smooth, positive, real-valued function : S(2) K+ on a sphere S(2) can be expanded by a Laplace expansion into a sum of spherical harmonics. Given the Laplace expansion coefficients, we provide a CPU and GPU-based algorithm that renders the radial graph of in a fast and efficient way by ray-casting the glyph of in the fragment shader of a GPU. The proposed rendering algorithm has proven highly useful in the visualization of high angular resolution diffusion imaging (HARDI) data. Our implementation of the rendering algorithm can display simultaneously thousands of glyphs depicting the local diffusivity of water. The rendering is fast enough to allow for interactive manipulation of large HARDI data sets.

Resumo Limpo

abstractani suffici smooth posit realvalu function s k sphere s can expand laplac expans sum spheric harmon given laplac expans coeffici provid cpu gpubas algorithm render radial graph fast effici way raycast glyph fragment shader gpu propos render algorithm proven high use visual high angular resolut diffus imag hardi data implement render algorithm can display simultan thousand glyph depict local diffus water render fast enough allow interact manipul larg hardi data set

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