삼차원 볼륨 영상의 가시화를 위한 GPU 기반의 효율적인 등위면 전이 알고리즘

초록

We describe a new algorithm that extracts a connected component of an isosurface, or a contour, for accurate and efficient visualization of 3D rectilinear imaging data. An isosurface is a level set surface that has the same value and is widely used for volume visualization. Since a single isosurface may consist of many contours, with each representing a different feature, the ability to select and quickly extract individual contour surfaces is critical for finding and analyzing features of interest in the 3D image without being distracted by other features. We achieved substantial improvements to the extraction performance by minimizing expensive cell subdivision and utilizing many-core GPU architectures. Our method also extracts trilinear isosurface components from input volume data with topological and geometrical accuracy while previous methods generate distortion.

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