A Sorting Classification of Parallel Rendering
IEEE Computer Graphics and Applications
Multiresolution techniques for interactive texture-based volume visualization
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Interactive rendering of large volume data sets
Proceedings of the conference on Visualization '02
Interactive Ray Tracing for Volume Visualization
IEEE Transactions on Visualization and Computer Graphics
Large-Scale Data Visualization Using Parallel Data Streaming
IEEE Computer Graphics and Applications
Large volume visualization of compressed time-dependent datasets on GPU clusters
Parallel Computing - Parallel graphics and visualization
Real-time Volume Graphics
Distributed Shared Memory for Roaming Large Volumes
IEEE Transactions on Visualization and Computer Graphics
Visualization in Medicine: Theory, Algorithms, and Applications
Visualization in Medicine: Theory, Algorithms, and Applications
The multimod application framework: A rapid application development tool for computer aided medicine
Computer Methods and Programs in Biomedicine
Multimodal fusion of biomedical data at different temporal and dimensional scales
Computer Methods and Programs in Biomedicine
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In this paper, we present an approach to interactive out-of-core volume data exploration that has been developed to augment the existing capabilities of the LhpBuilder software, a core component of the European project LHDL ( http://www.biomedtown.org/biomed_town/lhdl ). The requirements relate to importing, accessing, visualizing and extracting a part of a very large volume dataset by interactive visual exploration. Such datasets contain billions of voxels and, therefore, several gigabytes are required just to store them, which quickly surpass the virtual address limit of current 32-bit PC platforms. We have implemented a hierarchical, bricked, partition-based, out-of-core strategy to balance the usage of main and external memories. A new indexing scheme is introduced, which permits the use of a multiresolution bricked volume layout with minimum overhead and also supports fast data compression. Using the hierarchy constructed in a pre-processing step, we generate a coarse approximation that provides a preview using direct volume visualization for large-scale datasets. A user can interactively explore the dataset by specifying a region of interest (ROI), which further generates a much more accurate data representation inside the ROI. If even more precise accuracy is needed inside the ROI, nested ROIs are used. The software has been constructed using the Multimod Application Framework, a VTK-based system; however, the approach can be adopted for the other systems in a straightforward way. Experimental results show that the user can interactively explore large volume datasets such as the Visible Human Male/Female (with file sizes of 3.15/12.03 GB, respectively) on a commodity graphics platform, with ease.