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Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization

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9 Author(s)
Suter, S.K. ; Univ. of Zurich, Zurich, Switzerland ; Iglesias Guitian, J.A. ; Marton, F. ; Agus, M.
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Large scale and structurally complex volume datasets from high-resolution 3D imaging devices or computational simulations pose a number of technical challenges for interactive visual analysis. In this paper, we present the first integration of a multiscale volume representation based on tensor approximation within a GPU-accelerated out-of-core multiresolution rendering framework. Specific contributions include (a) a hierarchical brick-tensor decomposition approach for pre-processing large volume data, (b) a GPU accelerated tensor reconstruction implementation exploiting CUDA capabilities, and (c) an effective tensor-specific quantization strategy for reducing data transfer bandwidth and out-of-core memory footprint. Our multiscale representation allows for the extraction, analysis and display of structural features at variable spatial scales, while adaptive level-of-detail rendering methods make it possible to interactively explore large datasets within a constrained memory footprint. The quality and performance of our prototype system is evaluated on large structurally complex datasets, including gigabyte-sized micro-tomographic volumes.

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Visualization and Computer Graphics, IEEE Transactions on  (Volume:17 ,  Issue: 12 )