Fiber Tractography in Diffusion Tensor Magnetic
Resonance Imaging: A Survey and Beyond

Jun Zhang, Hao Ji, Ning Kang, and Ning Cao
Laboratory for High Performance Scientific Computing and Computer Simulation
Department of Computer Science
University of Kentucky
773 Anderson Hall
Lexington, KY 40506-0046, USA

Abstract

Diffusion tensor magnetic resonance imaging (DT-MRI) is the first noninvasive in vivo imaging modality with the potential to generate fiber tract trajectories in soft fibrous tissues, such as the brain white matter. Several newly developed fiber reconstruction and tractography techniques based on DT-MRI are reviewed in this article, including streamline fiber tracking techniques, diffusion tensor deflection strategy, probabilistic Monte-Carlo method, fast marching tractography based on level set principles, and diffusion simulation-based tractography. We also discuss some potential applications of DT-MRI fiber tractography and list a few available fiber tractography and visualization software packages.


Key words: Diffusion tensor magnetic resonance imaging, fiber tractography, streamline tracking, anisotropic diffusion simulation

Mathematics Subject Classification:


Download the compressed postscript file ji1.ps.gz, or the PDF file ji1.pdf.
Technical Report No. 437-05, Department of Computer Science, University of Kentucky, Lexington, KY, 2005.

This research was supported in part by the U.S. National Science Foundation under the grant CCR-0092532, and ACR-0202934, in part by the U.S. Department of Energy Office of Science under grant DE-FG02-02ER45961.