Visualization of Probabilistic Fiber Tracts in Virtual Reality

Tobias Rick, Anette von Kapri, Svenja Caspers, Katrin Amunts, Karl Zilles and Torsten Kuhlen
Medicine meets Virtual Reality, Studies in Health Technology and Informatics, 2011, vol. 163, pp. 486-492
[pdf] [bibtex] [doiexternal link]

Abstract. Understanding the connectivity structure of the human brain is a fundamental prerequisite for the treatment of psychiatric or neurological diseases. Probabilistic tractography has become an established method to account for the inherent uncertainties of the actual course of fiber bundles in magnetic resonance imaging data. This paper presents a visualization system that addresses the assessment of fiber probabilities in relation to anatomical landmarks. We employ real-time transparent rendering strategy to display fiber tracts within their structural context in a virtual environment. Thereby, we not only emphasize spatial patterns but furthermore allow an interactive control over the amount of visible anatomical information.

Virtual Reality Interface

images/RKC+2011_1.jpg images/RKC+2011_2.jpg

Left: A user defined magic lens (clipping region) relates the fiber pathway with structural information. Right: Users in an immersive CAVE virtual environment, here the magic lens can be controlled by 3D input devices.

Bibtex entry
author = {Tobias Rick and Anette von Kapri and Svenja Caspers and Katrin Amunts and Karl Zilles 
  and Torsten Kuhlen},
title = {Visualization of Probabilistic Fiber Tracts in Virtual Reality},
booktitle = {Studies in Health Technology and Informatics},
year = {2011}, 
volume = {163},
pages = {486--492},