Volume illustration: non-photorealistic rendering of volume models
Proceedings of the conference on Visualization '00
Multidimensional Transfer Functions for Interactive Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Interactive Multi-volume Visualization
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Visualizing Inner Structures in Multimodal Volume Data
SIBGRAPI '02 Proceedings of the 15th Brazilian Symposium on Computer Graphics and Image Processing
Illustration Motifs for Effective Medical Volume Illustration
IEEE Computer Graphics and Applications
Illustrative Context-Preserving Exploration of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Importance-Driven Focus of Attention
IEEE Transactions on Visualization and Computer Graphics
High-Quality Multimodal Volume Rendering for Preoperative Planning of Neurosurgical Interventions
IEEE Transactions on Visualization and Computer Graphics
Interactive clipping techniques for texture-based volume visualization and volume shading
IEEE Transactions on Visualization and Computer Graphics
Concurrent volume visualization of real-time fMRI
VG'10 Proceedings of the 8th IEEE/EG international conference on Volume Graphics
| Hi-index | 0.00 |
We present novel interactive methods for the visualization of multimodal volume data as used in neurosurgical therapy planning. These methods allow surgeons to explore multimodal volumes and focus on functional data and lesions. Computer graphics techniques are proposed to create expressive visualizations at interactive frame rates to reduce time-consuming and complex interaction with the medical data. Contributions of our work are the distance-based enhancements of functional data and lesions which allows the surgeon to perceive functional and anatomical structures at once and relate them directly to the intervention. In addition we propose methods for the visual exploration of the path to the structures of interest, to enhance anatomical landmarks, and to provide additional depth indicators. These techniques have been integrated in a visualization prototype that provides interaction capabilities for finding the optimal therapeutic strategy for the neurosurgeon.