Siggraph 2005 logo
Conference Exhibition Call For Participation Presenters Media Registration


33. Hot Topics in 3D Medical Visualization

Tutorial, Tuesday, 2 August, 1:45 - 3:30 pm
Room 501AB Level: Intermediate

Recent open-source research initiatives have created new APIs for complex data analysis. Combined with computer graphics, these tools become powerful applications for computer-assisted medicine. This tutorial covers medical applications, data analysis, and visualization, and touches on the policies and digital infrastructure for engaging in open-source software development.


A good working knowledge of basic 3D computer graphics and an understanding of the basic principles of image processing. Some familiarity with medical terminology or experience working on a clinical project is useful, but not necessary.

Intended Audience

Members of the graphics community who are interested in expanding their research directions toward medicine. Researchers interested in learning about the rewards and difficulties of working on open-source 3D visualization software in medical applications.


Luis Ibanez
Kitware Inc.


Stephen Aylward
University of North Carolina at Chapel Hill

Gordon Kindlmann
Brigham and Women's Hospital


1:45 Image Registration
- Image Resampling
- Geometry of Image Mapping
- Registration Framework
- Image Metrics
- Transforms
- Interpolators
- Optimizers
- Multi-Resolution


2:15 Volume Rendering and Transfer Functions
- Convolution-Based Value and Derivative Sampling
- Multi-Dimensional Transfer Functions
- Non-Photo RealisticVolume Rendering
- Interactive Rendering and Exploration
- Basis Functions


2:40 Diffusion Tensor Visualization
- Tensor Glyphs
- Fiber Tractography
- Direction Volume Rendering


3 Clinical Applications From an Open-Source Laboratory
- Multi-Modality Image Registration and Visualization at Intra-Operative Speeds
- Multi-Gigabyte, Multi-Scale, Histological and Magnetic Resonance Image Atlases
- Registering Without Correspondence: Vascular Atlases for Diffuse Disease Detection
- The Daily Costs and Benefits of Using Open-Source