IEEE Computer Graphics and Applications
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Efficient ray tracing of volume data
ACM Transactions on Graphics (TOG)
Footprint evaluation for volume rendering
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Accelerated volume rendering and tomographic reconstruction using texture mapping hardware
VVS '94 Proceedings of the 1994 symposium on Volume visualization
Direct volume rendering with shading via three-dimensional textures
Proceedings of the 1996 symposium on Volume visualization
Efficiently using graphics hardware in volume rendering applications
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
Proceedings of the conference on Visualization '00
Wavelets for Computer Graphics: A Primer, Part 1
IEEE Computer Graphics and Applications
Interacting with Direct Volume Rendering
IEEE Computer Graphics and Applications
Texture-Based 3-D Brain Imaging
BIBE '01 Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering
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Advanced medical imaging technologies have enabled biologists and biomedical researchers to create accurate models and identify features in complex, large-scale data sets. These models, which are typically based on a CT or MRI scan, occupy large amounts of storage space and can no longer be archived on local hard drives. They are also difficult to transmit over currently existing networks. Large-scale biomedical image data, which is typically stored in a large data repository, must be preprocessed in order to enable real-time data transmission and interactive rendering. To make the model accessible to researchers at remote locations over the Internet within a reasonable amount of time, we are describing a web-based volume modeling and feature identification system that incorporates a multiresolution rendering technique for transforming large-scale volume models in to hierarchical represen ations. We are using Haar wavelets to decompose the data set in to a multi-level-of-detail representation that can be transmitted from the server side to the client side in a progressive fashion. The image is rendered using a texture-based visualization technique in Java3D. A new efficient illumination technique has been implemented to improve the image quality of the rendered volumes and to help with the identification of features by using pre-calculated normal vectors for all the surface voxels. The advantage of this method is that the illumination can be calculated on the client side. It does neither affect the data transmission time nor the interactive behavior of the exture-based rendering algorithm.