Issue No. 05 - Sept.-Oct. (2012 vol. 14)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.114
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.
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
Y. Luo, "Distance-Based Focus + Context Models for Exploring Large Volumetric Medical Datasets," in Computing in Science & Engineering, vol. 14, no. , pp. 63-71, 2012.