Virtual voyage: interactive navigation in the human colon
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
3D digital cleansing using segmentation rays
Proceedings of the conference on Visualization '00
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Lighting Transfer Functions Using Gradient Aligned Sampling
VIS '04 Proceedings of the conference on Visualization '04
A Pipeline for Computer Aided Polyp Detection
IEEE Transactions on Visualization and Computer Graphics
Lines of Curvature for Polyp Detection in Virtual Colonoscopy
IEEE Transactions on Visualization and Computer Graphics
ACM SIGGRAPH 2007 courses
Sinus Endoscopy - Application of Advanced GPU Volume Rendering for Virtual Endoscopy
IEEE Transactions on Visualization and Computer Graphics
Volume Ray Casting with Peak Finding and Differential Sampling
IEEE Transactions on Visualization and Computer Graphics
Perspective isosurface and direct volume rendering for virtual endoscopy applications
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
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Virtual Colonoscopy is an important procedure for screening and detecting colorectal cancer. It increases patient comfort and reduces risks compared to optical colonoscopy. Oral contrast is used to emphasize the soft tissue border and avoid the need for physical colon cleansing. In order to ensure a reliable diagnosis, it is currently necessary to remove the fecal tagging in a time consuming pre-processing step. As the result can include artifacts and may effect polyp size, this paper proposes a novel technique that allows realistic visualization of the surface boundary based on unmodified CT images. A combined iso-surface reconstruction and direct volume rendering approach is developed to handle partial volume artifacts efficiently and allow on-the-fly surface reconstruction. The algorithm supports real-time analysis of detected surfaces and can differentiate material transitions between air, soft tissue and fluid. The surface-based rendering furthermore allows photo-realistic visualization through screen space shading to support procedure planning and interactive training.