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Distance-Based Focus + Context Models for Exploring Large Volumetric Medical Datasets
Sept.-Oct. 2012 (vol. 14 no. 5)
pp. 63-71
Yanlin Luo, Beijing Normal University and the Institute of Software of the Chinese Academy of Sciences
The exploration and visualization of large volumetric medical datasets from high-resolution computed tomography (CT) and medical resonance imaging (MRI) medical images are slow in rendering speed because of the large amount of data. Distance-based methods can address such issues, based on GPU volume raycasting and the idea of focus + context.
Index Terms:
Decision support systems,Computed tomography,Context awareness,Scientific computing,Medical information systems,Rendering (computer graphics),Volume measurement,Visualization,scientific computing,GPU raycaster,importance-driven volume rendering,volume illustration,focus + context techniques
Citation:
Yanlin Luo, "Distance-Based Focus + Context Models for Exploring Large Volumetric Medical Datasets," Computing in Science and Engineering, vol. 14, no. 5, pp. 63-71, Sept.-Oct. 2012, doi:10.1109/MCSE.2011.114
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