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Flexible Segmentation and Smoothing of DT-MRI Fields Through a Customizable Structure Tensor

  • Thomas Schultz
  • Bernhard Burgeth
  • Joachim Weickert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4291)

Abstract

We present a novel structure tensor for matrix-valued images. It allows for user defined parameters that add flexibility to a number of image processing algorithms for the segmentation and smoothing of tensor fields. We provide a thorough theoretical derivation of the new structure tensor, including a proof of the equivalence of its unweighted version to the existing structure tensor from the literature. Finally, we demonstrate its advantages for segmentation and smoothing, both on synthetic tensor fields and on real DT-MRI data.

Keywords

Structure Tensor Active Contour Model Geodesic Active Contour Additive Operator Split Geodesic Active Contour Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Thomas Schultz
    • 1
  • Bernhard Burgeth
    • 2
  • Joachim Weickert
    • 2
  1. 1.MPI InformatikSaarbrückenGermany
  2. 2.Mathematical Image Analysis Group, Faculty of Mathematics and Computer ScienceSaarland UniversitySaarbrückenGermany

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