Adaptive histogram equalization and its variations
Computer Vision, Graphics, and Image Processing
Display of Surfaces from Volume Data
IEEE Computer Graphics and Applications
Generation of transfer functions with stochastic search techniques
Proceedings of the 7th conference on Visualization '96
VIS '97 Proceedings of the 8th conference on Visualization '97
Semi-automatic generation of transfer functions for direct volume rendering
VVS '98 Proceedings of the 1998 IEEE symposium on Volume visualization
The transfer function bake-off (panel session)
Proceedings of the conference on Visualization '00
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Lighting Transfer Functions Using Gradient Aligned Sampling
VIS '04 Proceedings of the conference on Visualization '04
Transfer Function Based Adaptive Decompression for Volume Rendering of Large Medical Data Sets
VV '04 Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics
A Novel Interface for Higher-Dimensional Classification of Volume Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Curvature-Based Transfer Functions for Direct Volume Rendering: Methods and Applications
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Automated segmentation of acetabulum and femoral head from 3-d CT images
IEEE Transactions on Information Technology in Biomedicine
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Spatialized transfer functions
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation
IEEE Transactions on Visualization and Computer Graphics
Advanced illumination techniques for GPU volume raycasting
ACM SIGGRAPH ASIA 2008 courses
Advanced illumination techniques for GPU-based volume raycasting
ACM SIGGRAPH 2009 Courses
Relation-aware spreadsheets for multimodal volume segmentation and visualization
MLMI'10 Proceedings of the First international conference on Machine learning in medical imaging
Visibility-aware direct volume rendering
Journal of Computer Science and Technology
Model-based transfer functions for efficient visualization of medical image volumes
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Segmentation and visualization of multivariate features using feature-local distributions
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Technical Section: Transfer function combinations
Computers and Graphics
Efficient acquisition and clustering of local histograms for representing voxel neighborhoods
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Probexplorer: uncertainty-guided exploration and editing of probabilistic medical image segmentation
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Interactive visualization of function fields by range-space segmentation
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
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Direct Volume Rendering (DVR) is of increasing diagnostic value in the analysis of data sets captured using the latest medical imaging modalities. The deployment of DVR in everyday clinical work, however, has so far been limited. One contributing factor is that current Transfer Function (TF) models can encode only a small fraction of the user's domain knowledge. In this paper, we use histograms of local neighborhoods to capture tissue characteristics. This allows domain knowledge on spatial relations in the data set to be integrated into the TF. As a first example, we introduce Partial Range Histograms in an automatic tissue detection scheme and present its effectiveness in a clinical evaluation. We then use local histogram analysis to perform a classification where the tissue-type certainty is treated as a second TF dimension. The result is an enhanced rendering where tissues with overlapping intensity ranges can be discerned without requiring the user to explicitly define a complex, multidimensional TF.