Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
Perceiving Spatial Relationships in Computer-Generated Images
IEEE Computer Graphics and Applications
Interactive Maximum Projection Volume Rendering
VIS '95 Proceedings of the 6th conference on Visualization '95
Interactive Volume Illustration and Feature Halos
PG '03 Proceedings of the 11th Pacific Conference on Computer Graphics and Applications
Low-complexity maximum intensity projection
ACM Transactions on Graphics (TOG)
Enhancing Depth-Perception with Flexible Volumetric Halos
IEEE Transactions on Visualization and Computer Graphics
Understanding the efficiency of ray traversal on GPUs
Proceedings of the Conference on High Performance Graphics 2009
Perception-Based Transparency Optimization for Direct Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Depth-Dependent Halos: Illustrative Rendering of Dense Line Data
IEEE Transactions on Visualization and Computer Graphics
Isosurface ambient occlusion and soft shadows with filterable occlusion maps
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
Instant volume visualization using maximum intensity difference accumulation
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Interactive 3d visualization of a single-view X-ray image
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
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The two most common methods for the visualization of volumetric data are Direct Volume Rendering (DVR) and Maximum Intensity Projection (MIP). Direct Volume Rendering is superior to MIP in providing a larger amount of properly shaded details, because it employs a more complex shading model together with the use of user-defined transfer functions. However, the generation of adequate transfer functions is a laborious and time costly task, even for expert users. As a consequence, medical doctors often use MIP because it does not require the definition of complex transfer functions and because it gives good results on contrasted images. Unfortunately, MIP does not allow to perceive depth ordering and therefore spatial context is lost. In this paper we present a new approach to MIP rendering that uses depth and simple color blending to disambiguate the ordering of internal structures, while maintaining most of the details visible through MIP. It is usually faster than DVR and only requires the transfer function used by MIP rendering.