Simulation of wrinkled surfaces
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
The Skull Stripping Problem in MRI Solved by a Single 3D Watershed Transform
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Illustrative Context-Preserving Exploration of Volume Data
IEEE Transactions on Visualization and Computer Graphics
Real-time Volume 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
Medical applications of multi-field volume rendering and VR techniques
VISSYM'04 Proceedings of the Sixth Joint Eurographics - IEEE TCVG conference on Visualization
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Parallel visualization of multiple MRI sequences in 2D is a standard method for exploration of pathological structures for neurosurgery planning. In this work our aim is to support visualization techniques that allow medical experts a fast and comprehensive combined exploration of anatomical structures with inhomogeneous pathological tissue in the three-dimensional volume rendering. The prototypical software solution presented in this paper addresses the issue that a high amount of interaction is commonly needed to merge different MRI sequences and that the resulting visualization does not allow to recognize anatomical details of the brain and pathological tissue at the same time without loss of information. We also present novel clipping methods for neurological volume exploration and emphasize important structures as well as suspicious high intensity signals from multiple sequences in the volume rendering. We demonstrate that our methods facilitate comprehensive volume visualization for neurosurgery.