2014 | OriginalPaper | Chapter
Interactive Volume-Based Visualization and Exploration for Diffusion Fiber Tracking
Authors : Dominik Sibbing, Henrik Zimmer, Robin Tomcin, Leif Kobbelt
Published in: Bildverarbeitung für die Medizin 2014
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present a new method to interactively compute and visualize fiber bundles extracted from a diffusion magnetic resonance image. It uses Dijkstra’s shortest path algorithm to find globally optimal pathways from a given seed to all other voxels. Our distance function enables Dijkstra to generalize to larger voxel neighborhoods, resulting in fewer quantization artifacts of the orientations, while the shortest paths are still efficiently computable. Our volumetric fiber representation enables the usage of volume rendering techniques. No complicated pruning or analysis of the resulting fiber tree is needed in order to visualize important fibers. In fact, this can efficiently be done by changing a transfer function. The interactive application allows the user to focus on data exploration.