License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DFU.SciViz.2010.124
URN: urn:nbn:de:0030-drops-27013
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2010/2701/
Go to the corresponding DFU Volume Portal

Hlawitschka, Mario ; Scheuermann, Gerik

Tracking Lines in Higher Order Tensor Fields

pdf-format:
10.pdf (12 MB)

Abstract

While tensors occur in many areas of science and engineering, little has been done to visualize tensors with order higher than two. Tensors of higher orders can be used for example to describe complex diffusion patterns in magnetic resonance imaging (MRI). Recently, we presented a method for tracking lines in higher order tensor fields that is a generalization of methods known from first order tensor fields (vector fields) and symmetric second order tensor fields. Here, this method is applied to magnetic resonance imaging where tensor fields are used to describe diffusion patterns for example of hydrogen in the human brain. These patterns align to the internal structure and can be used to analyze interconnections between different areas of the brain, the so called tractography problem. The advantage of using higher order tensor lines is the ability to detect crossings locally, which is not possible in second order tensor fields. In this paper, the theoretical details will be extended and tangible results will be given on MRI data sets.

BibTeX - Entry

@InCollection{hlawitschka_et_al:DFU:2010:2701,
  author =	{Mario Hlawitschka and Gerik Scheuermann},
  title =	{{Tracking Lines in Higher Order Tensor Fields}},
  booktitle =	{Scientific Visualization: Advanced Concepts},
  pages =	{124--135},
  series =	{Dagstuhl Follow-Ups},
  ISBN =	{978-3-939897-19-4},
  ISSN =	{1868-8977},
  year =	{2010},
  volume =	{1},
  editor =	{Hans Hagen},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2701},
  URN =		{urn:nbn:de:0030-drops-27013},
  doi =		{10.4230/DFU.SciViz.2010.124},
  annote =	{Keywords: Tensor Field, Line Tracking}
}

Keywords: Tensor Field, Line Tracking
Collection: Scientific Visualization: Advanced Concepts
Issue Date: 2010
Date of publication: 02.08.2010

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI