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Distance-Based Focus + Context Models for Exploring Large Volumetric Medical Datasets

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1 Author(s)
Yanlin Luo ; Inst. of Software, Beijing Normal Univ., Beijing, China

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.

Published in:

Computing in Science & Engineering  (Volume:14 ,  Issue: 5 )