This is a copy of the entrant's web pages. The original web site may be found at http://tgsdemo.mc.com/IEEEViz05/.

IEEE Visualization 2005 Contest Entry

Additional information to the IEEE Visualization contest 2005.

PDF:Link to PDF Document

Contest Entry Visualization System

The software used in this submission is AMIRA (www.mc.com). Several modules were written in C++ to extend its capabilities to the field of diffusion tensor imaging.

The following pages contain 3 different kinds of data. First they show screen captures from life demonstrations visualizing the two diffusion patient data sets. Secondly they contain movies generated by our program to further illustrate the different display modules. There are also screen shots done at various stages during the interactive work on the different data sets.

Index

Registration

This section is comparing the two provided data sets. We will call the first data set with 32 gradient '201' and the second data set with 15 gradient '301'.

Local Tensor Displays

This section provides some basic display techniques for diffusion tensor fields on the level of single voxels.

Fibertracking

With methods of fiber tracking one likes to see the fiber bundles that cause the anisotropic diffusion of water molecules in the brain.

TensorPattern

TensorPattern use Gabor-gratings to emphasize the directional properties of tensors. We demonstrate different ways in which they can be tailored to specific imaging needs.

Doing this work would not have been possible without the help of Prof. Khader M. Hasan from the University of Texas. He provided the gradient information used by the MR scanner in this study.

Questions to these pages should be directed to:
Hauke Bartsch (hauke@mc.com)
Werner Benger (benger@mc.com)